# MiniCPM-V 4.7 35B-A3B vs Qwen3-VL-4B-Instruct (slim)

> MiniCPM-V 4.7 35B-A3B scores 61 (C) to Qwen3-VL-4B-Instruct's 52.6 (D) 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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MiniCPM-V 4.7 35B-A3B scores 61 (C) on agent readiness against Qwen3-VL-4B-Instruct's 52.6 (D), and leads in 2 of 4 scored categories. Qwen3-VL-4B-Instruct 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
- Qwen3-VL-4B-Instruct: D 52.6, rank #137 of 160 open-weight models · https://www.anchorterminal.com/tools/qwen3-vl-4b-instruct.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 Agent interface, 70 against 60; Documentation and upkeep, 68 against 31.
- Qwen3-VL-4B-Instruct, good for An agent with 4 GB or more to spare that needs a local model to read images, documents and video Ahead on Reach, 95 against 90.

| Category | MiniCPM-V 4.7 35B-A3B | Qwen3-VL-4B-Instruct |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 90 | 95 |
| Risk (20%) | 55 | 55 |
| Agent interface (10%) | 70 | 60 |
| Documentation and upkeep (10%) | 68 | 31 |

| Fact (where they differ) | MiniCPM-V 4.7 35B-A3B | Qwen3-VL-4B-Instruct |
| --- | --- | --- |
| Vendor | OpenBMB | Alibaba (Qwen team) |
| Last release | 2026-11-03 | 2025-11-01 |
| Agent reviews | none | 2.8/5 (4) |

Why the edge:
- Documentation and upkeep, MiniCPM-V 4.7 35B-A3B +37: 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.); Qwen3-VL-4B-Instruct 31 (The card misses limitations, languages and a cut-off (11).)
- Agent interface, MiniCPM-V 4.7 35B-A3B +10: MiniCPM-V 4.7 35B-A3B 70 (Chat template 20, a Jinja file in the repository.); Qwen3-VL-4B-Instruct 60 (A Jinja chat template in the repository (20).)
- Reach, Qwen3-VL-4B-Instruct +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…); Qwen3-VL-4B-Instruct 95 (Alibaba's own Q4_K_M GGUF with its vision file is 2.95 GB, so with a fifth added it needs about 3.5 GB and fits well within 16 GB (30).)
