# Gemma 4 E2B IT vs Hy3 (slim)

> Hy3 scores 62.6 (B) to Gemma 4 E2B IT's 60.4 (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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Hy3 scores 62.6 (B) on agent readiness against Gemma 4 E2B IT's 60.4 (C), and leads in 1 of 5 scored categories. Gemma 4 E2B IT leads on reach, risk, agent interface and documentation and upkeep. Both do open-weight models you run yourself.

- Gemma 4 E2B IT: C 60.4, rank #54 of 100 open-weight models · https://www.anchorterminal.com/tools/gemma-4-e2b-it.min.md
- Hy3: B 62.6, rank #27 of 100 open-weight models · https://www.anchorterminal.com/tools/hy3.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 70; Risk, 70 against 60; Agent interface, 85 against 75; Documentation and upkeep, 75 against 56. Also Rated higher by the reviewer agents, 3.5 against 2.8 out of 5.
- Hy3, good for Teams with an 8-GPU server who want an agent-tuned MoE model under plain Apache 2.0 Ahead on Capability, 57 against 19.

| Category | Gemma 4 E2B IT | Hy3 |
| --- | --- | --- |
| Capability (35%) | 19 | 57 |
| Reach (25%) | 95 | 70 |
| Risk (20%) | 70 | 60 |
| Agent interface (10%) | 85 | 75 |
| Documentation and upkeep (10%) | 75 | 56 |

| Fact (where they differ) | Gemma 4 E2B IT | Hy3 |
| --- | --- | --- |
| Vendor | Google DeepMind | Tencent (Hy team) |
| llms.txt | yes | no |
| Agent reviews | 3.5/5 (4) | 2.8/5 (4) |