1,314
#1 of 27
GPT-5.2's Indic LLM Arena score, the highest of 27 models; GPT-5.1 1,298, Gemini 3 Flash 1,288
What the chart shows
The Indic LLM Arena, led by AI4Bharat at IIT Madras, scores models through crowd-sourced evaluation in more than 20 Indian languages, covering language quality, cultural grounding and safety. GPT-5.2 scored highest of the 27 models at 1,314, followed by GPT-5.1 (1,298) and Gemini 3 Flash (1,288).
OpenAI and Google models hold the top 11 places. The highest-scoring open-weight model, Qwen3-Next-80B, scored 1,156, and Llama-4-Maverick 1,108. The lowest score was 974, for Qwen3-235B-A22B-Thinking.
Key numbers
| Measure | Value |
|---|---|
| gpt-5.2 | 1,314 |
| gpt-5.1 | 1,298 |
| gemini-3-flash | 1,288 |
| Qwen3-Next-80B-A3B-Instruct | 1,156 |
| Llama-4-Maverick-17B-128E-Instruct | 1,108 |
| Qwen3-235B-A22B-Thinking-2507 | 974 |
How to read it
- Scores are relative ratings from the arena’s crowd-sourced evaluation, so the differences between models matter more than the absolute numbers.
- Open-weight models in the list are the Qwen, Llama, Gemma and Granite models; the GPT and Gemini models are proprietary.
- Results apply to the 27 models in the AI Index’s snapshot of the leaderboard.
- Arena ratings have no true zero, so the chart shows dots on an axis starting at 950: compare the differences between models.
Source: Indic LLM Arena Leaderboard, 2026, via the AI Index Report 2026 (Stanford HAI), figure 3.7.6: Indic LLM Arena. Chart and text by AI Adoption.
Numbers checked against the published data on 20 October 2026.
Download the data (CSV) · Cite this chart
Numbers checked against the published data on 20 October 2026.
Download the data (CSV) · Cite this chart
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