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Best Indian LLMs in 2026
India-focused models built for multilingual Indian language tasks, open weights, and regional market needs. Ranked by GPQA and market fit where benchmark data is available.
Sarvam AI leads India-focused model coverage on our leaderboard with strong multilingual support and open weights. These models are best when you need region-specific language quality, lower vendor lock-in, and strong local developer adoption.
| # | Model | Provider | GPQA | Context | Cost |
|---|---|---|---|---|---|
| 1 | Sarvam 105B | Sarvam AI | 66.5% | 128K | Open |
| 2 | Sarvam 30B | Sarvam AI | — | 32K | Open |
When to use Indian models
Choose India-focused models for Hindi, Tamil, Telugu, and other regional language applications, or when you prefer open-weight Indian providers over global vendors. If your app has strong Indian language or local compliance requirements, these models provide a better starting point than general-purpose frontier models.
See all 45 models with live benchmarks, speed, and pricing.
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