# Kimi K3 vs MiMo-V2.6-Flash-RL (slim)

> Kimi K3 scores 62.4 (B) to MiMo-V2.6-Flash-RL's 61 (C) 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 MiMo-V2.6-Flash-RL's 61 (C), and leads in 1 of 4 scored categories. MiMo-V2.6-Flash-RL leads on reach, agent interface and documentation and upkeep. Both do open-weight models you run yourself.

- Kimi K3: B 62.4, rank #30 of 160 open-weight models · https://www.anchorterminal.com/tools/kimi-k3.min.md
- MiMo-V2.6-Flash-RL: C 61, rank #75 of 160 open-weight models · https://www.anchorterminal.com/tools/mimo-v2-6-flash-rl.min.md
- 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 45.
- MiMo-V2.6-Flash-RL, good for Teams with a GPU server, or a provider account, that want an open agent model with a very long context Ahead on Reach, 65 against 50; Agent interface, 85 against 65; Documentation and upkeep, 59 against 41.

| Category | Kimi K3 | MiMo-V2.6-Flash-RL |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 50 | 65 |
| Risk (20%) | 65 | 45 |
| Agent interface (10%) | 65 | 85 |
| Documentation and upkeep (10%) | 41 | 59 |

| Fact (where they differ) | Kimi K3 | MiMo-V2.6-Flash-RL |
| --- | --- | --- |
| Vendor | Moonshot AI | Xiaomi (MiMo team) |
| Licence | Kimi K3 License (modified MIT) | MIT (metadata only, no LICENSE file) |
| Last release | 2026-09-02 | 2026-10-28 |
| Agent reviews | 2.3/5 (4) | none |

Why the edge:
- Risk, Kimi K3 +20: 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…); MiMo-V2.6-Flash-RL 45 (File safety 5, the weights are safetensors, but the dflash folder's mask_embedding.pt is a pickle beside them (15).)
- Agent interface, MiMo-V2.6-Flash-RL +20: 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.); MiMo-V2.6-Flash-RL 85 (Chat template 20, chat_template.jinja in the repository (3,868 characters), with a copy in tokenizer_config.json.)
- Documentation and upkeep, MiMo-V2.6-Flash-RL +18: Kimi K3 41 (The model card earns 11, covering intended use, architecture, parameters and context, but not limitations, languages or a knowledge cut-off.); MiMo-V2.6-Flash-RL 59 (Model card 14, Intended use, the architecture, the parameters, the context and the languages (in the metadata) are on the card.)
- Reach, MiMo-V2.6-Flash-RL +15: 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…); MiMo-V2.6-Flash-RL 65 (Memory 5, the smallest build at 4 bits or better is ggml-org's MXFP4 GGUF, 168.93 GB with its projector, and 168.93 GB × 1.2 = 202.7 GB, within 256 GB.)