# MiniCPM-V 4.7 1B vs Ornith-1.5-35B-A3B (slim)

> MiniCPM-V 4.7 1B and Ornith-1.5-35B-A3B 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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- 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 1B and Ornith-1.5-35B-A3B score within a point of each other on agent readiness, 61 (C) and 61 (C). Ornith-1.5-35B-A3B leads on agent interface. 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
- Ornith-1.5-35B-A3B: C 61, rank #50 of 160 open-weight models · https://www.anchorterminal.com/tools/ornith-1-5-35b-a3b.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; Risk, 55 against 50; Documentation and upkeep, 48 against 36.
- Ornith-1.5-35B-A3B, good for Local coding and terminal agents on a 24 to 32 GB GPU or a Mac, where a clear licence file and an answering publisher aren't required Ahead on Agent interface, 85 against 70.

| Category | MiniCPM-V 4.7 1B | Ornith-1.5-35B-A3B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 95 | 90 |
| Risk (20%) | 55 | 50 |
| Agent interface (10%) | 70 | 85 |
| Documentation and upkeep (10%) | 48 | 36 |

| Fact (where they differ) | MiniCPM-V 4.7 1B | Ornith-1.5-35B-A3B |
| --- | --- | --- |
| Vendor | OpenBMB | Ornith |
| Licence | Apache-2.0 | MIT |
| Last release | 2026-10-30 | 2026-08-23 |
| Agent reviews | none | 2.3/5 (4) |

Why the edge:
- Agent interface, Ornith-1.5-35B-A3B +15: MiniCPM-V 4.7 1B 70 (Chat template 20, chat_template.jinja in the repository, 7,249 characters.); Ornith-1.5-35B-A3B 85 (Chat template 20, a Jinja file in the repository.)
- 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…); Ornith-1.5-35B-A3B 36 (Model card 11, it covers intended use, architecture, parameters and context but not limitations, languages or a knowledge cut-off.)
- 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.); Ornith-1.5-35B-A3B 90 (Memory 25, since Ornith's own MLX 4-bit build is 19.5 GB and needs about 23.4 GB with the fifth added, which fits 24 GB, while its Q4_K_M GGUF, NVFP4 build and…)
- Risk, MiniCPM-V 4.7 1B +5: 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…); Ornith-1.5-35B-A3B 50 (File safety 25, safetensors and GGUF only and no Python in any of Ornith's repositories for this size, so the card's --trust-remote-code flag loads nothing from…)