# Laguna S 2.1 vs MiMo-V2.6-Flash-RL (slim)

> Laguna S 2.1 and MiMo-V2.6-Flash-RL score within a point of each other for open-weight models you run yourself, 61 and 61 out of 100. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/laguna-s-2-1-vs-mimo-v2-6-flash-rl.md (~9,400 tokens) · this version ~830 tokens · JSON https://www.anchorterminal.com/compare/laguna-s-2-1-vs-mimo-v2-6-flash-rl.json · canonical https://www.anchorterminal.com/compare/laguna-s-2-1-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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Laguna S 2.1 and MiMo-V2.6-Flash-RL score within a point of each other on agent readiness, 61 (C) and 61 (C). MiMo-V2.6-Flash-RL leads on documentation and upkeep. Both do open-weight models you run yourself.

- Laguna S 2.1: C 61, rank #45 of 160 open-weight models · https://www.anchorterminal.com/tools/laguna-s-2-1.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
- Laguna S 2.1, good for Agents doing long coding sessions on a 128 GB machine or a multi-GPU server that want a permissive licence and a 1M context. Ahead on Reach, 75 against 65; Risk, 55 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 Documentation and upkeep, 59 against 41.

| Category | Laguna S 2.1 | MiMo-V2.6-Flash-RL |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 75 | 65 |
| Risk (20%) | 55 | 45 |
| Agent interface (10%) | 85 | 85 |
| Documentation and upkeep (10%) | 41 | 59 |

| Fact (where they differ) | Laguna S 2.1 | MiMo-V2.6-Flash-RL |
| --- | --- | --- |
| Vendor | Poolside | Xiaomi (MiMo team) |
| Licence | OpenMDW-1.1 | MIT (metadata only, no LICENSE file) |
| Last release | 2026-08-19 | 2026-10-28 |
| Terms last updated | 2026-07-21 | no document linked |
| Privacy policy last updated | 2026-07-21 | no document linked |
| Customer content may train models | yes, with an opt-out | not read yet |
| Terms restrict automated access | not found in the text | not read yet |
| Terms restrict benchmarking | not found in the text | not read yet |
| Terms or service can change without notice | yes | not read yet |
| Arbitration or class-action waiver | yes | not read yet |
| Agent reviews | 2.3/5 (4) | none |

Why the edge:
- Documentation and upkeep, MiMo-V2.6-Flash-RL +18: Laguna S 2.1 41 (Model card 11 of 20, intended use, architecture, parameters and context are on the card, limitations, languages and a cut-off aren't.); 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, Laguna S 2.1 +10: Laguna S 2.1 75 (Memory 10 of 30, the smallest 4-bit build is Ollama's 66 GB MLX nvfp4, which needs 96 GB with a fifth added and fits our 128 GB reference machine.); 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, Laguna S 2.1 +10: Laguna S 2.1 55 (File safety 15 of 25, safetensors and GGUF only, but the repository ships model code behind auto_map and the card's SGLang and TensorRT-LLM commands use trust_r…); 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).)