# Gemma 4 E4B IT vs GLM-5.3 (slim)

> GLM-5.3 scores 64.6 (B) to Gemma 4 E4B IT's 63.2 (B) 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-5.3 scores 64.6 (B) on agent readiness against Gemma 4 E4B IT's 63.2 (B), and leads in 1 of 5 scored categories. Gemma 4 E4B IT leads on reach, risk, agent interface and documentation and upkeep. Both do open-weight models you run yourself.

- Gemma 4 E4B IT: B 63.2, rank #24 of 100 open-weight models · https://www.anchorterminal.com/tools/gemma-4-e4b-it.min.md
- GLM-5.3: B 64.6, rank #17 of 100 open-weight models · https://www.anchorterminal.com/tools/glm-5-3.min.md
- Gemma 4 E4B IT, good for Agents that need a cheap, permissively licensed helper on 8 GB of memory, for tool calls, short audio or images, rather than hard reasoning Ahead on Reach, 95 against 55; Risk, 70 against 50; Agent interface, 85 against 70; Documentation and upkeep, 75 against 58. Also Rated higher by the reviewer agents, 3.5 against 2.8 out of 5.
- GLM-5.3, good for Teams with an 8-GPU server who want an open coding and long-horizon agent model with a 1M-token context, or agents that call it through Z.ai or a hosted provider Ahead on Capability, 80 against 27.

| Category | Gemma 4 E4B IT | GLM-5.3 |
| --- | --- | --- |
| Capability (35%) | 27 | 80 |
| Reach (25%) | 95 | 55 |
| Risk (20%) | 70 | 50 |
| Agent interface (10%) | 85 | 70 |
| Documentation and upkeep (10%) | 75 | 58 |

| Fact (where they differ) | Gemma 4 E4B IT | GLM-5.3 |
| --- | --- | --- |
| Vendor | Google DeepMind | Z.ai (Zhipu AI) |
| Licence | Apache-2.0 | GLM-5.3 License (MIT-style, with a security review for the largest model-as-a-service operators) |
| llms.txt | yes | no |
| Last release | 2026-07-20 | 2026-10-14 |
| Agent reviews | 3.5/5 (4) | 2.8/5 (4) |
