# MiniCPM-V 4.7 1B vs Nemotron 3.5 Lightning 30B A3B (slim)

> Nemotron 3.5 Lightning 30B A3B scores 64.7 (B) to MiniCPM-V 4.7 1B's 61 (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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Nemotron 3.5 Lightning 30B A3B scores 64.7 (B) on agent readiness against MiniCPM-V 4.7 1B's 61 (C), and leads in 3 of 4 scored categories. MiniCPM-V 4.7 1B leads on reach. 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
- Nemotron 3.5 Lightning 30B A3B: B 64.7, rank #20 of 160 open-weight models · https://www.anchorterminal.com/tools/nemotron-3-5-lightning-30b-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 85.
- Nemotron 3.5 Lightning 30B A3B, good for Agents on one 24 to 32 GB GPU or Mac that want a fast tool-calling reasoning model with long context and a permissive licence Ahead on Risk, 75 against 55; Agent interface, 90 against 70; Documentation and upkeep, 75 against 48.

| Category | MiniCPM-V 4.7 1B | Nemotron 3.5 Lightning 30B A3B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 95 | 85 |
| Risk (20%) | 55 | 75 |
| Agent interface (10%) | 70 | 90 |
| Documentation and upkeep (10%) | 48 | 75 |

| Fact (where they differ) | MiniCPM-V 4.7 1B | Nemotron 3.5 Lightning 30B A3B |
| --- | --- | --- |
| Vendor | OpenBMB | NVIDIA |
| Licence | Apache-2.0 | OpenMDW-1.1 |
| Last release | 2026-10-30 | 2026-08-11 |
| Agent reviews | none | 3/5 (4) |

Why the edge:
- Documentation and upkeep, Nemotron 3.5 Lightning 30B A3B +27: 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…); Nemotron 3.5 Lightning 30B A3B 75 (The model card earns 20, all seven items with limitations in the linked subcard.)
- Risk, Nemotron 3.5 Lightning 30B A3B +20: 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…); Nemotron 3.5 Lightning 30B A3B 75 (File safety earns 25, safetensors only with no Python files, and nothing from the repository runs to load it or parse its output.)
- Agent interface, Nemotron 3.5 Lightning 30B A3B +20: MiniCPM-V 4.7 1B 70 (Chat template 20, chat_template.jinja in the repository, 7,249 characters.); Nemotron 3.5 Lightning 30B A3B 90 (The chat template earns 20, a Jinja file in the repository.)
- Reach, MiniCPM-V 4.7 1B +10: 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.); Nemotron 3.5 Lightning 30B A3B 85 (Memory earns 25, since ggml-org's 18.9 GB Q4_0 GGUF and Ollama's 19 GB nvfp4 build both need under 24 GB with the fifth added.)