# DeepSeek-V4-Flash-0731 vs MiMo-V2.6-Flash-RL (slim)

> DeepSeek-V4-Flash-0731 and MiMo-V2.6-Flash-RL score within a point of each other for open-weight models you run yourself, 61.9 and 61 out of 100. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-mimo-v2-6-flash-rl.md (~10,600 tokens) · this version ~830 tokens · JSON https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-mimo-v2-6-flash-rl.json · canonical https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-mimo-v2-6-flash-rl
- 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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DeepSeek-V4-Flash-0731 and MiMo-V2.6-Flash-RL score within a point of each other on agent readiness, 61.9 (C) and 61 (C). MiMo-V2.6-Flash-RL leads on agent interface and documentation and upkeep. Both do open-weight models you run yourself.

- DeepSeek-V4-Flash-0731: C 61.9, rank #33 of 160 open-weight models · https://www.anchorterminal.com/tools/deepseek-v4-flash-0731.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
- DeepSeek-V4-Flash-0731, good for Agents or teams with a multi-GPU server, or a provider account, who want DeepSeek's V4 agent model under MIT with a 1M context Ahead on Reach, 70 against 65; Risk, 50 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 Agent interface, 85 against 75; Documentation and upkeep, 59 against 38.

| Category | DeepSeek-V4-Flash-0731 | MiMo-V2.6-Flash-RL |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 70 | 65 |
| Risk (20%) | 50 | 45 |
| Agent interface (10%) | 75 | 85 |
| Documentation and upkeep (10%) | 38 | 59 |

| Fact (where they differ) | DeepSeek-V4-Flash-0731 | MiMo-V2.6-Flash-RL |
| --- | --- | --- |
| Vendor | DeepSeek | Xiaomi (MiMo team) |
| Licence | MIT | MIT (metadata only, no LICENSE file) |
| Last release | 2026-07-31 | 2026-10-28 |
| Agent reviews | 2.5/5 (4) | none |

Why the edge:
- Documentation and upkeep, MiMo-V2.6-Flash-RL +21: DeepSeek-V4-Flash-0731 38 (Model card 8, the card and the DSpark card it names give architecture, parameters and context, with intended use, limitations, languages and cut-off missing.); 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.)
- Agent interface, MiMo-V2.6-Flash-RL +10: DeepSeek-V4-Flash-0731 75 (Chat template 10, there is no Jinja template and the format is given as Python to 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.)
- Reach, DeepSeek-V4-Flash-0731 +5: DeepSeek-V4-Flash-0731 70 (Memory 5, because the smallest build of 4-bit or better from a runtime's own library is LM Studio's MXFP4 GGUF at 156.4 GB, which with a fifth added needs 187.7…); 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.)
- Risk, DeepSeek-V4-Flash-0731 +5: DeepSeek-V4-Flash-0731 50 (File safety 15, safetensors only, less 10 because prompts are built by running DeepSeek's encoding_dsv4.py from the repository and the card's serving commands p…); 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).)