Pyyan / Compare / Sarvam vs DeepSeek V4-Pro vs GLM-5.2 vs Qwen3-235B-A22B
Sarvam vs DeepSeek V4-Pro vs GLM-5.2 vs Qwen3-235B-A22B
4 of 5Open-Weight Models · verified 13 Aug 2026
| Specification | Sarvam | DeepSeek V4-Pro | GLM-5.2 | Qwen3-235B-A22B |
|---|---|---|---|---|
| Summary | India-first model for Indic languages. | Best all-round open model of 2026. | Strongest open reasoning and mathematics. | Cheapest capable model, most permissive licence. |
| Licence | Open weights | MIT | Open weights | Apache-2.0 |
| Parameters | — | — | — | 235B MoE |
| Category | Open-Weight Models | Open-Weight Models | Open-Weight Models | Open-Weight Models |
| Official | Sarvam AI ↗ | DeepSeek ↗ | Zhipu AI ↗ | Alibaba ↗ |
Highlighted rows are where these differ.
DeepSeek V4-Pro
- Tops open leaderboards on agentic coding and reasoning
- MIT licence — no conditions
- Pioneered aggressive cache-hit pricing at ~$0.07/M
Best for everything open.
Qwen3-235B-A22B
- No licence conditions whatsoever
- 22B active of 235B total
Best for commercial self-hosting.