# DeepSeek-V3.2 vs MiniCPM-V 4.7 35B-A3B (slim)

> MiniCPM-V 4.7 35B-A3B scores 61 (C) to DeepSeek-V3.2's 58.6 (C) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

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MiniCPM-V 4.7 35B-A3B scores 61 (C) on agent readiness against DeepSeek-V3.2's 58.6 (C), and leads in every scored category. Both do open-weight models you run yourself.

- DeepSeek-V3.2: C 58.6, rank #102 of 160 open-weight models · https://www.anchorterminal.com/tools/deepseek-v3-2.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
- DeepSeek-V3.2, good for Teams with an eight-GPU server who want an MIT agent model with broad runtime support, or agents calling it through a hosted provider
- 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 60; Risk, 55 against 50; Agent interface, 70 against 60; Documentation and upkeep, 68 against 34.

| Category | DeepSeek-V3.2 | MiniCPM-V 4.7 35B-A3B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 60 | 90 |
| Risk (20%) | 50 | 55 |
| Agent interface (10%) | 60 | 70 |
| Documentation and upkeep (10%) | 34 | 68 |

| Fact (where they differ) | DeepSeek-V3.2 | MiniCPM-V 4.7 35B-A3B |
| --- | --- | --- |
| Vendor | DeepSeek | OpenBMB |
| Licence | MIT | Apache-2.0 |
| Last release | 2025-12-01 | 2026-11-03 |
| Agent reviews | 2.3/5 (4) | none |

Why the edge:
- Documentation and upkeep, MiniCPM-V 4.7 35B-A3B +34: DeepSeek-V3.2 34 (The model card earns 14 when read with DeepSeek's own V3.2 model card PDF, which adds intended use and a parameter count, leaving languages and a knowledge cut-…); 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.)
- Reach, MiniCPM-V 4.7 35B-A3B +30: DeepSeek-V3.2 60 (Memory earns nothing, because the only build from DeepSeek or a runtime's library is the 689.5 GB FP8 release, which needs about 827 GB with the fifth added.); 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…)
- Agent interface, MiniCPM-V 4.7 35B-A3B +10: DeepSeek-V3.2 60 (The chat template earns 10, as the format exists only as Python code to run.); MiniCPM-V 4.7 35B-A3B 70 (Chat template 20, a Jinja file in the repository.)
- Risk, MiniCPM-V 4.7 35B-A3B +5: DeepSeek-V3.2 50 (File safety earns 15, safetensors only but 10 off because prompts are built by running DeepSeek's Python from the repository.); 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.)