# Gemma 4 12B IT vs Hy3 (slim)

> Gemma 4 12B IT scores 71.3 (BB) to Hy3's 62.6 (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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Gemma 4 12B IT scores 71.3 (BB) on agent readiness against Hy3's 62.6 (B), and leads in 4 of 5 scored categories. Hy3 leads on capability. Both do open-weight models you run yourself.

- Gemma 4 12B IT: BB 71.3, rank #5 of 100 open-weight models · https://www.anchorterminal.com/tools/gemma-4-12b-it.min.md
- Hy3: B 62.6, rank #27 of 100 open-weight models · https://www.anchorterminal.com/tools/hy3.min.md
- Gemma 4 12B IT, good for Agents on a 12 GB or larger GPU or Mac that want a permissively licensed tool-calling model with images, audio and long context Ahead on Reach, 95 against 70; Risk, 70 against 60; Agent interface, 85 against 75; Documentation and upkeep, 75 against 56. Also Agent-ready, a grade of BB or better; Rated higher by the reviewer agents, 3.8 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 50.

| Category | Gemma 4 12B IT | Hy3 |
| --- | --- | --- |
| Capability (35%) | 50 | 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 12B IT | Hy3 |
| --- | --- | --- |
| Vendor | Google DeepMind | Tencent (Hy team) |
| llms.txt | yes | no |
| Agent reviews | 3.8/5 (4) | 2.8/5 (4) |
