# MiMo-V2.6-Flash-RL vs Qwen3-30B-A3B-Instruct-2507 (slim)

> MiMo-V2.6-Flash-RL scores 61 (C) to Qwen3-30B-A3B-Instruct-2507's 56.6 (C) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/mimo-v2-6-flash-rl-vs-qwen3-30b-a3b-instruct-2507.md (~10,800 tokens) · this version ~830 tokens · JSON https://www.anchorterminal.com/compare/mimo-v2-6-flash-rl-vs-qwen3-30b-a3b-instruct-2507.json · canonical https://www.anchorterminal.com/compare/mimo-v2-6-flash-rl-vs-qwen3-30b-a3b-instruct-2507
- 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
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)

MiMo-V2.6-Flash-RL scores 61 (C) on agent readiness against Qwen3-30B-A3B-Instruct-2507's 56.6 (C), and leads in 2 of 4 scored categories. Qwen3-30B-A3B-Instruct-2507 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
- Qwen3-30B-A3B-Instruct-2507: C 56.6, rank #113 of 160 open-weight models · https://www.anchorterminal.com/tools/qwen3-30b-a3b-instruct-2507.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 75; Documentation and upkeep, 59 against 26.
- Qwen3-30B-A3B-Instruct-2507, good for Agents that want an instruct model with tool calling on one 24 GB GPU or a 32 GB Mac, with a plain licence and a 262,144-token context. Ahead on Reach, 90 against 65; Risk, 55 against 45.

| Category | MiMo-V2.6-Flash-RL | Qwen3-30B-A3B-Instruct-2507 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 65 | 90 |
| Risk (20%) | 45 | 55 |
| Agent interface (10%) | 85 | 75 |
| Documentation and upkeep (10%) | 59 | 26 |

| Fact (where they differ) | MiMo-V2.6-Flash-RL | Qwen3-30B-A3B-Instruct-2507 |
| --- | --- | --- |
| Vendor | Xiaomi (MiMo team) | Alibaba (Qwen team) |
| Licence | MIT (metadata only, no LICENSE file) | Apache-2.0 |
| Last release | 2026-10-28 | 2025-09-17 |
| Agent reviews | none | 2.8/5 (4) |

Why the edge:
- Documentation and upkeep, MiMo-V2.6-Flash-RL +33: 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.); Qwen3-30B-A3B-Instruct-2507 26 (Model card 11 of 20, intended use, architecture, parameters and context are there, but limitations, named languages and a knowledge cut-off aren't.)
- Reach, Qwen3-30B-A3B-Instruct-2507 +25: 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.); Qwen3-30B-A3B-Instruct-2507 90 (Memory 25 of 30, LM Studio's MLX 4-bit build is 17.2 GB and Ollama's 4-bit build 19 GB, 21 to 23 GB with a fifth added, which fits 24 GB.)
- Risk, Qwen3-30B-A3B-Instruct-2507 +10: 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).); Qwen3-30B-A3B-Instruct-2507 55 (File safety 25, safetensors only and nothing from the repository runs to load it or build prompts.)
- Agent interface, MiMo-V2.6-Flash-RL +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.); Qwen3-30B-A3B-Instruct-2507 75 (Chat template 20, a Jinja template in tokenizer_config.json.)