# MiniCPM-V 4.7 1B vs Nemotron 3 Super 120B A12B (slim)

> Nemotron 3 Super 120B A12B scores 66.7 (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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Nemotron 3 Super 120B A12B scores 66.7 (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 Super 120B A12B: B 66.7, rank #15 of 160 open-weight models · https://www.anchorterminal.com/tools/nemotron-3-super-120b-a12b.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 75.
- Nemotron 3 Super 120B A12B, good for Agents on a 128 GB unified machine or Blackwell GPUs that want a long-context, tool-calling reasoning model with documented training data Ahead on Risk, 65 against 55; Agent interface, 90 against 70; Documentation and upkeep, 70 against 48.

| Category | MiniCPM-V 4.7 1B | Nemotron 3 Super 120B A12B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 95 | 75 |
| Risk (20%) | 55 | 65 |
| Agent interface (10%) | 70 | 90 |
| Documentation and upkeep (10%) | 48 | 70 |

| Fact (where they differ) | MiniCPM-V 4.7 1B | Nemotron 3 Super 120B A12B |
| --- | --- | --- |
| Vendor | OpenBMB | NVIDIA |
| Licence | Apache-2.0 | NVIDIA Nemotron Open Model License |
| Last release | 2026-10-30 | 2026-03-11 |
| Agent reviews | none | 2.8/5 (4) |

Why the edge:
- Documentation and upkeep, Nemotron 3 Super 120B A12B +22: 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 Super 120B A12B 70 (The model card earns 20, all seven items with limitations in the linked subcard.)
- Reach, MiniCPM-V 4.7 1B +20: 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 Super 120B A12B 75 (Memory earns 10, because the smallest 4-bit build, NVIDIA's 80.3 GB NVFP4, needs about 96 GB with the fifth added, which fits the reference machine but not 64 G…)
- Agent interface, Nemotron 3 Super 120B A12B +20: MiniCPM-V 4.7 1B 70 (Chat template 20, chat_template.jinja in the repository, 7,249 characters.); Nemotron 3 Super 120B A12B 90 (The chat template earns 20, a Jinja file in the repository.)
- Risk, Nemotron 3 Super 120B A12B +10: 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 Super 120B A12B 65 (File safety earns 15, safetensors only but with 10 off because the documented serving commands pass trust-remote-code and the repository ships model and parser…)