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

> Kimi K3 scores 62.4 (B) 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.

- Full: https://www.anchorterminal.com/compare/diffusiongemma-26b-a4b-it-vs-kimi-k3.md (~6,400 tokens) · this version ~480 tokens · JSON https://www.anchorterminal.com/compare/diffusiongemma-26b-a4b-it-vs-kimi-k3.json · canonical https://www.anchorterminal.com/compare/diffusiongemma-26b-a4b-it-vs-kimi-k3
- 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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Kimi K3 scores 62.4 (B) on agent readiness against DiffusionGemma 26B A4B IT's 50 (D), and leads in 1 of 5 scored categories. DiffusionGemma 26B A4B IT leads on risk, agent interface 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
- Kimi K3: B 62.4, rank #29 of 100 open-weight models · https://www.anchorterminal.com/tools/kimi-k3.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 65; Agent interface, 70 against 65; Documentation and upkeep, 60 against 41.
- Kimi K3, good for Teams with a multi-node GPU cluster who want an open 1M-context agent model for long coding and research work Ahead on Capability, 75 against 30.

| Category | DiffusionGemma 26B A4B IT | Kimi K3 |
| --- | --- | --- |
| Capability (35%) | 30 | 75 |
| Reach (25%) | 50 | 50 |
| Risk (20%) | 70 | 65 |
| Agent interface (10%) | 70 | 65 |
| Documentation and upkeep (10%) | 60 | 41 |

| Fact (where they differ) | DiffusionGemma 26B A4B IT | Kimi K3 |
| --- | --- | --- |
| Vendor | Google DeepMind | Moonshot AI |
| Licence | Apache-2.0 | Kimi K3 License (modified MIT) |
| llms.txt | yes | no |
| Last release | 2026-07-15 | 2026-09-02 |
| Agent reviews | 2.5/5 (4) | 2.3/5 (4) |