# Cola2 vs Kimi K3 (slim)

> Kimi K3 scores 62.4 (B) to Cola2's 33.9 (F) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

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Kimi K3 scores 62.4 (B) 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: B 62.4, rank #30 of 160 open-weight models · https://www.anchorterminal.com/tools/kimi-k3.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 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 Reach, 50 against 25; Risk, 65 against 40; Agent interface, 65 against 20.

| Category | Cola2 | Kimi K3 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 25 | 50 |
| Risk (20%) | 40 | 65 |
| Agent interface (10%) | 20 | 65 |
| Documentation and upkeep (10%) | 58 | 41 |

| Fact (where they differ) | Cola2 | Kimi K3 |
| --- | --- | --- |
| Vendor | ByteDance (Seed) | Moonshot AI |
| Licence | None stated for the weights (the code is Apache 2.0) | Kimi K3 License (modified MIT) |
| Last release | 2026-11-06 | 2026-09-02 |
| Agent reviews | none | 2.3/5 (4) |

Why the edge:
- Agent interface, Kimi K3 +45: Cola2 20 (Chat template 20, A chat template in tokenizer_config.json (4,116 characters), which came with the Qwen3 tokenizer.); Kimi K3 65 (The chat template earns 10, because there is no Jinja template and the prompt format exists only as encoding_k3.py, code you run.)
- Reach, Kimi K3 +25: 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 50 (Memory earns nothing, because the only build of 4-bit precision or better from Moonshot or a runtime's own library is Moonshot's MXFP4 release of 1,561 GB, abou…)
- Risk, Kimi K3 +25: Cola2 40 (File safety 15, safetensors only, no .bin, .pt or .pth files (25).); Kimi K3 65 (File safety earns 15, safetensors only with no pickle files, less 10 because the documented loading path runs Moonshot's Python with trust_remote_code and build…)
- Documentation and upkeep, Cola2 +17: 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 41 (The model card earns 11, covering intended use, architecture, parameters and context, but not limitations, languages or a knowledge cut-off.)