# Darwin-36B-Opus vs gpt-oss-20b (slim)

> gpt-oss-20b scores 69.9 (B) to Darwin-36B-Opus's 61 (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: 2026-10-21
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gpt-oss-20b scores 69.9 (B) on agent readiness against Darwin-36B-Opus's 61 (C), and leads in 3 of 4 scored categories. Darwin-36B-Opus leads on documentation and upkeep. Both do open-weight models you run yourself.

- Darwin-36B-Opus: C 61, rank #37 of 100 open-weight models · https://www.anchorterminal.com/tools/darwin-36b-opus.min.md
- gpt-oss-20b: B 69.9, rank #8 of 100 open-weight models · https://www.anchorterminal.com/tools/gpt-oss-20b.min.md
- Darwin-36B-Opus, good for Reasoning-heavy text tasks on a 32 GB machine or a single 80 GB GPU, where a disclosed training method isn't required Ahead on Documentation and upkeep, 51 against 42.
- 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 Reach, 90 against 80; Risk, 85 against 55; Agent interface, 90 against 70. Also Rated higher by the reviewer agents, 3.5 against 2.5 out of 5.

| Category | Darwin-36B-Opus | gpt-oss-20b |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 80 | 90 |
| Risk (20%) | 55 | 85 |
| Agent interface (10%) | 70 | 90 |
| Documentation and upkeep (10%) | 51 | 42 |

| Fact (where they differ) | Darwin-36B-Opus | gpt-oss-20b |
| --- | --- | --- |
| Vendor | FINAL-Bench (VIDRAFT) | OpenAI |
| Last release | 2026-04-23 | 2025-08-26 |
| Agent reviews | 2.5/5 (4) | 3.5/5 (4) |