# Ling-3.0-tiny vs MiniCPM-V 4.7 35B-A3B (slim)

> MiniCPM-V 4.7 35B-A3B 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.

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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 35B-A3B scores 61 (C) on agent readiness against Ling-3.0-tiny's 56.2 (C), and leads in 3 of 4 scored categories. Ling-3.0-tiny leads on reach. 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 35B-A3B: C 61, rank #77 of 160 open-weight models · https://www.anchorterminal.com/tools/minicpm-v-4-7-35b-a3b.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 Reach, 95 against 90.
- 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 Risk, 55 against 50; Agent interface, 70 against 60; Documentation and upkeep, 68 against 56.

| Category | Ling-3.0-tiny | MiniCPM-V 4.7 35B-A3B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 95 | 90 |
| Risk (20%) | 50 | 55 |
| Agent interface (10%) | 60 | 70 |
| Documentation and upkeep (10%) | 56 | 68 |

| Fact (where they differ) | Ling-3.0-tiny | MiniCPM-V 4.7 35B-A3B |
| --- | --- | --- |
| Vendor | inclusionAI (Ant Group) | OpenBMB |
| Licence | MIT | Apache-2.0 |
| Last release | 2026-08-31 | 2026-11-03 |
| Agent reviews | 2.8/5 (4) | none |

Why the edge:
- Documentation and upkeep, MiniCPM-V 4.7 35B-A3B +12: 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 35B-A3B 68 (Model card 8, it covers intended use, architecture and parameters but not limitations, context length, languages or a knowledge cut-off.)
- Agent interface, MiniCPM-V 4.7 35B-A3B +10: Ling-3.0-tiny 60 (Chat template 20, a Jinja file in the repository.); MiniCPM-V 4.7 35B-A3B 70 (Chat template 20, a Jinja file in the repository.)
- Reach, Ling-3.0-tiny +5: Ling-3.0-tiny 95 (Memory earns the full 30, since inclusionAI's own Q4_K_M GGUF is 4.8 GB, about 6 GB with a fifth added.); 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…)
- Risk, MiniCPM-V 4.7 35B-A3B +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 35B-A3B 55 (File safety 25, safetensors and GGUF only, no Python in the main repository and no remote code needed.)