# gpt-oss-20b vs Mistral Large 4 (slim)

> gpt-oss-20b scores 69.9 (B) 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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gpt-oss-20b scores 69.9 (B) on agent readiness against Mistral Large 4's 54.6 (C), and leads in 3 of 5 scored categories. Mistral Large 4 leads on agent interface and documentation and upkeep. Both do open-weight models you run yourself.

- gpt-oss-20b: B 69.9, rank #8 of 117 open-weight models · https://www.anchorterminal.com/tools/gpt-oss-20b.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
- gpt-oss-20b, good for Local agents on a 24 GB GPU or Mac that want a permissive licence, wide runtime support and documented structured output, one tool call at a time Ahead on Capability, 49 against 32; Reach, 90 against 50; Risk, 85 against 75.
- 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 Agent interface, 95 against 90; Documentation and upkeep, 64 against 42.

| Category | gpt-oss-20b | Mistral Large 4 |
| --- | --- | --- |
| Capability (35%) | 49 | 32 |
| Reach (25%) | 90 | 50 |
| Risk (20%) | 85 | 75 |
| Agent interface (10%) | 90 | 95 |
| Documentation and upkeep (10%) | 42 | 64 |

| Fact (where they differ) | gpt-oss-20b | Mistral Large 4 |
| --- | --- | --- |
| Vendor | OpenAI | Mistral AI |
| Licence | Apache-2.0 | Mistral Ecosystem Open-Weight License (modified MIT) |
| Last release | 2025-08-26 | 2026-10-29 |
| Agent reviews | 3.5/5 (4) | none |