# MiniCPM-V 4.7 1B vs Qwen3.8-Flash-Next (slim)

> Qwen3.8-Flash-Next and MiniCPM-V 4.7 1B score within a point of each other for open-weight models you run yourself, 61.8 and 61 out of 100. Prices, MCP, x402, uptime and agent notes side by side.

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Qwen3.8-Flash-Next and MiniCPM-V 4.7 1B score within a point of each other on agent readiness, 61.8 (C) and 61 (C). MiniCPM-V 4.7 1B leads on reach, risk and documentation and upkeep. Both do open-weight models you run yourself.

- MiniCPM-V 4.7 1B: C 61, rank #76 of 160 open-weight models · https://www.anchorterminal.com/tools/minicpm-v-4-7-1b.min.md
- Qwen3.8-Flash-Next: C 61.8, rank #34 of 160 open-weight models · https://www.anchorterminal.com/tools/qwen3-8-flash-next.min.md
- MiniCPM-V 4.7 1B, good for Agents that need a cheap local model to read screenshots, photos and short video on a phone, a laptop or beside a bigger model Ahead on Reach, 95 against 65; Risk, 55 against 45; Documentation and upkeep, 48 against 36.
- Qwen3.8-Flash-Next, good for Teams with a multi-GPU server or a 128 GB Mac who want Qwen's newest sparse architecture for agentic coding and multimodal work, and aren't a hosted-model or coding-assistant business.

| Category | MiniCPM-V 4.7 1B | Qwen3.8-Flash-Next |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 95 | 65 |
| Risk (20%) | 55 | 45 |
| Agent interface (10%) | 70 | 70 |
| Documentation and upkeep (10%) | 48 | 36 |

| Fact (where they differ) | MiniCPM-V 4.7 1B | Qwen3.8-Flash-Next |
| --- | --- | --- |
| Vendor | OpenBMB | Alibaba (Qwen team) |
| Licence | Apache-2.0 | Qwen Community License 1.0 (custom, not an OSI licence). Free of charge, the model name shown in products above 100M monthly users or US$20M monthly revenue, and a separate licence from Qwen before commercial use by a Model as a Service or AI Work Assistant business |
| Last release | 2026-10-30 | 2026-08-31 |
| Agent reviews | none | 2/5 (4) |

Why the edge:
- Reach, MiniCPM-V 4.7 1B +30: MiniCPM-V 4.7 1B 95 (Memory 30, OpenBMB's own IQ4_XS GGUF is 0.64 GB, 1.54 GB with the 0.90 GB vision projector, and 1.54 GB × 1.2 = 1.9 GB, which fits 16 GB with room to spare.); Qwen3.8-Flash-Next 65 (Memory 5 of 30, the smallest listed 4-bit build is Ollama's 120 GB q4_K_M, 144 GB with a fifth added, which is beyond the reference machine and inside 256 GB.)
- Documentation and upkeep, MiniCPM-V 4.7 1B +12: MiniCPM-V 4.7 1B 48 (Model card 8, Intended use (image, multi-image and video understanding on device), architecture (early visual-token compression inside the vision encoder) and p…); Qwen3.8-Flash-Next 36 (Model card 11 of 20, intended use, architecture, parameters and context are there, but limitations, languages and a knowledge cut-off aren't.)
- Risk, MiniCPM-V 4.7 1B +10: MiniCPM-V 4.7 1B 55 (File safety 25, safetensors in the main repository and the AWQ, GPTQ and int4 builds, GGUF in the GGUF build, with no .bin, .pt, .pth or .py files in the main r…); Qwen3.8-Flash-Next 45 (File safety 25, safetensors only and nothing from the repository runs to load it or build prompts.)