# Nemotron 3.5 Lightning 30B A3B vs OTel-2.0-LLM-31B-IT (slim)

> Nemotron 3.5 Lightning 30B A3B scores 64.7 (B) to OTel-2.0-LLM-31B-IT's 56.8 (C) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/nemotron-3-5-lightning-30b-a3b-vs-otel-2-0-llm-31b-it.md (~10,500 tokens) · this version ~680 tokens · JSON https://www.anchorterminal.com/compare/nemotron-3-5-lightning-30b-a3b-vs-otel-2-0-llm-31b-it.json · canonical https://www.anchorterminal.com/compare/nemotron-3-5-lightning-30b-a3b-vs-otel-2-0-llm-31b-it
- 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 OTel-2.0-LLM-31B-IT's 56.8 (C), and leads in every scored category. Both do open-weight models you run yourself.

- 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
- 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 3.5 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 Reach, 85 against 50; Risk, 75 against 55; Agent interface, 90 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

| Category | Nemotron 3.5 Lightning 30B A3B | OTel-2.0-LLM-31B-IT |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 85 | 50 |
| Risk (20%) | 75 | 55 |
| Agent interface (10%) | 90 | 60 |
| Documentation and upkeep (10%) | 75 | 74 |

| Fact (where they differ) | Nemotron 3.5 Lightning 30B A3B | OTel-2.0-LLM-31B-IT |
| --- | --- | --- |
| Vendor | NVIDIA | AT&T (Open Telco AI) |
| Licence | OpenMDW-1.1 | Apache-2.0 |
| Last release | 2026-08-11 | 2026-11-01 |
| Agent reviews | 3/5 (4) | none |

Why the edge:
- Reach, Nemotron 3.5 Lightning 30B A3B +35: 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.); 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…)
- Agent interface, Nemotron 3.5 Lightning 30B A3B +30: Nemotron 3.5 Lightning 30B A3B 90 (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.)
- Risk, Nemotron 3.5 Lightning 30B A3B +20: 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.); OTel-2.0-LLM-31B-IT 55 (File safety 25, safetensors only, with no .bin, .pt or .pth files and no Python files.)