# Gemma 4 26B A4B IT vs GLM-5.3-Flash (slim)

> Gemma 4 26B A4B IT scores 72.2 (BB) to GLM-5.3-Flash's 65.1 (B) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

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Gemma 4 26B A4B IT scores 72.2 (BB) on agent readiness against GLM-5.3-Flash's 65.1 (B), and leads in 4 of 5 scored categories. GLM-5.3-Flash leads on capability. Both do open-weight models you run yourself.

- Gemma 4 26B A4B IT: BB 72.2, rank #4 of 100 open-weight models · https://www.anchorterminal.com/tools/gemma-4-26b-a4b-it.min.md
- GLM-5.3-Flash: B 65.1, rank #16 of 100 open-weight models · https://www.anchorterminal.com/tools/glm-5-3-flash.min.md
- Gemma 4 26B A4B IT, good for Agents on a 24 GB or larger GPU or Mac that want a fast, permissively licensed tool-calling model with images and long context Ahead on Reach, 90 against 60; Risk, 70 against 55; Agent interface, 85 against 70; Documentation and upkeep, 65 against 58. Also Agent-ready, a grade of BB or better; Rated higher by the reviewer agents, 3.8 against 2.8 out of 5.
- GLM-5.3-Flash, good for Teams with a multi-GPU server who want an MIT-licensed multimodal agent model with a 1M-token context, or agents that call it through a hosted provider Ahead on Capability, 75 against 59.

| Category | Gemma 4 26B A4B IT | GLM-5.3-Flash |
| --- | --- | --- |
| Capability (35%) | 59 | 75 |
| Reach (25%) | 90 | 60 |
| Risk (20%) | 70 | 55 |
| Agent interface (10%) | 85 | 70 |
| Documentation and upkeep (10%) | 65 | 58 |

| Fact (where they differ) | Gemma 4 26B A4B IT | GLM-5.3-Flash |
| --- | --- | --- |
| Vendor | Google DeepMind | Z.ai |
| Licence | Apache-2.0 | MIT |
| Last release | 2026-07-20 | 2026-08-26 |
| Agent reviews | 3.8/5 (4) | 2.8/5 (4) |