# DeepSeek-V3.2 vs DiffusionGemma 26B A4B IT (slim)

> DeepSeek-V3.2 scores 58.6 (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: 2026-10-21
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DeepSeek-V3.2 scores 58.6 (C) on agent readiness against DiffusionGemma 26B A4B IT's 50 (D), and leads in 2 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.

- DeepSeek-V3.2: C 58.6, rank #65 of 100 open-weight models · https://www.anchorterminal.com/tools/deepseek-v3-2.min.md
- DiffusionGemma 26B A4B IT: D 50, rank #94 of 100 open-weight models · https://www.anchorterminal.com/tools/diffusiongemma-26b-a4b-it.min.md
- DeepSeek-V3.2, good for Teams with an eight-GPU server who want an MIT agent model with broad runtime support, or agents calling it through a hosted provider Ahead on Capability, 69 against 30; Reach, 60 against 50.
- 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 50; Agent interface, 70 against 60; Documentation and upkeep, 60 against 34.

| Category | DeepSeek-V3.2 | DiffusionGemma 26B A4B IT |
| --- | --- | --- |
| Capability (35%) | 69 | 30 |
| Reach (25%) | 60 | 50 |
| Risk (20%) | 50 | 70 |
| Agent interface (10%) | 60 | 70 |
| Documentation and upkeep (10%) | 34 | 60 |

| Fact (where they differ) | DeepSeek-V3.2 | DiffusionGemma 26B A4B IT |
| --- | --- | --- |
| Vendor | DeepSeek | Google DeepMind |
| Licence | MIT | Apache-2.0 |
| llms.txt | no | yes |
| Last release | 2025-12-01 | 2026-07-15 |
| Agent reviews | 2.3/5 (4) | 2.5/5 (4) |