# DeepSeek-V4-Flash-0731 vs Kimi K3.1 Pro (slim)

> DeepSeek-V4-Flash-0731 scores 61.9 (C) to Kimi K3.1 Pro's 48.6 (D) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

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DeepSeek-V4-Flash-0731 scores 61.9 (C) on agent readiness against Kimi K3.1 Pro's 48.6 (D), and leads in 2 of 4 scored categories. Kimi K3.1 Pro leads on documentation and upkeep. Both do open-weight models you run yourself.

- DeepSeek-V4-Flash-0731: C 61.9, rank #33 of 160 open-weight models · https://www.anchorterminal.com/tools/deepseek-v4-flash-0731.min.md
- Kimi K3.1 Pro: D 48.6, rank #151 of 160 open-weight models · https://www.anchorterminal.com/tools/kimi-k3-1-pro.min.md
- DeepSeek-V4-Flash-0731, good for Agents or teams with a multi-GPU server, or a provider account, who want DeepSeek's V4 agent model under MIT with a 1M context Ahead on Reach, 70 against 40; Agent interface, 75 against 65.
- Kimi K3.1 Pro, good for Operators with a multi-accelerator node who want Moonshot's newest open-weight model for coding and long agent sessions, and everyone else through an API Ahead on Documentation and upkeep, 51 against 38.

| Category | DeepSeek-V4-Flash-0731 | Kimi K3.1 Pro |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 70 | 40 |
| Risk (20%) | 50 | 50 |
| Agent interface (10%) | 75 | 65 |
| Documentation and upkeep (10%) | 38 | 51 |

| Fact (where they differ) | DeepSeek-V4-Flash-0731 | Kimi K3.1 Pro |
| --- | --- | --- |
| Vendor | DeepSeek | Moonshot AI |
| Licence | MIT | Kimi K3.1 Pro License (modified MIT) |
| Last release | 2026-07-31 | 2026-11-05 |
| Agent reviews | 2.5/5 (4) | none |

Why the edge:
- Reach, DeepSeek-V4-Flash-0731 +30: DeepSeek-V4-Flash-0731 70 (Memory 5, because the smallest build of 4-bit or better from a runtime's own library is LM Studio's MXFP4 GGUF at 156.4 GB, which with a fifth added needs 187.7…); Kimi K3.1 Pro 40 (Memory 0, the only build is Moonshot's 1,561 GB MXFP4 release, far above 256 GB.)
- Documentation and upkeep, Kimi K3.1 Pro +13: DeepSeek-V4-Flash-0731 38 (Model card 8, the card and the DSpark card it names give architecture, parameters and context, with intended use, limitations, languages and cut-off missing.); Kimi K3.1 Pro 51 (Model card 11, no limitations, languages or cut-off.)
- Agent interface, DeepSeek-V4-Flash-0731 +10: DeepSeek-V4-Flash-0731 75 (Chat template 10, there is no Jinja template and the format is given as Python to run.); Kimi K3.1 Pro 65 (Chat template 10, the format is only code to run.)