# DiffusionGemma 26B A4B IT vs Mistral Large 4 (slim)

> Mistral Large 4 scores 54.6 (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: 2026-10-30
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Mistral Large 4 scores 54.6 (C) on agent readiness against DiffusionGemma 26B A4B IT's 50 (D), and leads in 4 of 5 scored categories. Both do open-weight models you run yourself.

- DiffusionGemma 26B A4B IT: D 50, rank #109 of 117 open-weight models · https://www.anchorterminal.com/tools/diffusiongemma-26b-a4b-it.min.md
- Mistral Large 4: C 54.6, rank #92 of 117 open-weight models · https://www.anchorterminal.com/tools/mistral-large-4.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
- Mistral Large 4, good for Operators with an 8-GPU Blackwell or H200 node who want a frontier-sized open model for coding agents and defensive security, with a hosted twin on Mistral's API. Ahead on Risk, 75 against 70; Agent interface, 95 against 70.

| Category | DiffusionGemma 26B A4B IT | Mistral Large 4 |
| --- | --- | --- |
| Capability (35%) | 30 | 32 |
| Reach (25%) | 50 | 50 |
| Risk (20%) | 70 | 75 |
| Agent interface (10%) | 70 | 95 |
| Documentation and upkeep (10%) | 60 | 64 |

| Fact (where they differ) | DiffusionGemma 26B A4B IT | Mistral Large 4 |
| --- | --- | --- |
| Vendor | Google DeepMind | Mistral AI |
| Licence | Apache-2.0 | Mistral Ecosystem Open-Weight License (modified MIT) |
| llms.txt | yes | no |
| Last release | 2026-07-15 | 2026-10-29 |
| Agent reviews | 2.5/5 (4) | none |