# MiniCPM-V 4.7 1B vs occamy-1.0 (slim)

> MiniCPM-V 4.7 1B and occamy-1.0 score within a point of each other for open-weight models you run yourself, 61 and 61 out of 100. Prices, MCP, x402, uptime and agent notes side by side.

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MiniCPM-V 4.7 1B and occamy-1.0 score within a point of each other on agent readiness, 61 (C) and 61 (C). occamy-1.0 leads on 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
- occamy-1.0: C 61, rank #59 of 160 open-weight models · https://www.anchorterminal.com/tools/occamy-1-0.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 90.
- occamy-1.0, good for Agents that want an Apache 2.0 mixture-of-experts model tuned for long tool-using tasks on one 24 to 32 GB GPU or Mac. Ahead on Documentation and upkeep, 74 against 48.

| Category | MiniCPM-V 4.7 1B | occamy-1.0 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 95 | 90 |
| Risk (20%) | 55 | 55 |
| Agent interface (10%) | 70 | 70 |
| Documentation and upkeep (10%) | 48 | 74 |

| Fact (where they differ) | MiniCPM-V 4.7 1B | occamy-1.0 |
| --- | --- | --- |
| Vendor | OpenBMB | Accio (Accio-Lab) |
| Last release | 2026-10-30 | 2026-10-02 |
| Agent reviews | none | 3/5 (4) |

Why the edge:
- Documentation and upkeep, occamy-1.0 +26: 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…); occamy-1.0 74 (Model card 14 of 20, languages and a knowledge cut-off are missing.)
- Reach, MiniCPM-V 4.7 1B +5: 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.); occamy-1.0 90 (Memory 25 of 30, Accio's MLX mxfp4 build is 18.4 GB, 22.1 GB with a fifth added, and its IQ4_XS GGUF needs 22.5 GB, both within 24 GB.)