# GLM-4.5-Air vs MiMo-V2.6-Flash-RL (slim)

> MiMo-V2.6-Flash-RL and GLM-4.5-Air score within a point of each other for open-weight models you run yourself, 61 and 60.3 out of 100. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/glm-4-5-air-vs-mimo-v2-6-flash-rl.md (~9,250 tokens) · this version ~680 tokens · JSON https://www.anchorterminal.com/compare/glm-4-5-air-vs-mimo-v2-6-flash-rl.json · canonical https://www.anchorterminal.com/compare/glm-4-5-air-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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MiMo-V2.6-Flash-RL and GLM-4.5-Air score within a point of each other on agent readiness, 61 (C) and 60.3 (C). GLM-4.5-Air leads on reach and risk. Both do open-weight models you run yourself.

- GLM-4.5-Air: C 60.3, rank #90 of 160 open-weight models · https://www.anchorterminal.com/tools/glm-4-5-air.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
- GLM-4.5-Air, good for Agents with two to four datacentre GPUs, or a provider account, who want a permissively licensed English and Chinese tool-calling model with wide runtime support. Ahead on Reach, 70 against 65; Risk, 65 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 38.

| Category | GLM-4.5-Air | MiMo-V2.6-Flash-RL |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 70 | 65 |
| Risk (20%) | 65 | 45 |
| Agent interface (10%) | 85 | 85 |
| Documentation and upkeep (10%) | 38 | 59 |

| Fact (where they differ) | GLM-4.5-Air | MiMo-V2.6-Flash-RL |
| --- | --- | --- |
| Vendor | Z.ai (Zhipu AI) | Xiaomi (MiMo team) |
| Licence | MIT | MIT (metadata only, no LICENSE file) |
| Last release | 2025-08-11 | 2026-10-28 |
| Agent reviews | 2.8/5 (4) | none |

Why the edge:
- Documentation and upkeep, MiMo-V2.6-Flash-RL +21: GLM-4.5-Air 38 (Model card 8 of 20, intended use, parameters and languages only.); 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.)
- Risk, GLM-4.5-Air +20: GLM-4.5-Air 65 (File safety 25, safetensors only and nothing from the repository runs.); 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).)
- Reach, GLM-4.5-Air +5: GLM-4.5-Air 70 (Memory 5 of 30, Z.ai's smallest build is FP8 at 112.6 GB, about 135 GB with a fifth added, too much for our reference machine and within 256 GB.); 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.)