# MiniCPM-V 4.7 35B-A3B vs Qwen3-Coder-Next (slim)

> MiniCPM-V 4.7 35B-A3B scores 61 (C) to Qwen3-Coder-Next's 57.6 (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 Qwen3-Coder-Next's 57.6 (C), and leads in 3 of 4 scored categories. Qwen3-Coder-Next leads on agent interface. 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-Coder-Next: C 57.6, rank #107 of 160 open-weight models · https://www.anchorterminal.com/tools/qwen3-coder-next.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; Risk, 55 against 50; Documentation and upkeep, 68 against 41.
- Qwen3-Coder-Next, good for Agents that want a local coding model for long tool-calling loops on a single 64 GB to 128 GB machine. Ahead on Agent interface, 75 against 70.

| Category | MiniCPM-V 4.7 35B-A3B | Qwen3-Coder-Next |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 90 | 85 |
| Risk (20%) | 55 | 50 |
| Agent interface (10%) | 70 | 75 |
| Documentation and upkeep (10%) | 68 | 41 |

| Fact (where they differ) | MiniCPM-V 4.7 35B-A3B | Qwen3-Coder-Next |
| --- | --- | --- |
| Vendor | OpenBMB | Alibaba (Qwen team) |
| Last release | 2026-11-03 | 2026-02-03 |
| Agent reviews | none | 2.8/5 (4) |

Why the edge:
- Documentation and upkeep, MiniCPM-V 4.7 35B-A3B +27: 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-Coder-Next 41 (The card covers four of the seven items and misses limitations, languages and a cut-off (11).)
- 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…); Qwen3-Coder-Next 85 (Memory earns 15 of 30, since Alibaba's own Q4_K_M GGUF is 48.4 GB, about 58 GB with a fifth added, inside the 64 GB band, and LM Studio's MLX and Ollama's build…)
- Risk, MiniCPM-V 4.7 35B-A3B +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.); Qwen3-Coder-Next 50 (Safetensors and GGUF only, with the two shipped parsers outside the documented loading path, gives file safety 25, and files in the Qwen organisation the publis…)
- Agent interface, Qwen3-Coder-Next +5: MiniCPM-V 4.7 35B-A3B 70 (Chat template 20, a Jinja file in the repository.); Qwen3-Coder-Next 75 (The template ships in the repository (20).)