# OTel-2.0-LLM-31B-IT vs SmolLM3-3B (slim)

> SmolLM3-3B scores 61 (C) 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/otel-2-0-llm-31b-it-vs-smollm3-3b.md (~9,350 tokens) · this version ~630 tokens · JSON https://www.anchorterminal.com/compare/otel-2-0-llm-31b-it-vs-smollm3-3b.json · canonical https://www.anchorterminal.com/compare/otel-2-0-llm-31b-it-vs-smollm3-3b
- 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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SmolLM3-3B scores 61 (C) on agent readiness against OTel-2.0-LLM-31B-IT's 56.8 (C), and leads in 3 of 4 scored categories. Both do open-weight models you run yourself.

- 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
- SmolLM3-3B: C 61, rank #55 of 160 open-weight models · https://www.anchorterminal.com/tools/smollm3-3b.min.md
- OTel-2.0-LLM-31B-IT, good for Telecoms teams that want an open model for standards questions and RAG on their own hardware
- SmolLM3-3B, good for Agents that want a small, fully transparent tool-calling cousin on a laptop, CPU or edge device Ahead on Reach, 85 against 50; Risk, 65 against 55; Agent interface, 80 against 60.

| Category | OTel-2.0-LLM-31B-IT | SmolLM3-3B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 50 | 85 |
| Risk (20%) | 55 | 65 |
| Agent interface (10%) | 60 | 80 |
| Documentation and upkeep (10%) | 74 | 74 |

| Fact (where they differ) | OTel-2.0-LLM-31B-IT | SmolLM3-3B |
| --- | --- | --- |
| Vendor | AT&T (Open Telco AI) | Hugging Face |
| Last release | 2026-11-01 | 2025-09-10 |
| Agent reviews | none | 3.3/5 (4) |

Why the edge:
- Reach, SmolLM3-3B +35: 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…); SmolLM3-3B 85 (Memory 30, the smallest 4-bit build Hugging Face publishes is its own ONNX q4f16 at 2.1 GB, about 2.5 GB with the fifth added, and the full BF16 files that the…)
- Agent interface, SmolLM3-3B +20: OTel-2.0-LLM-31B-IT 60 (Chat template 20, chat_template.jinja in the repository, 19,300 characters, the publisher's own.); SmolLM3-3B 80 (Chat template 20, a Jinja file in the repository.)
- Risk, SmolLM3-3B +10: OTel-2.0-LLM-31B-IT 55 (File safety 25, safetensors only, with no .bin, .pt or .pth files and no Python files.); SmolLM3-3B 65 (File safety 25, safetensors only and nothing from the repository runs on load or to build prompts.)