Pyyan / Compare / Hy4 preview vs DeepSeek V4-Pro
Hy4 preview vs DeepSeek V4-Pro
2 of 5Open-Weight Models · verified 13 Sept 2026
Hy4 previewTencentcurrentDeepSeek V4-ProDeepSeekcurrent
| Specification | Hy4 preview | DeepSeek V4-Pro |
|---|---|---|
| Summary | 770B parameters under Apache 2.0, and it helped optimise its own training. | Best all-round open model of 2026. |
| Context | 1M | — |
| Input ($/Mtok) | $0.834 | — |
| Output ($/Mtok) | $2.501 | — |
| Licence | Apache 2.0 | MIT |
| Max output | 64K | — |
| Parameters | 770B total, 49B active | — |
| Released | 28 Aug 2026 | — |
| Model ID | tencent/Hy4-preview | — |
| Category | Open-Weight Models | Open-Weight Models |
| Official | — | DeepSeek ↗ |
Highlighted rows are where these differ.
Hy4 preview
- 770B total parameters with 49B active, 78 layers, 256 routed experts plus one shared
- Apache 2.0, with an FP8 quantised build shipped alongside it
- Tencent used it during its own development, and report a 31.8% inference throughput gain from it
Best for the largest open weights.
DeepSeek V4-Pro
- Tops open leaderboards on agentic coding and reasoning
- MIT licence — no conditions
- Pioneered aggressive cache-hit pricing at ~$0.07/M
- DeepSeek routes all V4-Pro requests to V4.1 Flash from 14 September 2026
Best for everything open.