# Cola2 vs Kimi K3.1 Pro (slim)

> Kimi K3.1 Pro scores 48.6 (D) to Cola2's 33.9 (F) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/cola2-vs-kimi-k3-1-pro.md (~8,550 tokens) · this version ~680 tokens · JSON https://www.anchorterminal.com/compare/cola2-vs-kimi-k3-1-pro.json · canonical https://www.anchorterminal.com/compare/cola2-vs-kimi-k3-1-pro
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-11-10
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Kimi K3.1 Pro scores 48.6 (D) on agent readiness against Cola2's 33.9 (F), and leads in 3 of 4 scored categories. Cola2 leads on documentation and upkeep. Both do open-weight models you run yourself.

- Cola2: F 33.9, rank #160 of 160 open-weight models · https://www.anchorterminal.com/tools/cola2.min.md
- Kimi K3.1 Pro: D 48.6, rank #151 of 160 open-weight models · https://www.anchorterminal.com/tools/kimi-k3-1-pro.min.md
- Cola2, good for Researchers working on latent or diffusion language models who want a checkpoint to study Ahead on Documentation and upkeep, 58 against 51.
- Kimi K3.1 Pro, good for Operators with a multi-accelerator node who want Moonshot's newest open-weight model for coding and long agent sessions, and everyone else through an API Ahead on Reach, 40 against 25; Risk, 50 against 40; Agent interface, 65 against 20.

| Category | Cola2 | Kimi K3.1 Pro |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 25 | 40 |
| Risk (20%) | 40 | 50 |
| Agent interface (10%) | 20 | 65 |
| Documentation and upkeep (10%) | 58 | 51 |

| Fact (where they differ) | Cola2 | Kimi K3.1 Pro |
| --- | --- | --- |
| Vendor | ByteDance (Seed) | Moonshot AI |
| Licence | None stated for the weights (the code is Apache 2.0) | Kimi K3.1 Pro License (modified MIT) |
| Last release | 2026-11-06 | 2026-11-05 |

Why the edge:
- Agent interface, Kimi K3.1 Pro +45: Cola2 20 (Chat template 20, A chat template in tokenizer_config.json (4,116 characters), which came with the Qwen3 tokenizer.); Kimi K3.1 Pro 65 (Chat template 10, the format is only code to run.)
- Reach, Kimi K3.1 Pro +15: Cola2 25 (Memory 15, the only build is the F32 safetensors set, 35.07 GB, and 35.07 GB × 1.2 = 42.1 GB, within 64 GB.); Kimi K3.1 Pro 40 (Memory 0, the only build is Moonshot's 1,561 GB MXFP4 release, far above 256 GB.)
- Risk, Kimi K3.1 Pro +10: Cola2 40 (File safety 15, safetensors only, no .bin, .pt or .pth files (25).); Kimi K3.1 Pro 50 (File safety 15, safetensors only, less 10 for remote code and prompts built by the repository's script.)
- Documentation and upkeep, Cola2 +7: Cola2 58 (Model card 8, Intended use and limitations (the out-of-scope list, and the unconverged latent model) and the architecture are on the card and the GitHub model c…); Kimi K3.1 Pro 51 (Model card 11, no limitations, languages or cut-off.)