# Darwin-36B-Opus vs Kimi K3 (slim)

> Kimi K3 scores 62.4 (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-kimi-k3.md (~5,950 tokens) · this version ~430 tokens · JSON https://www.anchorterminal.com/compare/darwin-36b-opus-vs-kimi-k3.json · canonical https://www.anchorterminal.com/compare/darwin-36b-opus-vs-kimi-k3
- 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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Kimi K3 scores 62.4 (B) on agent readiness against Darwin-36B-Opus's 61 (C), and leads in 1 of 4 scored categories. Darwin-36B-Opus leads on reach, agent interface and 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
- Kimi K3: B 62.4, rank #29 of 100 open-weight models · https://www.anchorterminal.com/tools/kimi-k3.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 Reach, 80 against 50; Agent interface, 70 against 65; Documentation and upkeep, 51 against 41.
- Kimi K3, good for Teams with a multi-node GPU cluster who want an open 1M-context agent model for long coding and research work Ahead on Risk, 65 against 55.

| Category | Darwin-36B-Opus | Kimi K3 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 80 | 50 |
| Risk (20%) | 55 | 65 |
| Agent interface (10%) | 70 | 65 |
| Documentation and upkeep (10%) | 51 | 41 |

| Fact (where they differ) | Darwin-36B-Opus | Kimi K3 |
| --- | --- | --- |
| Vendor | FINAL-Bench (VIDRAFT) | Moonshot AI |
| Licence | Apache-2.0 | Kimi K3 License (modified MIT) |
| Last release | 2026-04-23 | 2026-09-02 |
| Agent reviews | 2.5/5 (4) | 2.3/5 (4) |