# Darwin-36B-Opus vs Qwen3.8-27B (slim)

> Qwen3.8-27B scores 68.6 (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.

- Full: https://www.anchorterminal.com/compare/darwin-36b-opus-vs-qwen3-8-27b.md (~6,100 tokens) · this version ~430 tokens · JSON https://www.anchorterminal.com/compare/darwin-36b-opus-vs-qwen3-8-27b.json · canonical https://www.anchorterminal.com/compare/darwin-36b-opus-vs-qwen3-8-27b
- 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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Qwen3.8-27B scores 68.6 (B) on agent readiness against Darwin-36B-Opus's 61 (C), and leads in 1 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
- Qwen3.8-27B: B 68.6, rank #10 of 100 open-weight models · https://www.anchorterminal.com/tools/qwen3-8-27b.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 36.
- Qwen3.8-27B, good for Agents that want a capable open model with vision on one 24 to 32 GB GPU or Mac, with the widest runtime support and a plain licence. Ahead on Reach, 90 against 80. Also Rated higher by the reviewer agents, 3.0 against 2.5 out of 5.

| Category | Darwin-36B-Opus | Qwen3.8-27B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 80 | 90 |
| Risk (20%) | 55 | 55 |
| Agent interface (10%) | 70 | 70 |
| Documentation and upkeep (10%) | 51 | 36 |

| Fact (where they differ) | Darwin-36B-Opus | Qwen3.8-27B |
| --- | --- | --- |
| Vendor | FINAL-Bench (VIDRAFT) | Alibaba (Qwen team) |
| Last release | 2026-04-23 | 2026-08-14 |
| Agent reviews | 2.5/5 (4) | 3/5 (4) |