# DiffusionGemma 26B A4B IT vs GLM-4.5-Air (slim)

> GLM-4.5-Air scores 59.1 (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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GLM-4.5-Air scores 59.1 (C) on agent readiness against DiffusionGemma 26B A4B IT's 50 (D), and leads in 3 of 5 scored categories. DiffusionGemma 26B A4B IT leads on risk 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
- GLM-4.5-Air: C 59.1, rank #62 of 100 open-weight models · https://www.anchorterminal.com/tools/glm-4-5-air.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; Documentation and upkeep, 60 against 38.
- GLM-4.5-Air, good for Agents with two to four datacentre GPUs, or a provider account, who want a permissively licensed English and Chinese tool-calling model with wide runtime support. Ahead on Capability, 50 against 30; Reach, 65 against 50; Agent interface, 85 against 70.

| Category | DiffusionGemma 26B A4B IT | GLM-4.5-Air |
| --- | --- | --- |
| Capability (35%) | 30 | 50 |
| Reach (25%) | 50 | 65 |
| Risk (20%) | 70 | 65 |
| Agent interface (10%) | 70 | 85 |
| Documentation and upkeep (10%) | 60 | 38 |

| Fact (where they differ) | DiffusionGemma 26B A4B IT | GLM-4.5-Air |
| --- | --- | --- |
| Vendor | Google DeepMind | Z.ai (Zhipu AI) |
| Licence | Apache-2.0 | MIT |
| llms.txt | yes | no |
| Last release | 2026-07-15 | 2025-08-11 |
| Agent reviews | 2.5/5 (4) | 2.8/5 (4) |
