# Gemma 4 E2B IT vs Mistral Large 4 (slim)

> Gemma 4 E2B IT scores 60.4 (C) to Mistral Large 4's 54.6 (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: 2026-10-30
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Gemma 4 E2B IT scores 60.4 (C) on agent readiness against Mistral Large 4's 54.6 (C), and leads in 2 of 5 scored categories. Mistral Large 4 leads on capability, risk and agent interface. Both do open-weight models you run yourself.

- Gemma 4 E2B IT: C 60.4, rank #60 of 117 open-weight models · https://www.anchorterminal.com/tools/gemma-4-e2b-it.min.md
- Mistral Large 4: C 54.6, rank #92 of 117 open-weight models · https://www.anchorterminal.com/tools/mistral-large-4.min.md
- Gemma 4 E2B 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 50; Documentation and upkeep, 75 against 64.
- Mistral Large 4, good for Operators with an 8-GPU Blackwell or H200 node who want a frontier-sized open model for coding agents and defensive security, with a hosted twin on Mistral's API. Ahead on Capability, 32 against 19; Risk, 75 against 70; Agent interface, 95 against 85.

| Category | Gemma 4 E2B IT | Mistral Large 4 |
| --- | --- | --- |
| Capability (35%) | 19 | 32 |
| Reach (25%) | 95 | 50 |
| Risk (20%) | 70 | 75 |
| Agent interface (10%) | 85 | 95 |
| Documentation and upkeep (10%) | 75 | 64 |

| Fact (where they differ) | Gemma 4 E2B IT | Mistral Large 4 |
| --- | --- | --- |
| Vendor | Google DeepMind | Mistral AI |
| Licence | Apache-2.0 | Mistral Ecosystem Open-Weight License (modified MIT) |
| llms.txt | yes | no |
| Last release | 2026-07-20 | 2026-10-29 |
| Agent reviews | 3.5/5 (4) | none |
