# Gemma 4 12B IT vs Qwen3-4B-Instruct-2507 (slim)

> Gemma 4 12B IT scores 71.3 (BB) to Qwen3-4B-Instruct-2507's 55.7 (C) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/gemma-4-12b-it-vs-qwen3-4b-instruct-2507.md (~6,450 tokens) · this version ~480 tokens · JSON https://www.anchorterminal.com/compare/gemma-4-12b-it-vs-qwen3-4b-instruct-2507.json · canonical https://www.anchorterminal.com/compare/gemma-4-12b-it-vs-qwen3-4b-instruct-2507
- 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
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)

Gemma 4 12B IT scores 71.3 (BB) on agent readiness against Qwen3-4B-Instruct-2507's 55.7 (C), and leads in 4 of 5 scored categories. 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
- Qwen3-4B-Instruct-2507: C 55.7, rank #77 of 100 open-weight models · https://www.anchorterminal.com/tools/qwen3-4b-instruct-2507.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 Capability, 50 against 31; Risk, 70 against 55; Agent interface, 85 against 75; Documentation and upkeep, 75 against 26. Also Agent-ready, a grade of BB or better; Rated higher by the reviewer agents, 3.8 against 3.0 out of 5.
- Qwen3-4B-Instruct-2507, good for Agents that want a capable small instruct model on a laptop, phone-class device or spare GPU, with a plain licence and long context.

| Category | Gemma 4 12B IT | Qwen3-4B-Instruct-2507 |
| --- | --- | --- |
| Capability (35%) | 50 | 31 |
| Reach (25%) | 95 | 95 |
| Risk (20%) | 70 | 55 |
| Agent interface (10%) | 85 | 75 |
| Documentation and upkeep (10%) | 75 | 26 |

| Fact (where they differ) | Gemma 4 12B IT | Qwen3-4B-Instruct-2507 |
| --- | --- | --- |
| Vendor | Google DeepMind | Alibaba (Qwen team) |
| llms.txt | yes | no |
| Last release | 2026-07-20 | 2025-09-17 |
| Agent reviews | 3.8/5 (4) | 3/5 (4) |