Pyyan / Compare / Sarvam vs DeepSeek V4-Pro vs Kimi K3 vs GLM-5.2 vs Qwen3-235B-A22B
Sarvam vs DeepSeek V4-Pro vs Kimi K3 vs GLM-5.2 vs Qwen3-235B-A22B
5 of 5Open-Weight Models · verified 13 Aug 2026
| Specification | Sarvam | DeepSeek V4-Pro | Kimi K3 | GLM-5.2 | Qwen3-235B-A22B |
|---|---|---|---|---|---|
| Summary | India-first model for Indic languages. | Best all-round open model of 2026. | Largest open-weight model shipped. | Strongest open reasoning and mathematics. | Cheapest capable model, most permissive licence. |
| Licence | Open weights | MIT | Open weights | Open weights | Apache-2.0 |
| Parameters | — | — | 2.8T | — | 235B MoE |
| Released | — | — | 17 Jul 2026 | — | — |
| Category | Open-Weight Models | Open-Weight Models | Open-Weight Models | Open-Weight Models | Open-Weight Models |
| Official | Sarvam AI ↗ | DeepSeek ↗ | Moonshot AI ↗ | 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.