Pyyan / Compare / Hunyuan 3.0 vs DeepSeek V4-Pro vs Kimi K3 vs Qwen3-235B-A22B
Hunyuan 3.0 vs DeepSeek V4-Pro vs Kimi K3 vs Qwen3-235B-A22B
4 of 5Open-Weight Models · verified 13 Aug 2026
| Specification | Hunyuan 3.0 | DeepSeek V4-Pro | Kimi K3 | Qwen3-235B-A22B |
|---|---|---|---|---|
| Summary | 295B MoE under Apache 2.0. | Best all-round open model of 2026. | Largest open-weight model shipped. | Cheapest capable model, most permissive licence. |
| Context | 256K | — | — | — |
| Licence | Apache-2.0 | MIT | Open weights | Apache-2.0 |
| Parameters | 295B MoE | — | 2.8T | 235B MoE |
| Released | 6 Jul 2026 | — | 17 Jul 2026 | — |
| Category | Open-Weight Models | Open-Weight Models | Open-Weight Models | Open-Weight Models |
| Official | Tencent ↗ | DeepSeek ↗ | Moonshot AI ↗ | Alibaba ↗ |
Highlighted rows are where these differ.
Hunyuan 3.0
- 21B active parameters
- EU/UK/Korea usage restrictions removed
Best for permissive MoE.
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.