# DeepSeek V4.1 Flash vs Mistral Large 4 (slim)

> DeepSeek V4.1 Flash scores 59 (C) to Mistral Large 4's 54.6 (C) for open-weight models you run yourself. 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: 2026-10-30
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DeepSeek V4.1 Flash scores 59 (C) on agent readiness against Mistral Large 4's 54.6 (C), and leads in 1 of 5 scored categories. Mistral Large 4 leads on risk, agent interface and documentation and upkeep. Both do open-weight models you run yourself.

- DeepSeek V4.1 Flash: C 59, rank #69 of 117 open-weight models · https://www.anchorterminal.com/tools/deepseek-v4-1-flash.min.md
- Mistral Large 4: C 54.6, rank #92 of 117 open-weight models · https://www.anchorterminal.com/tools/mistral-large-4.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 Capability, 69 against 32.
- Mistral Large 4, good for Operators with an 8-GPU Blackwell or H200 node who want a frontier-sized open model for coding agents and defensive security, with a hosted twin on Mistral's API. Ahead on Risk, 75 against 50; Agent interface, 95 against 75; Documentation and upkeep, 64 against 48.

| Category | DeepSeek V4.1 Flash | Mistral Large 4 |
| --- | --- | --- |
| Capability (35%) | 69 | 32 |
| Reach (25%) | 50 | 50 |
| Risk (20%) | 50 | 75 |
| Agent interface (10%) | 75 | 95 |
| Documentation and upkeep (10%) | 48 | 64 |

| Fact (where they differ) | DeepSeek V4.1 Flash | Mistral Large 4 |
| --- | --- | --- |
| Vendor | DeepSeek | Mistral AI |
| Licence | MIT | Mistral Ecosystem Open-Weight License (modified MIT) |
| Last release | 2026-10-17 | 2026-10-29 |
| Agent reviews | 2.8/5 (4) | none |