# Gemma 4 12B IT vs MiniCPM-V 4.7 35B-A3B (slim)

> Gemma 4 12B IT scores 72.3 (BB) to MiniCPM-V 4.7 35B-A3B's 61 (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: 2026-11-10
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Gemma 4 12B IT scores 72.3 (BB) on agent readiness against MiniCPM-V 4.7 35B-A3B's 61 (C), and leads in every scored category. Both do open-weight models you run yourself.

- Gemma 4 12B IT: BB 72.3, rank #4 of 160 open-weight models · https://www.anchorterminal.com/tools/gemma-4-12b-it.min.md
- MiniCPM-V 4.7 35B-A3B: C 61, rank #77 of 160 open-weight models · https://www.anchorterminal.com/tools/minicpm-v-4-7-35b-a3b.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 90; Risk, 70 against 55; Agent interface, 85 against 70; Documentation and upkeep, 85 against 68. Also Agent-ready, a grade of BB or better.
- MiniCPM-V 4.7 35B-A3B, good for Agents that need to read screenshots, documents and video on a local machine with 24 to 32 GB for the model, under a permissive licence

| Category | Gemma 4 12B IT | MiniCPM-V 4.7 35B-A3B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 95 | 90 |
| Risk (20%) | 70 | 55 |
| Agent interface (10%) | 85 | 70 |
| Documentation and upkeep (10%) | 85 | 68 |

| Fact (where they differ) | Gemma 4 12B IT | MiniCPM-V 4.7 35B-A3B |
| --- | --- | --- |
| Vendor | Google DeepMind | OpenBMB |
| llms.txt | yes | no |
| Last release | 2026-07-20 | 2026-11-03 |
| Agent reviews | 3.8/5 (4) | none |

Why the edge:
- Documentation and upkeep, Gemma 4 12B IT +17: Gemma 4 12B IT 85 (Model card 20, all seven items are there.); MiniCPM-V 4.7 35B-A3B 68 (Model card 8, it covers intended use, architecture and parameters but not limitations, context length, languages or a knowledge cut-off.)
- Risk, Gemma 4 12B IT +15: Gemma 4 12B IT 70 (File safety 25, safetensors and GGUF only, with nothing from the repository run on load.); MiniCPM-V 4.7 35B-A3B 55 (File safety 25, safetensors and GGUF only, no Python in the main repository and no remote code needed.)
- Agent interface, Gemma 4 12B IT +15: Gemma 4 12B IT 85 (Chat template 20, a Jinja file in the repository.); MiniCPM-V 4.7 35B-A3B 70 (Chat template 20, a Jinja file in the repository.)
- Reach, Gemma 4 12B IT +5: Gemma 4 12B IT 95 (Memory 30, Google's own 4-bit QAT GGUF with its projector is 7.15 GB, which with a fifth on top is 8.6 GB and fits in 16 GB or less.); MiniCPM-V 4.7 35B-A3B 90 (Memory 25, since OpenBMB's IQ4_XS GGUF with its vision projector is 19.6 GB and needs about 23.6 GB with the fifth added, which fits 24 GB, while its Q4_K_M GGU…)