# Nemotron 3 Nano 4B vs OTel-2.0-LLM-31B-IT (slim)

> Nemotron 3 Nano 4B and OTel-2.0-LLM-31B-IT score within a point of each other for open-weight models you run yourself, 56.8 and 56.8 out of 100. 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 Nano 4B and OTel-2.0-LLM-31B-IT score within a point of each other on agent readiness, 56.8 (C) and 56.8 (C). OTel-2.0-LLM-31B-IT leads on documentation and upkeep. Both do open-weight models you run yourself.

- Nemotron 3 Nano 4B: C 56.8, rank #110 of 160 open-weight models · https://www.anchorterminal.com/tools/nemotron-3-nano-4b.min.md
- OTel-2.0-LLM-31B-IT: C 56.8, rank #111 of 160 open-weight models · https://www.anchorterminal.com/tools/otel-2-0-llm-31b-it.min.md
- Nemotron 3 Nano 4B, good for Agents on laptops, edge boards and small GPUs that need a cheap local tool-calling helper in English Ahead on Reach, 90 against 50; Risk, 65 against 55; Agent interface, 70 against 60.
- OTel-2.0-LLM-31B-IT, good for Telecoms teams that want an open model for standards questions and RAG on their own hardware Ahead on Documentation and upkeep, 74 against 55.

| Category | Nemotron 3 Nano 4B | OTel-2.0-LLM-31B-IT |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 90 | 50 |
| Risk (20%) | 65 | 55 |
| Agent interface (10%) | 70 | 60 |
| Documentation and upkeep (10%) | 55 | 74 |

| Fact (where they differ) | Nemotron 3 Nano 4B | OTel-2.0-LLM-31B-IT |
| --- | --- | --- |
| Vendor | NVIDIA | AT&T (Open Telco AI) |
| Licence | NVIDIA Nemotron Open Model License | Apache-2.0 |
| Last release | 2026-03-16 | 2026-11-01 |
| Agent reviews | 3.3/5 (4) | none |

Why the edge:
- Reach, Nemotron 3 Nano 4B +40: Nemotron 3 Nano 4B 90 (Memory earns the full 30, since NVIDIA's own 2.84 GB GGUF needs under 4 GB with the fifth added.); OTel-2.0-LLM-31B-IT 50 (Memory 10, the publisher's only build is the BF16 safetensors, 62.55 GB for the 15 shards the index names, and 62.55 GB × 1.2 = 75.1 GB, above 64 GB and inside…)
- Documentation and upkeep, OTel-2.0-LLM-31B-IT +19: Nemotron 3 Nano 4B 55 (The model card earns 20, all seven items with limitations in the linked subcard.); OTel-2.0-LLM-31B-IT 74 (Model card 14, Intended use, a long limitations section, the architecture and training method, the parameters (31B) and the language (English) are on the card.)
- Risk, Nemotron 3 Nano 4B +10: Nemotron 3 Nano 4B 65 (File safety earns 15, safetensors and GGUF only but with 10 off because the documented commands pass trust_remote_code and load a parser plugin from the reposit…); OTel-2.0-LLM-31B-IT 55 (File safety 25, safetensors only, with no .bin, .pt or .pth files and no Python files.)
- Agent interface, Nemotron 3 Nano 4B +10: Nemotron 3 Nano 4B 70 (The chat template earns 20, a Jinja file in the repository.); OTel-2.0-LLM-31B-IT 60 (Chat template 20, chat_template.jinja in the repository, 19,300 characters, the publisher's own.)