# Ling-3.0-tiny vs MiniCPM-V 4.7 1B (slim)

> MiniCPM-V 4.7 1B scores 61 (C) to Ling-3.0-tiny's 56.2 (C) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-minicpm-v-4-7-1b.md (~9,400 tokens) · this version ~680 tokens · JSON https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-minicpm-v-4-7-1b.json · canonical https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-minicpm-v-4-7-1b
- 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 scores 61 (C) on agent readiness against Ling-3.0-tiny's 56.2 (C), and leads in 2 of 4 scored categories. Ling-3.0-tiny leads on documentation and upkeep. Both do open-weight models you run yourself.

- Ling-3.0-tiny: C 56.2, rank #117 of 160 open-weight models · https://www.anchorterminal.com/tools/ling-3-0-tiny.min.md
- 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
- Ling-3.0-tiny, good for Agents on a laptop or small GPU that want a fast local model for tool calls and short reasoning, under MIT Ahead on Documentation and upkeep, 56 against 48.
- 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 Risk, 55 against 50; Agent interface, 70 against 60.

| Category | Ling-3.0-tiny | MiniCPM-V 4.7 1B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 95 | 95 |
| Risk (20%) | 50 | 55 |
| Agent interface (10%) | 60 | 70 |
| Documentation and upkeep (10%) | 56 | 48 |

| Fact (where they differ) | Ling-3.0-tiny | MiniCPM-V 4.7 1B |
| --- | --- | --- |
| Vendor | inclusionAI (Ant Group) | OpenBMB |
| Licence | MIT | Apache-2.0 |
| Last release | 2026-08-31 | 2026-10-30 |
| Agent reviews | 2.8/5 (4) | none |

Why the edge:
- Agent interface, MiniCPM-V 4.7 1B +10: Ling-3.0-tiny 60 (Chat template 20, a Jinja file in the repository.); MiniCPM-V 4.7 1B 70 (Chat template 20, chat_template.jinja in the repository, 7,249 characters.)
- Documentation and upkeep, Ling-3.0-tiny +8: Ling-3.0-tiny 56 (Model card 11, intended use, architecture, parameters and context are there, limitations, languages and a cut-off aren't.); 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…)
- Risk, MiniCPM-V 4.7 1B +5: Ling-3.0-tiny 50 (File safety gets 15, safetensors and GGUF only, but the card's vLLM command runs the repository's config code with --trust-remote-code.); 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…)