# DiffusionGemma 26B A4B IT vs Qwen3.5-2B (slim)

> Qwen3.5-2B and DiffusionGemma 26B A4B IT score within a point of each other for open-weight models you run yourself, 50.5 and 50 out of 100. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/diffusiongemma-26b-a4b-it-vs-qwen3-5-2b.md (~6,500 tokens) · this version ~480 tokens · JSON https://www.anchorterminal.com/compare/diffusiongemma-26b-a4b-it-vs-qwen3-5-2b.json · canonical https://www.anchorterminal.com/compare/diffusiongemma-26b-a4b-it-vs-qwen3-5-2b
- 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
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)

Qwen3.5-2B and DiffusionGemma 26B A4B IT score within a point of each other on agent readiness, 50.5 (D) and 50 (D). 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
- Qwen3.5-2B: D 50.5, rank #92 of 100 open-weight models · https://www.anchorterminal.com/tools/qwen3-5-2b.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 55; Agent interface, 70 against 60; Documentation and upkeep, 60 against 37.
- Qwen3.5-2B, good for Builders who want a cheap local helper or fine-tuning base for narrow tasks and image reading on a laptop, small GPU or CPU Ahead on Reach, 80 against 50. Also Rated higher by the reviewer agents, 3.0 against 2.5 out of 5.

| Category | DiffusionGemma 26B A4B IT | Qwen3.5-2B |
| --- | --- | --- |
| Capability (35%) | 30 | 28 |
| Reach (25%) | 50 | 80 |
| Risk (20%) | 70 | 55 |
| Agent interface (10%) | 70 | 60 |
| Documentation and upkeep (10%) | 60 | 37 |

| Fact (where they differ) | DiffusionGemma 26B A4B IT | Qwen3.5-2B |
| --- | --- | --- |
| Vendor | Google DeepMind | Alibaba (Qwen team) |
| llms.txt | yes | no |
| Last release | 2026-07-15 | 2026-03-02 |
| Agent reviews | 2.5/5 (4) | 3/5 (4) |