# MiMo-V2.6-Flash-RL vs Mistral Large 4 (slim)

> MiMo-V2.6-Flash-RL scores 61 (C) to Mistral Large 4's 54.6 (C) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

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- 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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MiMo-V2.6-Flash-RL scores 61 (C) on agent readiness against Mistral Large 4's 54.6 (C), and leads in 1 of 4 scored categories. Mistral Large 4 leads on risk, agent interface and documentation and upkeep. Both do open-weight models you run yourself.

- 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
- Mistral Large 4: C 54.6, rank #128 of 160 open-weight models · https://www.anchorterminal.com/tools/mistral-large-4.min.md
- 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.
- Mistral Large 4, good for Operators with an 8-GPU Blackwell or H200 node who want a frontier-sized open model for coding agents and defensive security, with a hosted twin on Mistral's API. Ahead on Risk, 75 against 45; Agent interface, 95 against 85; Documentation and upkeep, 64 against 59.

| Category | MiMo-V2.6-Flash-RL | Mistral Large 4 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 65 | 50 |
| Risk (20%) | 45 | 75 |
| Agent interface (10%) | 85 | 95 |
| Documentation and upkeep (10%) | 59 | 64 |

| Fact (where they differ) | MiMo-V2.6-Flash-RL | Mistral Large 4 |
| --- | --- | --- |
| Vendor | Xiaomi (MiMo team) | Mistral AI |
| Licence | MIT (metadata only, no LICENSE file) | Mistral Ecosystem Open-Weight License (modified MIT) |
| Last release | 2026-10-28 | 2026-10-29 |

Why the edge:
- Risk, Mistral Large 4 +30: 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).); Mistral Large 4 75 (File safety scores 25, safetensors only and loaded by Transformers' own code with a Jinja template.)
- Reach, MiMo-V2.6-Flash-RL +15: 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.); Mistral Large 4 50 (Memory scores 0, since the smallest 4-bit build, Mistral's NVFP4, is 610 GB, about 732 GB with a fifth added, far above 256 GB.)
- Agent interface, Mistral Large 4 +10: 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.); Mistral Large 4 95 (The chat template is in the repository (20).)
- Documentation and upkeep, Mistral Large 4 +5: 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.); Mistral Large 4 64 (The card covers intended use, architecture, parameters, context and languages, and misses limitations and a cut-off (14).)