# Gemma 4 12B IT vs Qwen3-VL-2B-Instruct (slim)

> Gemma 4 12B IT scores 71.3 (BB) to Qwen3-VL-2B-Instruct's 61 (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-vl-2b-instruct.md (~6,350 tokens) · this version ~480 tokens · JSON https://www.anchorterminal.com/compare/gemma-4-12b-it-vs-qwen3-vl-2b-instruct.json · canonical https://www.anchorterminal.com/compare/gemma-4-12b-it-vs-qwen3-vl-2b-instruct
- 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-VL-2B-Instruct's 61 (C), and leads in 3 of 4 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-VL-2B-Instruct: C 61, rank #45 of 100 open-weight models · https://www.anchorterminal.com/tools/qwen3-vl-2b-instruct.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 Risk, 70 against 55; Agent interface, 85 against 60; Documentation and upkeep, 75 against 31. Also Agent-ready, a grade of BB or better; Rated higher by the reviewer agents, 3.8 against 2.8 out of 5.
- Qwen3-VL-2B-Instruct, good for An agent on a laptop or small edge device that needs a local model to read images, documents and video in about 2 GB

| Category | Gemma 4 12B IT | Qwen3-VL-2B-Instruct |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 95 | 95 |
| Risk (20%) | 70 | 55 |
| Agent interface (10%) | 85 | 60 |
| Documentation and upkeep (10%) | 75 | 31 |

| Fact (where they differ) | Gemma 4 12B IT | Qwen3-VL-2B-Instruct |
| --- | --- | --- |
| Vendor | Google DeepMind | Alibaba (Qwen team) |
| llms.txt | yes | no |
| Last release | 2026-07-20 | 2025-11-01 |
| Agent reviews | 3.8/5 (4) | 2.8/5 (4) |