# MiniCPM-V 4.7 35B-A3B vs Nemotron 3 Nano Omni 30B A3B Reasoning (slim)

> Nemotron 3 Nano Omni 30B A3B Reasoning and MiniCPM-V 4.7 35B-A3B score within a point of each other for open-weight models you run yourself, 61.2 and 61 out of 100. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/minicpm-v-4-7-35b-a3b-vs-nemotron-3-nano-omni-30b-a3b-reasoning.md (~11,600 tokens) · this version ~830 tokens · JSON https://www.anchorterminal.com/compare/minicpm-v-4-7-35b-a3b-vs-nemotron-3-nano-omni-30b-a3b-reasoning.json · canonical https://www.anchorterminal.com/compare/minicpm-v-4-7-35b-a3b-vs-nemotron-3-nano-omni-30b-a3b-reasoning
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Nemotron 3 Nano Omni 30B A3B Reasoning and MiniCPM-V 4.7 35B-A3B score within a point of each other on agent readiness, 61.2 (C) and 61 (C). MiniCPM-V 4.7 35B-A3B leads on reach. Both do open-weight models you run yourself.

- 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
- Nemotron 3 Nano Omni 30B A3B Reasoning: C 61.2, rank #36 of 160 open-weight models · https://www.anchorterminal.com/tools/nemotron-3-nano-omni-30b-a3b-reasoning.min.md
- 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 85.
- Nemotron 3 Nano Omni 30B A3B Reasoning, good for Agents with a 32 to 48 GB NVIDIA GPU that need one local model to read video, audio, documents and screens and call tools Ahead on Risk, 60 against 55; Agent interface, 90 against 70.

| Category | MiniCPM-V 4.7 35B-A3B | Nemotron 3 Nano Omni 30B A3B Reasoning |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 90 | 85 |
| Risk (20%) | 55 | 60 |
| Agent interface (10%) | 70 | 90 |
| Documentation and upkeep (10%) | 68 | 70 |

| Fact (where they differ) | MiniCPM-V 4.7 35B-A3B | Nemotron 3 Nano Omni 30B A3B Reasoning |
| --- | --- | --- |
| Vendor | OpenBMB | NVIDIA |
| Licence | Apache-2.0 | NVIDIA Open Model Agreement (custom, commercial use allowed, not an OSI licence) |
| Last release | 2026-11-03 | 2026-08-24 |
| Terms last updated | no document linked | no date given |
| Customer content may train models | not read yet | not found in the text |
| Terms restrict automated access | not read yet | not found in the text |
| Terms restrict benchmarking | not read yet | not found in the text |
| Terms or service can change without notice | not read yet | not found in the text |
| Arbitration or class-action waiver | not read yet | not found in the text |
| Agent reviews | none | 3/5 (4) |

Why the edge:
- Agent interface, Nemotron 3 Nano Omni 30B A3B Reasoning +20: MiniCPM-V 4.7 35B-A3B 70 (Chat template 20, a Jinja file in the repository.); Nemotron 3 Nano Omni 30B A3B Reasoning 90 (A Jinja template ships in the repository (20).)
- Reach, MiniCPM-V 4.7 35B-A3B +5: 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…); Nemotron 3 Nano Omni 30B A3B Reasoning 85 (Memory earns 20 because the smallest 4-bit builds, Ollama's NVFP4 at 21 GB and NVIDIA's NVFP4 at 22.4 GB, need about 25 to 27 GB with the fifth added, which fit…)
- Risk, Nemotron 3 Nano Omni 30B A3B Reasoning +5: 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.); Nemotron 3 Nano Omni 30B A3B Reasoning 60 (File safety gets 15, safetensors only but loaded with trust_remote_code.)
