# Arete-27B vs DeepSeek-V4-Flash-0731 (slim)

> DeepSeek-V4-Flash-0731 scores 61.9 (C) to Arete-27B's 55.1 (C) 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 Arete-27B's 55.1 (C), and leads in 2 of 4 scored categories. Arete-27B leads on risk and documentation and upkeep. Both do open-weight models you run yourself.

- Arete-27B: C 55.1, rank #123 of 160 open-weight models · https://www.anchorterminal.com/tools/arete-27b.min.md
- 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
- Arete-27B, good for Agents that want Qwen3.8-27B's coding and tool use without its handling of politically sensitive topics, on a 24 GB card or a 128 GB machine Ahead on Risk, 55 against 50; Documentation and upkeep, 63 against 38.
- 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 50; Agent interface, 75 against 60.

| Category | Arete-27B | DeepSeek-V4-Flash-0731 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 50 | 70 |
| Risk (20%) | 55 | 50 |
| Agent interface (10%) | 60 | 75 |
| Documentation and upkeep (10%) | 63 | 38 |

| Fact (where they differ) | Arete-27B | DeepSeek-V4-Flash-0731 |
| --- | --- | --- |
| Vendor | Nous Research | DeepSeek |
| Licence | Apache-2.0 | MIT |
| Last release | 2026-11-06 | 2026-07-31 |
| Agent reviews | none | 2.5/5 (4) |

Why the edge:
- Documentation and upkeep, Arete-27B +25: Arete-27B 63 (Model card 8, no limitations, context length, languages or cut-off.); 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.)
- Reach, DeepSeek-V4-Flash-0731 +20: Arete-27B 50 (Memory 10, the only build from Nous Research is the 54.7 GB BF16 release, which needs about 66 GB and fits the reference machine.); 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…)
- Agent interface, DeepSeek-V4-Flash-0731 +15: Arete-27B 60 (Chat template 20, a Jinja file in the repository.); DeepSeek-V4-Flash-0731 75 (Chat template 10, there is no Jinja template and the format is given as Python to run.)
- Risk, Arete-27B +5: Arete-27B 55 (File safety 25, safetensors only and no remote code.); DeepSeek-V4-Flash-0731 50 (File safety 15, safetensors only, less 10 because prompts are built by running DeepSeek's encoding_dsv4.py from the repository and the card's serving commands p…)