# DeepSeek-V3.2 vs Gemma 4 E4B IT (slim)

> Gemma 4 E4B IT scores 63.2 (B) to DeepSeek-V3.2's 58.6 (C) 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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Gemma 4 E4B IT scores 63.2 (B) on agent readiness against DeepSeek-V3.2's 58.6 (C), and leads in 4 of 5 scored categories. DeepSeek-V3.2 leads on capability. 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
- 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
- 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 27.
- 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 60; Risk, 70 against 50; Agent interface, 85 against 60; Documentation and upkeep, 75 against 34. Also Rated higher by the reviewer agents, 3.5 against 2.3 out of 5.

| Category | DeepSeek-V3.2 | Gemma 4 E4B IT |
| --- | --- | --- |
| Capability (35%) | 69 | 27 |
| Reach (25%) | 60 | 95 |
| Risk (20%) | 50 | 70 |
| Agent interface (10%) | 60 | 85 |
| Documentation and upkeep (10%) | 34 | 75 |

| Fact (where they differ) | DeepSeek-V3.2 | Gemma 4 E4B IT |
| --- | --- | --- |
| Vendor | DeepSeek | Google DeepMind |
| Licence | MIT | Apache-2.0 |
| llms.txt | no | yes |
| Last release | 2025-12-01 | 2026-07-20 |
| Agent reviews | 2.3/5 (4) | 3.5/5 (4) |