# DiffusionGemma 26B A4B IT vs MiMo-V2.6 Distill Qwen 9B (slim)

> MiMo-V2.6 Distill Qwen 9B scores 61 (C) to DiffusionGemma 26B A4B IT's 50 (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: 2026-10-21
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MiMo-V2.6 Distill Qwen 9B scores 61 (C) on agent readiness against DiffusionGemma 26B A4B IT's 50 (D), and leads in 1 of 4 scored categories. DiffusionGemma 26B A4B IT leads on risk and documentation and upkeep. Both do open-weight models you run yourself.

- DiffusionGemma 26B A4B IT: D 50, rank #94 of 100 open-weight models · https://www.anchorterminal.com/tools/diffusiongemma-26b-a4b-it.min.md
- MiMo-V2.6 Distill Qwen 9B: C 61, rank #41 of 100 open-weight models · https://www.anchorterminal.com/tools/mimo-v2-6-distill-qwen-9b.min.md
- DiffusionGemma 26B A4B IT, good for Agents with about 64 GB of GPU memory that want fast single-user generation from text and images and can accept lower quality than Gemma 4 Ahead on Risk, 70 against 60; Documentation and upkeep, 60 against 40.
- MiMo-V2.6 Distill Qwen 9B, good for Researchers and agents that want a small coding and terminal-agent model to fine-tune further, on a 24 GB GPU or larger. Ahead on Reach, 70 against 50.

| Category | DiffusionGemma 26B A4B IT | MiMo-V2.6 Distill Qwen 9B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 50 | 70 |
| Risk (20%) | 70 | 60 |
| Agent interface (10%) | 70 | 70 |
| Documentation and upkeep (10%) | 60 | 40 |

| Fact (where they differ) | DiffusionGemma 26B A4B IT | MiMo-V2.6 Distill Qwen 9B |
| --- | --- | --- |
| Vendor | Google DeepMind | Xiaomi (MiMo team) |
| Licence | Apache-2.0 | MIT (metadata only, no LICENSE file); built on Qwen3.5-9B under Apache 2.0 |
| llms.txt | yes | no |
| Last release | 2026-07-15 | 2026-09-21 |
| Agent reviews | 2.5/5 (4) | 2.3/5 (4) |