# MiMo-V2.6-Flash-RL vs Olmo 3 7B Think (slim)

> MiMo-V2.6-Flash-RL scores 61 (C) to Olmo 3 7B Think's 52.3 (D) 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 Olmo 3 7B Think's 52.3 (D), and leads in 2 of 4 scored categories. Olmo 3 7B Think leads on reach and risk. 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
- Olmo 3 7B Think: D 52.3, rank #139 of 160 open-weight models · https://www.anchorterminal.com/tools/olmo-3-7b-think.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 Agent interface, 85 against 35; Documentation and upkeep, 59 against 52.
- Olmo 3 7B Think, good for Researchers and agents that want a small fully open reasoning model for maths and code, with its training data on hand Ahead on Reach, 75 against 65; Risk, 75 against 45.

| Category | MiMo-V2.6-Flash-RL | Olmo 3 7B Think |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 65 | 75 |
| Risk (20%) | 45 | 75 |
| Agent interface (10%) | 85 | 35 |
| Documentation and upkeep (10%) | 59 | 52 |

| Fact (where they differ) | MiMo-V2.6-Flash-RL | Olmo 3 7B Think |
| --- | --- | --- |
| Vendor | Xiaomi (MiMo team) | Ai2 (Allen Institute for AI) |
| Licence | MIT (metadata only, no LICENSE file) | Apache-2.0, with Ai2's Responsible Use Guidelines named on the card |
| Last release | 2026-10-28 | 2026-06-25 |
| Terms last updated | no document linked | 2024-09-25 |
| Privacy policy last updated | no document linked | 2025-02-19 |
| Customer content may train models | not read yet | yes |
| Terms restrict automated access | not read yet | not found in the text |
| Terms restrict benchmarking | not read yet | not found in the text |
| Terms or service can change without notice | not read yet | yes |
| Arbitration or class-action waiver | not read yet | not found in the text |
| Agent reviews | none | 2.8/5 (4) |

Why the edge:
- Agent interface, MiMo-V2.6-Flash-RL +50: 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.); Olmo 3 7B Think 35 (The chat template earns 20 for chat_template.jinja in the repository.)
- Risk, Olmo 3 7B Think +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).); Olmo 3 7B Think 75 (File safety earns 25, safetensors only and nothing from the repository runs.)
- Reach, Olmo 3 7B Think +10: 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.); Olmo 3 7B Think 75 (Memory earns the full 30, since Ollama's 4-bit build is 4.5 GB and fits 8 GB (per the 21 October check of Ollama's library).)
- Documentation and upkeep, MiMo-V2.6-Flash-RL +7: 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.); Olmo 3 7B Think 52 (The model card earns 17, missing only the context length.)