{
 "dataset": "models",
 "title": "AI models compared",
 "description": "Major AI models with published benchmark scores (each with its source and date) and stated Tamil support.",
 "publisher": "theTN.ai",
 "homepage": "https://thetn.ai/data/",
 "license": {
  "name": "CC BY 4.0",
  "url": "https://creativecommons.org/licenses/by/4.0/",
  "note": "Free to reuse, including commercially, with credit to theTN.ai and a link to the record's theTN.ai page. Facts belong to their original sources, which each record names."
 },
 "how_to_cite": "AI models compared, theTN.ai, https://thetn.ai/data/v1/models.json",
 "notes": "Each record names its source (source_name, source_url) and the date we last checked it (verified_at). drafted_by and approved_by show who wrote and who approved it.",
 "generated_at": "2026-10-26T22:51:11.392Z",
 "count": 27,
 "records": [
  {
   "id": "claude-fable-5-1",
   "page": "https://thetn.ai/models/#claude-fable-5-1",
   "name": "Claude Fable 5.1",
   "maker": "Anthropic",
   "maker_country": "USA",
   "released": "2026-09-01",
   "weights": "closed",
   "modalities": [
    "text",
    "image"
   ],
   "context_tokens": 1000000,
   "price_text": "USD 10 / 50 per million input/output tokens",
   "access": "Claude Pro, Max, Team and Enterprise plans; Claude API, AWS, Google Cloud, Microsoft Foundry",
   "tamil": "Not stated",
   "tamil_note": "Anthropic's multilingual page benchmarks 14 languages including Hindi and Bengali; Tamil is not listed.",
   "summary": "Anthropic's highest-priced model for the hardest, longest coding and research projects. Anthropic says Opus 5.5 performs at its level on most work for less money, so most users will not need it.",
   "benchmarks": [
    {
     "key": "lmarena_text",
     "score": 1501,
     "unit": "Elo",
     "as_of": "2026-10-08",
     "note": "Listed as claude-fable-5.1-max",
     "source_name": "LMArena text leaderboard",
     "source_url": "https://arena.ai/leaderboard/chat/text"
    },
    {
     "key": "aa_index",
     "score": 53,
     "unit": "points",
     "as_of": "2026-10-11",
     "note": "Listed as Claude Fable 5.1 (max with fallback)",
     "source_name": "Artificial Analysis Intelligence Index",
     "source_url": "https://artificialanalysis.ai/leaderboards/models"
    },
    {
     "key": "gpqa_diamond",
     "score": 93.7,
     "unit": "%",
     "as_of": "2026-10-11",
     "note": "Artificial Analysis run, max effort with fallback",
     "source_name": "Artificial Analysis",
     "source_url": "https://artificialanalysis.ai/leaderboards/models"
    },
    {
     "key": "hle",
     "score": 59.1,
     "unit": "%",
     "as_of": "2026-10-11",
     "note": "Artificial Analysis run, max effort with fallback",
     "source_name": "Artificial Analysis",
     "source_url": "https://artificialanalysis.ai/leaderboards/models"
    }
   ],
   "source_name": "Anthropic: Claude Fable product page",
   "source_url": "https://www.anthropic.com/claude/fable",
   "verified_at": "2026-10-11"
  },
  {
   "id": "claude-haiku-5-5",
   "page": "https://thetn.ai/models/#claude-haiku-5-5",
   "name": "Claude Haiku 5.5",
   "maker": "Anthropic",
   "maker_country": "USA",
   "released": "2026-10-07",
   "weights": "closed",
   "modalities": [
    "text",
    "image"
   ],
   "context_tokens": 1000000,
   "price_text": "USD 0.10 / 0.50 per million input/output tokens for prompts up to 100k tokens; USD 0.50 / 2.50 above that",
   "access": "Claude API, AWS, Google Cloud, Microsoft Azure",
   "tamil": "Not stated",
   "tamil_note": "Anthropic's multilingual page benchmarks 14 languages including Hindi and Bengali; Tamil is not listed.",
   "summary": "Anthropic's smallest and cheapest current model. Built for high-volume jobs such as summaries, classification, database queries and live customer support, and as a helper agent next to larger models.",
   "benchmarks": [
    {
     "key": "aa_index",
     "score": 43,
     "unit": "points",
     "as_of": "2026-10-11",
     "note": "Listed as Claude Haiku 5.5 (max)",
     "source_name": "Artificial Analysis Intelligence Index",
     "source_url": "https://artificialanalysis.ai/leaderboards/models"
    },
    {
     "key": "hle",
     "score": 44.4,
     "unit": "%",
     "as_of": "2026-10-11",
     "note": "Artificial Analysis run, max effort",
     "source_name": "Artificial Analysis",
     "source_url": "https://artificialanalysis.ai/leaderboards/models"
    }
   ],
   "source_name": "Anthropic: Introducing Claude Haiku 5.5",
   "source_url": "https://www.anthropic.com/claude-haiku-5-5",
   "verified_at": "2026-10-11"
  },
  {
   "id": "claude-opus-5-5",
   "page": "https://thetn.ai/models/#claude-opus-5-5",
   "name": "Claude Opus 5.5",
   "maker": "Anthropic",
   "maker_country": "USA",
   "released": "2026-09-22",
   "weights": "closed",
   "modalities": [
    "text",
    "image"
   ],
   "context_tokens": 1000000,
   "price_text": "USD 4 / 20 per million input/output tokens",
   "access": "Claude apps, Claude API, AWS, Google Cloud, Microsoft Azure",
   "tamil": "Not stated",
   "tamil_note": "Anthropic's multilingual page benchmarks 14 languages including Hindi and Bengali; Tamil is not listed.",
   "summary": "Anthropic's main flagship model. Strong at long coding jobs, agent tasks and office work such as reports and spreadsheets, and cheaper to run than Opus 5. Suits developers and teams with complex work.",
   "benchmarks": [
    {
     "key": "lmarena_text",
     "score": 1507,
     "unit": "Elo",
     "as_of": "2026-10-08",
     "note": "Listed as claude-opus-5.5-high",
     "source_name": "LMArena text leaderboard",
     "source_url": "https://arena.ai/leaderboard/chat/text"
    },
    {
     "key": "aa_index",
     "score": 58,
     "unit": "points",
     "as_of": "2026-10-11",
     "note": "Listed as Claude Opus 5.5 (max with fallback)",
     "source_name": "Artificial Analysis Intelligence Index",
     "source_url": "https://artificialanalysis.ai/leaderboards/models"
    },
    {
     "key": "hle",
     "score": 61.4,
     "unit": "%",
     "as_of": "2026-10-11",
     "note": "Artificial Analysis run, max effort with fallback",
     "source_name": "Artificial Analysis",
     "source_url": "https://artificialanalysis.ai/leaderboards/models"
    }
   ],
   "source_name": "Anthropic: Introducing Claude Opus 5.5",
   "source_url": "https://www.anthropic.com/news/claude-opus-5-5",
   "verified_at": "2026-10-11"
  },
  {
   "id": "claude-sonnet-5-5",
   "page": "https://thetn.ai/models/#claude-sonnet-5-5",
   "name": "Claude Sonnet 5.5",
   "maker": "Anthropic",
   "maker_country": "USA",
   "released": "2026-09-28",
   "weights": "closed",
   "modalities": [
    "text",
    "image"
   ],
   "context_tokens": 1000000,
   "price_text": "USD 2 / 10 per million input/output tokens",
   "access": "Claude apps, Claude API, AWS, Google Cloud, Microsoft Azure",
   "tamil": "Not stated",
   "tamil_note": "Anthropic's multilingual page benchmarks 14 languages including Hindi and Bengali; Tamil is not listed.",
   "summary": "A faster, lower-cost Claude model that comes close to Opus 5.5 on many tests. A sensible default for everyday coding, bug fixing, documents and slides.",
   "benchmarks": [
    {
     "key": "lmarena_text",
     "score": 1476,
     "unit": "Elo",
     "as_of": "2026-10-08",
     "note": "Listed as claude-sonnet-5.5-xhigh",
     "source_name": "LMArena text leaderboard",
     "source_url": "https://arena.ai/leaderboard/chat/text"
    },
    {
     "key": "aa_index",
     "score": 56,
     "unit": "points",
     "as_of": "2026-10-11",
     "note": "Listed as Claude Sonnet 5.5 (max with fallback)",
     "source_name": "Artificial Analysis Intelligence Index",
     "source_url": "https://artificialanalysis.ai/leaderboards/models"
    },
    {
     "key": "hle",
     "score": 55,
     "unit": "%",
     "as_of": "2026-10-11",
     "note": "Artificial Analysis run, max effort with fallback",
     "source_name": "Artificial Analysis",
     "source_url": "https://artificialanalysis.ai/leaderboards/models"
    }
   ],
   "source_name": "Anthropic: Introducing Claude Sonnet 5.5",
   "source_url": "https://www.anthropic.com/claude-sonnet-5-5",
   "verified_at": "2026-10-11"
  },
  {
   "id": "deepseek-v4-1-flash",
   "page": "https://thetn.ai/models/#deepseek-v4-1-flash",
   "name": "DeepSeek-V4.1-Flash",
   "maker": "DeepSeek",
   "maker_country": "China",
   "released": "2026-09-10",
   "weights": "open",
   "modalities": [
    "text",
    "image"
   ],
   "context_tokens": 1000000,
   "price_text": "USD 0.30 / 1.20 per million input/output tokens at peak hours; half that off-peak",
   "access": "DeepSeek API; free download (Hugging Face); in beta on Sarvam AI's API",
   "tamil": "Not stated",
   "tamil_note": "The model card does not list supported languages.",
   "summary": "DeepSeek's current main model, open under the MIT licence, with text and image input and a 1M-token context. Its API prices are among the lowest here. DeepSeek says it replaced V4-Pro.",
   "benchmarks": [
    {
     "key": "lmarena_text",
     "score": 1475,
     "unit": "Elo",
     "as_of": "2026-10-08",
     "note": "Listed as deepseek-v4.1-flash-max",
     "source_name": "LMArena text leaderboard",
     "source_url": "https://arena.ai/leaderboard/chat/text"
    },
    {
     "key": "aa_index",
     "score": 39,
     "unit": "points",
     "as_of": "2026-10-11",
     "note": "Listed as DeepSeek V4.1 Flash (max)",
     "source_name": "Artificial Analysis Intelligence Index",
     "source_url": "https://artificialanalysis.ai/leaderboards/models"
    },
    {
     "key": "gpqa_diamond",
     "score": 90.9,
     "unit": "%",
     "as_of": "2026-09",
     "source_name": "DeepSeek-V4.1-Flash model card",
     "source_url": "https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash"
    },
    {
     "key": "hle",
     "score": 39.2,
     "unit": "%",
     "as_of": "2026-10-11",
     "note": "Artificial Analysis run, max effort",
     "source_name": "Artificial Analysis",
     "source_url": "https://artificialanalysis.ai/leaderboards/models"
    }
   ],
   "source_name": "DeepSeek API news: DeepSeek-V4.1-Flash release",
   "source_url": "https://api-docs.deepseek.com/news/news260910",
   "verified_at": "2026-10-11"
  },
  {
   "id": "gemini-3-8-flash",
   "page": "https://thetn.ai/models/#gemini-3-8-flash",
   "name": "Gemini 3.8 Flash",
   "maker": "Google",
   "maker_country": "USA",
   "released": "2026-09",
   "weights": "closed",
   "modalities": [
    "text",
    "image",
    "video",
    "audio"
   ],
   "context_tokens": 1048576,
   "price_text": "USD 0.75 / 3.75 per million input/output tokens until 31 Dec 2026, then USD 1.50 / 7.50; free tier available",
   "access": "Gemini API (Google AI Studio, free tier), Google Cloud",
   "tamil": "Stated support",
   "tamil_note": "Google Cloud docs list Tamil (ta) among the languages all Gemini models understand and respond in.",
   "summary": "Google's latest stable Gemini model and its most capable Flash model. It reads text, images, video, audio and PDFs, has a free tier and is cheap for its level. A strong pick for students and builders on a budget.",
   "benchmarks": [
    {
     "key": "lmarena_text",
     "score": 1497,
     "unit": "Elo",
     "as_of": "2026-10-08",
     "note": "Listed as gemini-3.8-flash-high; marked Preliminary",
     "source_name": "LMArena text leaderboard",
     "source_url": "https://arena.ai/leaderboard/chat/text"
    },
    {
     "key": "aa_index",
     "score": 41,
     "unit": "points",
     "as_of": "2026-10-11",
     "note": "Listed as Gemini 3.8 Flash (high)",
     "source_name": "Artificial Analysis Intelligence Index",
     "source_url": "https://artificialanalysis.ai/leaderboards/models"
    },
    {
     "key": "gpqa_diamond",
     "score": 95.3,
     "unit": "%",
     "as_of": "2026-10-11",
     "note": "Artificial Analysis run, high effort",
     "source_name": "Artificial Analysis",
     "source_url": "https://artificialanalysis.ai/leaderboards/models"
    },
    {
     "key": "hle",
     "score": 47.8,
     "unit": "%",
     "as_of": "2026-10-11",
     "note": "Artificial Analysis run, high effort",
     "source_name": "Artificial Analysis",
     "source_url": "https://artificialanalysis.ai/leaderboards/models"
    }
   ],
   "source_name": "Google Gemini API docs: Gemini 3.8 Flash",
   "source_url": "https://ai.google.dev/gemini-api/docs/models/gemini-3.8-flash",
   "verified_at": "2026-10-11"
  },
  {
   "id": "gemini-4-argon",
   "page": "https://thetn.ai/models/#gemini-4-argon",
   "name": "Gemini 4 Argon",
   "maker": "Google",
   "maker_country": "USA",
   "released": "2026-09-30",
   "weights": "closed",
   "context_tokens": 1000000,
   "price_text": "USD 2 / 10 per million input/output tokens until 30 Nov 2026, then USD 4 / 20",
   "access": "Gemini app and AI Mode in Search (Google AI Pro and Ultra); Gemini API paid tier, AI Studio, Google Antigravity",
   "tamil": "Not stated",
   "tamil_note": "Google's launch post does not list supported languages.",
   "summary": "Google's first Gemini 4 model, built for long, multi-step work in coding, finance, law, cybersecurity and science. Independent tests found it rarely guesses when it does not know. Open to paying developers and Pro and Ultra subscribers since 13 Oct 2026.",
   "guide": "2026-10-13-google-gemini-4-argon-available",
   "benchmarks": [
    {
     "key": "aa_index",
     "score": 53,
     "unit": "points",
     "as_of": "2026-10-14",
     "note": "Listed as Gemini 4 Argon (High)",
     "source_name": "Artificial Analysis Intelligence Index",
     "source_url": "https://artificialanalysis.ai/models/gemini-4-argon"
    }
   ],
   "source_name": "Google",
   "source_url": "https://blog.google/innovation-and-ai/models-and-research/gemini-models/introducing-gemini-4-argon/",
   "verified_at": "2026-10-14"
  },
  {
   "id": "gemma-4-31b",
   "page": "https://thetn.ai/models/#gemma-4-31b",
   "name": "Gemma 4 31B",
   "maker": "Google",
   "maker_country": "USA",
   "released": "2026-03-31",
   "weights": "open",
   "modalities": [
    "text",
    "image"
   ],
   "context_tokens": 256000,
   "access": "Free download (Hugging Face); also in beta on Sarvam AI's API",
   "tamil": "Not stated",
   "tamil_note": "Google says Gemma 4 was pre-trained on 140+ languages with out-of-the-box support for 35+; Tamil is not named.",
   "summary": "The largest dense model in Google's open Gemma 4 family, under Apache 2.0. Takes text and images with a 256K context and is sized for workstation GPUs, so it suits local use and fine-tuning.",
   "benchmarks": [
    {
     "key": "lmarena_text",
     "score": 1452,
     "unit": "Elo",
     "as_of": "2026-10-08",
     "note": "Listed as gemma-4-31b",
     "source_name": "LMArena text leaderboard",
     "source_url": "https://arena.ai/leaderboard/chat/text"
    },
    {
     "key": "aa_index",
     "score": 15,
     "unit": "points",
     "as_of": "2026-10-11",
     "note": "Listed as Gemma 4 31B",
     "source_name": "Artificial Analysis Intelligence Index",
     "source_url": "https://artificialanalysis.ai/leaderboards/models"
    },
    {
     "key": "gpqa_diamond",
     "score": 84.3,
     "unit": "%",
     "as_of": "2026-03",
     "source_name": "Google Gemma 4 model card",
     "source_url": "https://ai.google.dev/gemma/docs/core/model_card_4"
    },
    {
     "key": "hle",
     "score": 23.6,
     "unit": "%",
     "as_of": "2026-10-11",
     "note": "Artificial Analysis run, reasoning mode",
     "source_name": "Artificial Analysis",
     "source_url": "https://artificialanalysis.ai/leaderboards/models"
    }
   ],
   "source_name": "Google Gemma 4 model card",
   "source_url": "https://ai.google.dev/gemma/docs/core/model_card_4",
   "verified_at": "2026-10-11"
  },
  {
   "id": "glm-5-3",
   "page": "https://thetn.ai/models/#glm-5-3",
   "name": "GLM-5.3",
   "maker": "Z.ai (Zhipu AI)",
   "maker_country": "China",
   "released": "2026-08",
   "weights": "open",
   "modalities": [
    "text"
   ],
   "context_tokens": 1048576,
   "access": "Mistral API; free download (Hugging Face); in beta on Sarvam AI's API",
   "tamil": "Not stated",
   "tamil_note": "The model card lists English and Chinese only.",
   "summary": "Z.ai's open-weight model focused on coding and long agent tasks, with a 1M-token context. A smaller GLM-5.3-Flash version is released under MIT.",
   "benchmarks": [
    {
     "key": "lmarena_text",
     "score": 1478,
     "unit": "Elo",
     "as_of": "2026-10-08",
     "note": "Listed as glm-5.3-max",
     "source_name": "LMArena text leaderboard",
     "source_url": "https://arena.ai/leaderboard/chat/text"
    },
    {
     "key": "aa_index",
     "score": 45,
     "unit": "points",
     "as_of": "2026-10-11",
     "note": "Listed as GLM-5.3 (max)",
     "source_name": "Artificial Analysis Intelligence Index",
     "source_url": "https://artificialanalysis.ai/leaderboards/models"
    },
    {
     "key": "gpqa_diamond",
     "score": 91.7,
     "unit": "%",
     "as_of": "2026-10-11",
     "note": "Artificial Analysis run, max effort",
     "source_name": "Artificial Analysis",
     "source_url": "https://artificialanalysis.ai/leaderboards/models"
    },
    {
     "key": "hle",
     "score": 42.3,
     "unit": "%",
     "as_of": "2026-10-11",
     "note": "Artificial Analysis run, max effort",
     "source_name": "Artificial Analysis",
     "source_url": "https://artificialanalysis.ai/leaderboards/models"
    }
   ],
   "source_name": "Hugging Face model card: zai-org/GLM-5.3",
   "source_url": "https://huggingface.co/zai-org/GLM-5.3",
   "verified_at": "2026-10-11"
  },
  {
   "id": "gpt-6-1-sol",
   "page": "https://thetn.ai/models/#gpt-6-1-sol",
   "name": "GPT-6.1 Sol",
   "maker": "OpenAI",
   "maker_country": "USA",
   "released": "2026-09-29",
   "weights": "closed",
   "modalities": [
    "text",
    "image"
   ],
   "context_tokens": 1050000,
   "price_text": "USD 2 / 10 per million input/output tokens",
   "access": "ChatGPT Plus, Pro, Business, Enterprise and Edu (Work and Codex); OpenAI API",
   "tamil": "Not stated",
   "tamil_note": "OpenAI's model page does not list supported languages.",
   "summary": "OpenAI's mid-priced model. OpenAI says it comes close to Astra on complex coding, computer use and professional work at a much lower price. A good fit for most paid API projects.",
   "benchmarks": [
    {
     "key": "lmarena_text",
     "score": 1484,
     "unit": "Elo",
     "as_of": "2026-10-08",
     "note": "Listed as gpt-6.1-sol-max",
     "source_name": "LMArena text leaderboard",
     "source_url": "https://arena.ai/leaderboard/chat/text"
    },
    {
     "key": "aa_index",
     "score": 52,
     "unit": "points",
     "as_of": "2026-10-11",
     "note": "Listed as GPT-6.1 Sol (max)",
     "source_name": "Artificial Analysis Intelligence Index",
     "source_url": "https://artificialanalysis.ai/leaderboards/models"
    },
    {
     "key": "hle",
     "score": 52.9,
     "unit": "%",
     "as_of": "2026-10-11",
     "note": "Artificial Analysis run, max effort",
     "source_name": "Artificial Analysis",
     "source_url": "https://artificialanalysis.ai/leaderboards/models"
    }
   ],
   "source_name": "OpenAI API model page: GPT-6.1 Sol",
   "source_url": "https://developers.openai.com/api/docs/models/gpt-6.1-sol",
   "verified_at": "2026-10-11"
  },
  {
   "id": "gpt-6-astra",
   "page": "https://thetn.ai/models/#gpt-6-astra",
   "name": "GPT-6 Astra",
   "maker": "OpenAI",
   "maker_country": "USA",
   "released": "2026-09-03",
   "weights": "closed",
   "modalities": [
    "text",
    "image"
   ],
   "context_tokens": 1050000,
   "price_text": "USD 10 / 50 per million input/output tokens",
   "access": "ChatGPT Plus, Pro, Business and Enterprise; OpenAI API, Microsoft Azure, AWS Bedrock",
   "tamil": "Not stated",
   "tamil_note": "OpenAI's model page does not list supported languages.",
   "summary": "OpenAI's most capable model, aimed at hard reasoning, coding, computer use and research. Powerful but one of the most expensive models per token.",
   "benchmarks": [
    {
     "key": "lmarena_text",
     "score": 1475,
     "unit": "Elo",
     "as_of": "2026-10-08",
     "note": "Listed as gpt-6-astra-max",
     "source_name": "LMArena text leaderboard",
     "source_url": "https://arena.ai/leaderboard/chat/text"
    },
    {
     "key": "aa_index",
     "score": 53,
     "unit": "points",
     "as_of": "2026-10-11",
     "note": "Listed as GPT-6 Astra (max)",
     "source_name": "Artificial Analysis Intelligence Index",
     "source_url": "https://artificialanalysis.ai/leaderboards/models"
    },
    {
     "key": "gpqa_diamond",
     "score": 96,
     "unit": "%",
     "as_of": "2026-09",
     "source_name": "OpenAI: GPT-6 Astra announcement",
     "source_url": "https://openai.com/index/gpt-6-astra/"
    },
    {
     "key": "hle",
     "score": 54.7,
     "unit": "%",
     "as_of": "2026-10-11",
     "note": "Artificial Analysis run, max effort",
     "source_name": "Artificial Analysis",
     "source_url": "https://artificialanalysis.ai/leaderboards/models"
    }
   ],
   "source_name": "OpenAI API model page: GPT-6 Astra",
   "source_url": "https://developers.openai.com/api/docs/models/gpt-6-astra",
   "verified_at": "2026-10-11"
  },
  {
   "id": "gpt-6-luna",
   "page": "https://thetn.ai/models/#gpt-6-luna",
   "name": "GPT-6 Luna",
   "maker": "OpenAI",
   "maker_country": "USA",
   "released": "2026-09-22",
   "weights": "closed",
   "modalities": [
    "text",
    "image"
   ],
   "context_tokens": 1050000,
   "price_text": "USD 0.10 / 0.50 per million input/output tokens",
   "access": "ChatGPT Free and Go tiers; OpenAI API",
   "tamil": "Not stated",
   "tamil_note": "OpenAI's model page does not list supported languages.",
   "summary": "OpenAI's low-cost model for focused, high-volume tasks. It powers GPT-6 for Free and Go users in ChatGPT, so it is the version many students will use first.",
   "benchmarks": [
    {
     "key": "lmarena_text",
     "score": 1443,
     "unit": "Elo",
     "as_of": "2026-10-08",
     "note": "Listed as gpt-6-luna-max",
     "source_name": "LMArena text leaderboard",
     "source_url": "https://arena.ai/leaderboard/chat/text"
    },
    {
     "key": "aa_index",
     "score": 38,
     "unit": "points",
     "as_of": "2026-10-11",
     "note": "Listed as GPT-6 Luna (max)",
     "source_name": "Artificial Analysis Intelligence Index",
     "source_url": "https://artificialanalysis.ai/leaderboards/models"
    },
    {
     "key": "hle",
     "score": 38.5,
     "unit": "%",
     "as_of": "2026-10-11",
     "note": "Artificial Analysis run, max effort",
     "source_name": "Artificial Analysis",
     "source_url": "https://artificialanalysis.ai/leaderboards/models"
    }
   ],
   "source_name": "OpenAI API model page: GPT-6 Luna",
   "source_url": "https://developers.openai.com/api/docs/models/gpt-6-luna",
   "verified_at": "2026-10-11"
  },
  {
   "id": "gpt-oss-120b",
   "page": "https://thetn.ai/models/#gpt-oss-120b",
   "name": "gpt-oss-120b",
   "maker": "OpenAI",
   "maker_country": "USA",
   "released": "2025-08",
   "weights": "open",
   "modalities": [
    "text"
   ],
   "access": "Free download (Hugging Face); many cloud hosts",
   "tamil": "Not stated",
   "tamil_note": "The model card does not list supported languages.",
   "summary": "OpenAI's open-weight reasoning model under the Apache 2.0 licence. It fits on a single 80GB GPU. Older and weaker than the frontier models here, but still widely downloaded.",
   "benchmarks": [
    {
     "key": "lmarena_text",
     "score": 1352,
     "unit": "Elo",
     "as_of": "2026-10-08",
     "note": "Listed as gpt-oss-120b",
     "source_name": "LMArena text leaderboard",
     "source_url": "https://arena.ai/leaderboard/chat/text"
    },
    {
     "key": "aa_index",
     "score": 12,
     "unit": "points",
     "as_of": "2026-10-11",
     "note": "Listed as gpt-oss-120b (high)",
     "source_name": "Artificial Analysis Intelligence Index",
     "source_url": "https://artificialanalysis.ai/leaderboards/models"
    },
    {
     "key": "gpqa_diamond",
     "score": 78.2,
     "unit": "%",
     "as_of": "2026-10-11",
     "note": "Artificial Analysis run, high effort",
     "source_name": "Artificial Analysis",
     "source_url": "https://artificialanalysis.ai/leaderboards/models"
    },
    {
     "key": "hle",
     "score": 19.6,
     "unit": "%",
     "as_of": "2026-10-11",
     "note": "Artificial Analysis run, high effort",
     "source_name": "Artificial Analysis",
     "source_url": "https://artificialanalysis.ai/leaderboards/models"
    }
   ],
   "source_name": "Hugging Face model card: openai/gpt-oss-120b",
   "source_url": "https://huggingface.co/openai/gpt-oss-120b",
   "verified_at": "2026-10-11"
  },
  {
   "id": "grok-4-7",
   "page": "https://thetn.ai/models/#grok-4-7",
   "name": "Grok 4.7",
   "maker": "SpaceXAI (xAI)",
   "maker_country": "USA",
   "released": "2026-09-21",
   "weights": "closed",
   "modalities": [
    "text",
    "image"
   ],
   "context_tokens": 500000,
   "price_text": "USD 2 / 6 per million input/output tokens (prompts under 200k tokens)",
   "access": "Grok API, Grok Build, Cursor, cloud platforms",
   "tamil": "Not stated",
   "tamil_note": "The model page does not list supported languages.",
   "summary": "The flagship Grok model for coding and knowledge work. SpaceXAI says it costs about half as much as comparable frontier models.",
   "benchmarks": [
    {
     "key": "lmarena_text",
     "score": 1443,
     "unit": "Elo",
     "as_of": "2026-10-08",
     "note": "Listed as grok-4.7-xhigh",
     "source_name": "LMArena text leaderboard",
     "source_url": "https://arena.ai/leaderboard/chat/text"
    },
    {
     "key": "aa_index",
     "score": 46,
     "unit": "points",
     "as_of": "2026-10-11",
     "note": "Listed as Grok 4.7 (xhigh)",
     "source_name": "Artificial Analysis Intelligence Index",
     "source_url": "https://artificialanalysis.ai/leaderboards/models"
    },
    {
     "key": "hle",
     "score": 43.1,
     "unit": "%",
     "as_of": "2026-10-11",
     "note": "Artificial Analysis run, xhigh effort",
     "source_name": "Artificial Analysis",
     "source_url": "https://artificialanalysis.ai/leaderboards/models"
    }
   ],
   "source_name": "SpaceXAI: Introducing Grok 4.7",
   "source_url": "https://x.ai/news/grok-4-7",
   "verified_at": "2026-10-11"
  },
  {
   "id": "indictrans2",
   "page": "https://thetn.ai/models/#indictrans2",
   "name": "IndicTrans2",
   "maker": "AI4Bharat (IIT Madras)",
   "maker_country": "India",
   "released": "2023-05",
   "weights": "open",
   "modalities": [
    "text"
   ],
   "access": "Free download (GitHub, Hugging Face)",
   "tamil": "Stated support",
   "tamil_note": "The project page lists Tamil (tam_Taml) among the 22 scheduled Indian languages it translates.",
   "summary": "AI4Bharat's open translation models covering all 22 scheduled Indian languages, with an MIT licence for the model checkpoints. Useful as a free base for English to Indian-language translation tools.",
   "benchmarks": [],
   "source_name": "AI4Bharat IndicTrans2 on GitHub",
   "source_url": "https://github.com/AI4Bharat/IndicTrans2",
   "verified_at": "2026-10-11"
  },
  {
   "id": "kimi-k3",
   "page": "https://thetn.ai/models/#kimi-k3",
   "name": "Kimi K3",
   "maker": "Moonshot AI",
   "maker_country": "China",
   "released": "2026-07",
   "weights": "open",
   "modalities": [
    "text",
    "image",
    "video"
   ],
   "context_tokens": 1048576,
   "access": "Kimi app, Kimi API; free download (Hugging Face)",
   "tamil": "Not stated",
   "tamil_note": "The model card does not list supported languages.",
   "summary": "Moonshot AI's 2.8-trillion-parameter open-weight model with a 1M-token context. Strong at long coding and research tasks. The weights use Moonshot's own Kimi K3 licence.",
   "benchmarks": [
    {
     "key": "lmarena_text",
     "score": 1488,
     "unit": "Elo",
     "as_of": "2026-10-08",
     "note": "Listed as kimi-k3-max",
     "source_name": "LMArena text leaderboard",
     "source_url": "https://arena.ai/leaderboard/chat/text"
    },
    {
     "key": "aa_index",
     "score": 44,
     "unit": "points",
     "as_of": "2026-10-11",
     "note": "Listed as Kimi K3 (max)",
     "source_name": "Artificial Analysis Intelligence Index",
     "source_url": "https://artificialanalysis.ai/leaderboards/models"
    },
    {
     "key": "gpqa_diamond",
     "score": 93.5,
     "unit": "%",
     "as_of": "2026-07",
     "source_name": "Kimi K3 model card",
     "source_url": "https://huggingface.co/moonshotai/Kimi-K3"
    },
    {
     "key": "hle",
     "score": 46.9,
     "unit": "%",
     "as_of": "2026-10-11",
     "note": "Artificial Analysis run, max effort",
     "source_name": "Artificial Analysis",
     "source_url": "https://artificialanalysis.ai/leaderboards/models"
    }
   ],
   "source_name": "Kimi K3 tech blog",
   "source_url": "https://www.kimi.ai/blog/kimi-k3",
   "verified_at": "2026-10-11"
  },
  {
   "id": "krutrim-2",
   "page": "https://thetn.ai/models/#krutrim-2",
   "name": "Krutrim-2",
   "maker": "Krutrim (Ola)",
   "maker_country": "India",
   "released": "2025-02-04",
   "weights": "open",
   "modalities": [
    "text"
   ],
   "context_tokens": 128000,
   "access": "Krutrim Cloud; free download (Hugging Face)",
   "tamil": "Not stated",
   "tamil_note": "Krutrim says the model is trained for Indic languages; the model card does not name Tamil.",
   "summary": "A 12B model from Ola's Krutrim, built on Mistral NeMo and tuned for Indian languages and Indian cultural context. Weights are under the Krutrim Community License.",
   "benchmarks": [],
   "source_name": "Hugging Face model card: krutrim-ai-labs/Krutrim-2-instruct",
   "source_url": "https://huggingface.co/krutrim-ai-labs/Krutrim-2-instruct",
   "verified_at": "2026-10-11"
  },
  {
   "id": "mistral-large-4",
   "page": "https://thetn.ai/models/#mistral-large-4",
   "name": "Mistral Large 4",
   "maker": "Mistral AI",
   "maker_country": "France",
   "released": "2026-10-06",
   "weights": "closed",
   "modalities": [
    "text",
    "image"
   ],
   "context_tokens": 1000000,
   "price_text": "USD 1.36 / 4.18 per million input/output tokens (preview sale price USD 0.68 / 2.09)",
   "access": "Mistral API (public preview)",
   "tamil": "Not stated",
   "tamil_note": "Mistral says training data spanned more than 160 languages; Tamil is not named.",
   "summary": "Mistral's largest model (1 trillion parameters), in public preview since 6 Oct 2026. Mistral says the weights will be released by the end of October 2026; until then it is listed here as closed.",
   "benchmarks": [
    {
     "key": "lmarena_text",
     "score": 1429,
     "unit": "Elo",
     "as_of": "2026-10-08",
     "note": "Listed as mistral-large-4",
     "source_name": "LMArena text leaderboard",
     "source_url": "https://arena.ai/leaderboard/chat/text"
    },
    {
     "key": "aa_index",
     "score": 38,
     "unit": "points",
     "as_of": "2026-10-11",
     "note": "Listed as Mistral Large 4 Preview",
     "source_name": "Artificial Analysis Intelligence Index",
     "source_url": "https://artificialanalysis.ai/leaderboards/models"
    },
    {
     "key": "hle",
     "score": 35,
     "unit": "%",
     "as_of": "2026-10-11",
     "note": "Artificial Analysis run, preview",
     "source_name": "Artificial Analysis",
     "source_url": "https://artificialanalysis.ai/leaderboards/models"
    }
   ],
   "source_name": "Mistral AI: Introducing Mistral Large 4",
   "source_url": "https://mistral.ai/news/mistral-large-4/",
   "verified_at": "2026-10-11"
  },
  {
   "id": "mistral-medium-3-5",
   "page": "https://thetn.ai/models/#mistral-medium-3-5",
   "name": "Mistral Medium 3.5",
   "maker": "Mistral AI",
   "maker_country": "France",
   "released": "2026-04",
   "weights": "open",
   "modalities": [
    "text",
    "image"
   ],
   "context_tokens": 256000,
   "price_text": "USD 1.5 / 7.5 per million input/output tokens",
   "access": "Mistral API; free download (Hugging Face)",
   "tamil": "Not stated",
   "tamil_note": "The model card lists English, French, Spanish, German, Italian, Portuguese, Dutch, Chinese, Japanese, Korean and Arabic; Tamil is not named.",
   "summary": "An open-weight 128B model from France for coding agents, reasoning and image input. Released under a Modified MIT licence with limits for very large companies.",
   "benchmarks": [
    {
     "key": "lmarena_text",
     "score": 1426,
     "unit": "Elo",
     "as_of": "2026-10-08",
     "note": "Listed as mistral-medium-3.5",
     "source_name": "LMArena text leaderboard",
     "source_url": "https://arena.ai/leaderboard/chat/text"
    },
    {
     "key": "aa_index",
     "score": 14,
     "unit": "points",
     "as_of": "2026-10-11",
     "note": "Listed as Mistral Medium 3.5",
     "source_name": "Artificial Analysis Intelligence Index",
     "source_url": "https://artificialanalysis.ai/leaderboards/models"
    },
    {
     "key": "gpqa_diamond",
     "score": 74.8,
     "unit": "%",
     "as_of": "2026-10-11",
     "note": "Artificial Analysis run, default",
     "source_name": "Artificial Analysis",
     "source_url": "https://artificialanalysis.ai/leaderboards/models"
    },
    {
     "key": "hle",
     "score": 13.8,
     "unit": "%",
     "as_of": "2026-10-11",
     "note": "Artificial Analysis run, default",
     "source_name": "Artificial Analysis",
     "source_url": "https://artificialanalysis.ai/leaderboards/models"
    },
    {
     "key": "swe_bench_verified",
     "score": 77.6,
     "unit": "%",
     "as_of": "2026-04",
     "source_name": "Mistral Medium 3.5 model card",
     "source_url": "https://huggingface.co/mistralai/Mistral-Medium-3.5-128B"
    }
   ],
   "source_name": "Hugging Face model card: mistralai/Mistral-Medium-3.5-128B",
   "source_url": "https://huggingface.co/mistralai/Mistral-Medium-3.5-128B",
   "verified_at": "2026-10-11"
  },
  {
   "id": "muse-glimmer",
   "page": "https://thetn.ai/models/#muse-glimmer",
   "name": "Muse Glimmer",
   "maker": "Meta",
   "maker_country": "USA",
   "released": "2026-08-10",
   "weights": "open",
   "modalities": [
    "text",
    "image"
   ],
   "access": "Free download (Hugging Face)",
   "tamil": "Not stated",
   "tamil_note": "Meta says it was trained on data from more than 100 languages; Tamil is not named.",
   "summary": "Meta's open 30B model made for running AI agents on a laptop or PC with one consumer GPU, even offline. The Apache 2.0 licence allows commercial use.",
   "benchmarks": [
    {
     "key": "lmarena_text",
     "score": 1425,
     "unit": "Elo",
     "as_of": "2026-10-08",
     "note": "Listed as muse-glimmer",
     "source_name": "LMArena text leaderboard",
     "source_url": "https://arena.ai/leaderboard/chat/text"
    },
    {
     "key": "aa_index",
     "score": 17,
     "unit": "points",
     "as_of": "2026-10-11",
     "note": "Listed as Muse Glimmer (high)",
     "source_name": "Artificial Analysis Intelligence Index",
     "source_url": "https://artificialanalysis.ai/leaderboards/models"
    },
    {
     "key": "gpqa_diamond",
     "score": 83.5,
     "unit": "%",
     "as_of": "2026-10-11",
     "note": "Artificial Analysis run, high effort",
     "source_name": "Artificial Analysis",
     "source_url": "https://artificialanalysis.ai/leaderboards/models"
    },
    {
     "key": "hle",
     "score": 22,
     "unit": "%",
     "as_of": "2026-10-11",
     "note": "Artificial Analysis run, high effort",
     "source_name": "Artificial Analysis",
     "source_url": "https://artificialanalysis.ai/leaderboards/models"
    }
   ],
   "source_name": "Meta AI Research: Introducing Muse Glimmer",
   "source_url": "https://research.meta.ai/blog/introducing-muse-glimmer-open-agentic-model",
   "verified_at": "2026-10-11"
  },
  {
   "id": "muse-spark-1-3",
   "page": "https://thetn.ai/models/#muse-spark-1-3",
   "name": "Muse Spark 1.3",
   "maker": "Meta",
   "maker_country": "USA",
   "released": "2026-09-02",
   "weights": "closed",
   "access": "Meta Model API, Muse Code",
   "tamil": "Not stated",
   "tamil_note": "Meta's announcement does not list supported languages.",
   "summary": "Meta's closed frontier model, tuned for long agent tasks, coding and following detailed instructions. Developers reach it through the Meta Model API.",
   "benchmarks": [
    {
     "key": "lmarena_text",
     "score": 1494,
     "unit": "Elo",
     "as_of": "2026-10-08",
     "note": "Listed as muse-spark-1.3-max",
     "source_name": "LMArena text leaderboard",
     "source_url": "https://arena.ai/leaderboard/chat/text"
    },
    {
     "key": "aa_index",
     "score": 48,
     "unit": "points",
     "as_of": "2026-10-11",
     "note": "Listed as Muse Spark 1.3 (max)",
     "source_name": "Artificial Analysis Intelligence Index",
     "source_url": "https://artificialanalysis.ai/leaderboards/models"
    },
    {
     "key": "gpqa_diamond",
     "score": 93.5,
     "unit": "%",
     "as_of": "2026-10-11",
     "note": "Artificial Analysis run, max effort",
     "source_name": "Artificial Analysis",
     "source_url": "https://artificialanalysis.ai/leaderboards/models"
    },
    {
     "key": "hle",
     "score": 48.7,
     "unit": "%",
     "as_of": "2026-10-11",
     "note": "Artificial Analysis run, max effort",
     "source_name": "Artificial Analysis",
     "source_url": "https://artificialanalysis.ai/leaderboards/models"
    }
   ],
   "source_name": "Meta AI Research: Introducing Muse Spark 1.3",
   "source_url": "https://research.meta.ai/blog/introducing-muse-spark-1-3",
   "verified_at": "2026-10-11"
  },
  {
   "id": "param2-17b",
   "page": "https://thetn.ai/models/#param2-17b",
   "name": "Param2-17B-A2.4B-Thinking",
   "maker": "BharatGen",
   "maker_country": "India",
   "released": "2026-02",
   "weights": "open",
   "modalities": [
    "text"
   ],
   "context_tokens": 32768,
   "access": "Free download (Hugging Face), non-commercial licence",
   "tamil": "Stated support",
   "tamil_note": "The model card lists Tamil among the 21 Indian languages it supports besides English and Hindi.",
   "summary": "BharatGen's 17B mixture-of-experts model, pretrained from scratch with a focus on Indian languages. Released as an early post-training checkpoint under a non-commercial licence, so it suits research more than products.",
   "benchmarks": [],
   "source_name": "Hugging Face model card: bharatgenai/Param2-17B-A2.4B-Thinking",
   "source_url": "https://huggingface.co/bharatgenai/Param2-17B-A2.4B-Thinking",
   "verified_at": "2026-10-11"
  },
  {
   "id": "qwen3-8-27b",
   "page": "https://thetn.ai/models/#qwen3-8-27b",
   "name": "Qwen3.8-27B",
   "maker": "Alibaba (Qwen)",
   "maker_country": "China",
   "released": "2026-08",
   "weights": "open",
   "modalities": [
    "text",
    "image",
    "video"
   ],
   "context_tokens": 262144,
   "price_text": "USD 0.5 / 3 per million input/output tokens on Qwen Cloud",
   "access": "Free download (Hugging Face); Qwen Cloud API",
   "tamil": "Not stated",
   "tamil_note": "The model card does not list supported languages.",
   "summary": "A compact open Qwen model (27B, Apache 2.0) that reads text, images and video. Its deployment-friendly size makes it a popular base for local apps and fine-tuning.",
   "benchmarks": [
    {
     "key": "lmarena_text",
     "score": 1438,
     "unit": "Elo",
     "as_of": "2026-10-08",
     "note": "Listed as qwen3.8-27b",
     "source_name": "LMArena text leaderboard",
     "source_url": "https://arena.ai/leaderboard/chat/text"
    },
    {
     "key": "aa_index",
     "score": 34,
     "unit": "points",
     "as_of": "2026-10-11",
     "note": "Listed as Qwen3.8 27B (xhigh)",
     "source_name": "Artificial Analysis Intelligence Index",
     "source_url": "https://artificialanalysis.ai/leaderboards/models"
    },
    {
     "key": "gpqa_diamond",
     "score": 89.2,
     "unit": "%",
     "as_of": "2026-08",
     "source_name": "Qwen3.8-27B model card",
     "source_url": "https://huggingface.co/Qwen/Qwen3.8-27B"
    },
    {
     "key": "hle",
     "score": 33.9,
     "unit": "%",
     "as_of": "2026-10-11",
     "note": "Artificial Analysis run, xhigh effort",
     "source_name": "Artificial Analysis",
     "source_url": "https://artificialanalysis.ai/leaderboards/models"
    }
   ],
   "source_name": "Hugging Face model card: Qwen/Qwen3.8-27B",
   "source_url": "https://huggingface.co/Qwen/Qwen3.8-27B",
   "verified_at": "2026-10-11"
  },
  {
   "id": "qwen3-8-max",
   "page": "https://thetn.ai/models/#qwen3-8-max",
   "name": "Qwen3.8-Max",
   "maker": "Alibaba (Qwen)",
   "maker_country": "China",
   "released": "2026-08",
   "weights": "open",
   "modalities": [
    "text",
    "image",
    "video"
   ],
   "price_text": "USD 2 / 6 per million input/output tokens",
   "access": "Qwen Cloud API, Qwen Studio; base weights on Hugging Face as Qwen3.8-2.4T-A95B",
   "tamil": "Not stated",
   "tamil_note": "The model card does not list supported languages.",
   "summary": "Alibaba's flagship, a 2.4-trillion-parameter model for coding and professional work. The hosted Max version adds image and video input; the base weights are published under Qwen's own licence.",
   "benchmarks": [
    {
     "key": "lmarena_text",
     "score": 1483,
     "unit": "Elo",
     "as_of": "2026-10-08",
     "note": "Listed as qwen3.8-max",
     "source_name": "LMArena text leaderboard",
     "source_url": "https://arena.ai/leaderboard/chat/text"
    },
    {
     "key": "aa_index",
     "score": 45,
     "unit": "points",
     "as_of": "2026-10-11",
     "note": "Listed as Qwen3.8 Max (0902)",
     "source_name": "Artificial Analysis Intelligence Index",
     "source_url": "https://artificialanalysis.ai/leaderboards/models"
    },
    {
     "key": "gpqa_diamond",
     "score": 92.6,
     "unit": "%",
     "as_of": "2026-08",
     "source_name": "Qwen3.8-2.4T-A95B model card",
     "source_url": "https://huggingface.co/Qwen/Qwen3.8-2.4T-A95B"
    },
    {
     "key": "hle",
     "score": 43.1,
     "unit": "%",
     "as_of": "2026-10-11",
     "note": "Artificial Analysis run, Qwen3.8 Max (0902)",
     "source_name": "Artificial Analysis",
     "source_url": "https://artificialanalysis.ai/leaderboards/models"
    }
   ],
   "source_name": "Qwen Cloud: Qwen3.8-Max",
   "source_url": "https://www.qwencloud.com/models/qwen3.8-max",
   "verified_at": "2026-10-11"
  },
  {
   "id": "sarvam-105b",
   "page": "https://thetn.ai/models/#sarvam-105b",
   "name": "Sarvam-105B",
   "maker": "Sarvam AI",
   "maker_country": "India",
   "released": "2026-03-06",
   "weights": "open",
   "modalities": [
    "text"
   ],
   "context_tokens": 128000,
   "price_text": "Rs 15 / 60 per million input/output tokens",
   "access": "Sarvam API, Indus app; free download (Hugging Face, AI Kosh)",
   "tamil": "Stated support",
   "tamil_note": "Sarvam's docs list Tamil (ta-IN) among the 10 Indian languages plus English that Sarvam-105B supports, in native script, romanised and code-mixed input.",
   "summary": "Sarvam AI's flagship model, trained from scratch in India on compute from the IndiaAI Mission. Built for Indian languages, reasoning and coding, with Apache 2.0 open weights and a rupee-priced API.",
   "benchmarks": [
    {
     "key": "gpqa_diamond",
     "score": 78.7,
     "unit": "%",
     "as_of": "2026-03",
     "source_name": "Sarvam-105B model card",
     "source_url": "https://huggingface.co/sarvamai/sarvam-105b"
    },
    {
     "key": "swe_bench_verified",
     "score": 45,
     "unit": "%",
     "as_of": "2026-03",
     "note": "SWE-Agent harness",
     "source_name": "Sarvam-105B model card",
     "source_url": "https://huggingface.co/sarvamai/sarvam-105b"
    },
    {
     "key": "hle",
     "score": 11,
     "unit": "%",
     "as_of": "2026-10-11",
     "note": "Artificial Analysis run, high effort",
     "source_name": "Artificial Analysis",
     "source_url": "https://artificialanalysis.ai/leaderboards/models"
    }
   ],
   "source_name": "Sarvam AI: Sarvam 30B and 105B release blog",
   "source_url": "https://www.sarvam.ai/blogs/sarvam-30b-105b",
   "verified_at": "2026-10-11"
  },
  {
   "id": "sarvam-translate",
   "page": "https://thetn.ai/models/#sarvam-translate",
   "name": "Sarvam-Translate",
   "maker": "Sarvam AI",
   "maker_country": "India",
   "released": "2025-06-07",
   "weights": "open",
   "modalities": [
    "text"
   ],
   "price_text": "Rs 20 per 10,000 characters via API",
   "access": "Sarvam API; free download (Hugging Face)",
   "tamil": "Stated support",
   "tamil_note": "The model card lists Tamil among the 22 Indian languages it translates to and from English.",
   "summary": "An open translation model from Sarvam AI, built with AI4Bharat on Google's Gemma 3 4B. Translates whole documents between English and 22 Indian languages. GPL-3.0 licence.",
   "benchmarks": [],
   "source_name": "Sarvam AI: Sarvam Translate blog",
   "source_url": "https://www.sarvam.ai/blogs/sarvam-translate",
   "verified_at": "2026-10-11"
  },
  {
   "id": "tamil-llama",
   "page": "https://thetn.ai/models/#tamil-llama",
   "name": "Tamil LLaMA",
   "maker": "Abhinand Balachandran (independent)",
   "maker_country": "Not stated",
   "released": "2023-11",
   "weights": "open",
   "modalities": [
    "text"
   ],
   "access": "Free download (Hugging Face)",
   "tamil": "Stated support",
   "tamil_note": "The model card describes it as bilingual: English and Tamil.",
   "summary": "A community Tamil and English model built on Llama 2 with an added Tamil vocabulary of about 16,000 tokens. Small and dated by today's standards, but one of the few public models made specifically for Tamil.",
   "benchmarks": [],
   "source_name": "arXiv paper: Tamil-Llama",
   "source_url": "https://arxiv.org/abs/2311.05845",
   "verified_at": "2026-10-11"
  }
 ]
}