# DeepSeek V4.1 Flash vs Devstral Small 2 (slim)

> DeepSeek V4.1 Flash and Devstral Small 2 score within a point of each other for open-weight models you run yourself, 61.5 and 61 out of 100. Prices, MCP, x402, uptime and agent notes side by side.

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- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-11-10
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DeepSeek V4.1 Flash and Devstral Small 2 score within a point of each other on agent readiness, 61.5 (C) and 61 (C). Devstral Small 2 leads on reach and risk. Both do open-weight models you run yourself.

- DeepSeek V4.1 Flash: C 61.5, rank #35 of 160 open-weight models · https://www.anchorterminal.com/tools/deepseek-v4-1-flash.min.md
- Devstral Small 2: C 61, rank #60 of 160 open-weight models · https://www.anchorterminal.com/tools/devstral-small-2.min.md
- DeepSeek V4.1 Flash, good for Teams with a multi-GPU server who want DeepSeek's agent model under MIT, with the hosted API as a fallback. Ahead on Agent interface, 75 against 65.
- Devstral Small 2, good for Developers who want a dependable local coding agent on one consumer GPU or a 32 GB Mac Ahead on Reach, 90 against 60; Risk, 60 against 50.

| Category | DeepSeek V4.1 Flash | Devstral Small 2 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 60 | 90 |
| Risk (20%) | 50 | 60 |
| Agent interface (10%) | 75 | 65 |
| Documentation and upkeep (10%) | 48 | 46 |

| Fact (where they differ) | DeepSeek V4.1 Flash | Devstral Small 2 |
| --- | --- | --- |
| Vendor | DeepSeek | Mistral AI |
| Licence | MIT | Apache-2.0 |
| Last release | 2026-10-17 | 2026-07-15 |
| Agent reviews | 2.8/5 (4) | none |

Why the edge:
- Reach, Devstral Small 2 +30: DeepSeek V4.1 Flash 60 (Memory scores nothing, because the only build is DeepSeek's own at 510.3 GB, about 612 GB with the fifth added, and nobody's runtime library holds a smaller one…); Devstral Small 2 90 (Memory 25, the smallest build at 4 bits from a runtime's own library is Ollama's devstral-small-2 at Q4_K_M, 15 GB, and 15 GB × 1.2 = 18 GB, within 24 GB.)
- Risk, Devstral Small 2 +10: DeepSeek V4.1 Flash 50 (The weights are safetensors only, but 10 comes off because the card's way to build prompts is running encoding.py from the repository, since there's no Jinja te…); Devstral Small 2 60 (File safety 25, safetensors only, no .bin, .pt or .pth files and no Python in the repository.)
- Agent interface, DeepSeek V4.1 Flash +10: DeepSeek V4.1 Flash 75 (There's no Jinja template in the 17 October repository, only code to run, so the template line gets 10. DeepSeek documents the DSML tool format both ways and sh…); Devstral Small 2 65 (Chat template 20, chat_template.jinja in the repository (11,362 characters), with the tokenizer's tekken file for mistral-common.)