# LongCat-2.5 vs Nemotron 3 Super 120B A12B (slim)

> Nemotron 3 Super 120B A12B scores 66.7 (B) to LongCat-2.5's 50.5 (D) 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 Super 120B A12B scores 66.7 (B) on agent readiness against LongCat-2.5's 50.5 (D), and leads in every scored category. Both do open-weight models you run yourself.

- LongCat-2.5: D 50.5, rank #145 of 160 open-weight models · https://www.anchorterminal.com/tools/longcat-2-5.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
- LongCat-2.5, good for Operators with NPU clusters, and anyone tracking what the open flagships can do
- 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 Reach, 75 against 35; Risk, 65 against 60; Agent interface, 90 against 75; Documentation and upkeep, 70 against 46.

| Category | LongCat-2.5 | Nemotron 3 Super 120B A12B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 35 | 75 |
| Risk (20%) | 60 | 65 |
| Agent interface (10%) | 75 | 90 |
| Documentation and upkeep (10%) | 46 | 70 |

| Fact (where they differ) | LongCat-2.5 | Nemotron 3 Super 120B A12B |
| --- | --- | --- |
| Vendor | Meituan (LongCat) | NVIDIA |
| Licence | MIT | NVIDIA Nemotron Open Model License |
| Last release | 2026-11-10 | 2026-03-11 |
| Terms last updated | not read yet | no document linked |
| Agent reviews | none | 2.8/5 (4) |

Why the edge:
- Reach, Nemotron 3 Super 120B A12B +40: LongCat-2.5 35 (Memory 0, the smallest build is Meituan's W4A4 repository, 1,336 GB, and 1,336 GB × 1.2 = 1,603 GB, far above 256 GB.); 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…)
- Documentation and upkeep, Nemotron 3 Super 120B A12B +24: LongCat-2.5 46 (Model card 11, Intended use, limitations (the usage considerations), the architecture and the parameter counts are on the card.); Nemotron 3 Super 120B A12B 70 (The model card earns 20, all seven items with limitations in the linked subcard.)
- Agent interface, Nemotron 3 Super 120B A12B +15: LongCat-2.5 75 (Chat template 20, chat_template.jinja in the repository (11,823 characters), with a copy in tokenizer_config.json.); Nemotron 3 Super 120B A12B 90 (The chat template earns 20, a Jinja file in the repository.)
- Risk, Nemotron 3 Super 120B A12B +5: LongCat-2.5 60 (File safety 25, safetensors only, no .bin, .pt or .pth files and no Python in the repository.); 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…)