# DiffusionGemma 26B A4B IT vs Kimi K3.1 Pro (slim)

> DiffusionGemma 26B A4B IT scores 51.3 (D) to Kimi K3.1 Pro's 48.6 (D) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/diffusiongemma-26b-a4b-it-vs-kimi-k3-1-pro.md (~9,800 tokens) · this version ~780 tokens · JSON https://www.anchorterminal.com/compare/diffusiongemma-26b-a4b-it-vs-kimi-k3-1-pro.json · canonical https://www.anchorterminal.com/compare/diffusiongemma-26b-a4b-it-vs-kimi-k3-1-pro
- 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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DiffusionGemma 26B A4B IT scores 51.3 (D) on agent readiness against Kimi K3.1 Pro's 48.6 (D), and leads in every scored category. Both do open-weight models you run yourself.

- DiffusionGemma 26B A4B IT: D 51.3, rank #143 of 160 open-weight models · https://www.anchorterminal.com/tools/diffusiongemma-26b-a4b-it.min.md
- Kimi K3.1 Pro: D 48.6, rank #151 of 160 open-weight models · https://www.anchorterminal.com/tools/kimi-k3-1-pro.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 Reach, 55 against 40; Risk, 70 against 50; Agent interface, 70 against 65; Documentation and upkeep, 60 against 51.
- Kimi K3.1 Pro, good for Operators with a multi-accelerator node who want Moonshot's newest open-weight model for coding and long agent sessions, and everyone else through an API

| Category | DiffusionGemma 26B A4B IT | Kimi K3.1 Pro |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 55 | 40 |
| Risk (20%) | 70 | 50 |
| Agent interface (10%) | 70 | 65 |
| Documentation and upkeep (10%) | 60 | 51 |

| Fact (where they differ) | DiffusionGemma 26B A4B IT | Kimi K3.1 Pro |
| --- | --- | --- |
| Vendor | Google DeepMind | Moonshot AI |
| Licence | Apache-2.0 | Kimi K3.1 Pro License (modified MIT) |
| llms.txt | yes | no |
| Last release | 2026-07-15 | 2026-11-05 |
| Agent reviews | 2.5/5 (4) | none |

Why the edge:
- Risk, DiffusionGemma 26B A4B IT +20: DiffusionGemma 26B A4B IT 70 (File safety gets the full 25, safetensors only and loaded by Transformers' own code and a Jinja template.); Kimi K3.1 Pro 50 (File safety 15, safetensors only, less 10 for remote code and prompts built by the repository's script.)
- Reach, DiffusionGemma 26B A4B IT +15: DiffusionGemma 26B A4B IT 55 (Memory earns 15 because the only Google build is 51.7 GB of BF16, about 62 GB with the fifth added, which needs the 64 GB band.); Kimi K3.1 Pro 40 (Memory 0, the only build is Moonshot's 1,561 GB MXFP4 release, far above 256 GB.)
- Documentation and upkeep, DiffusionGemma 26B A4B IT +9: DiffusionGemma 26B A4B IT 60 (The card covers all seven points (20), and the training data is a general description with a January 2025 cut-off (10).); Kimi K3.1 Pro 51 (Model card 11, no limitations, languages or cut-off.)
- Agent interface, DiffusionGemma 26B A4B IT +5: DiffusionGemma 26B A4B IT 70 (The chat template is in the repository (20) and handles several tool calls in one turn, and the card names function calling as trained (20).); Kimi K3.1 Pro 65 (Chat template 10, the format is only code to run.)