# gpt-oss-120b vs MiniCPM-V 4.7 35B-A3B (slim)

> gpt-oss-120b scores 70.2 (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.

- Full: https://www.anchorterminal.com/compare/gpt-oss-120b-vs-minicpm-v-4-7-35b-a3b.md (~9,600 tokens) · this version ~780 tokens · JSON https://www.anchorterminal.com/compare/gpt-oss-120b-vs-minicpm-v-4-7-35b-a3b.json · canonical https://www.anchorterminal.com/compare/gpt-oss-120b-vs-minicpm-v-4-7-35b-a3b
- 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
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)

gpt-oss-120b scores 70.2 (BB) on agent readiness against MiniCPM-V 4.7 35B-A3B's 61 (C), and leads in 2 of 4 scored categories. MiniCPM-V 4.7 35B-A3B leads on reach and documentation and upkeep. Both do open-weight models you run yourself.

- gpt-oss-120b: BB 70.2, rank #6 of 160 open-weight models · https://www.anchorterminal.com/tools/gpt-oss-120b.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
- gpt-oss-120b, good for Agents on one 80 GB GPU or a 128 GB unified machine that want an Apache 2.0 reasoning model with wide runtime support Ahead on Risk, 95 against 55; Agent interface, 90 against 70. 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 Ahead on Reach, 90 against 75; Documentation and upkeep, 68 against 45.

| Category | gpt-oss-120b | MiniCPM-V 4.7 35B-A3B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 75 | 90 |
| Risk (20%) | 95 | 55 |
| Agent interface (10%) | 90 | 70 |
| Documentation and upkeep (10%) | 45 | 68 |

| Fact (where they differ) | gpt-oss-120b | MiniCPM-V 4.7 35B-A3B |
| --- | --- | --- |
| Vendor | OpenAI | OpenBMB |
| Last release | 2025-08-26 | 2026-11-03 |
| Agent reviews | 3.5/5 (4) | none |

Why the edge:
- Risk, gpt-oss-120b +40: gpt-oss-120b 95 (File safety earns 25, safetensors only, with metal/model.bin a raw format and not pickle, and nothing from the repository runs 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.)
- Documentation and upkeep, MiniCPM-V 4.7 35B-A3B +23: gpt-oss-120b 45 (The model card earns 20, with all seven items in OpenAI's arXiv card.); 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.)
- Agent interface, gpt-oss-120b +20: gpt-oss-120b 90 (The chat template earns 20, a Jinja file in the repository.); MiniCPM-V 4.7 35B-A3B 70 (Chat template 20, a Jinja file in the repository.)
- Reach, MiniCPM-V 4.7 35B-A3B +15: gpt-oss-120b 75 (Memory earns 10, because the smallest 4-bit build, Ollama's 65 GB gpt-oss:120b, needs about 78 GB with the fifth added, which fits the reference machine but not…); 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…)