# occamy-1.0 vs OTel-2.0-LLM-31B-IT (slim)

> occamy-1.0 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/occamy-1-0-vs-otel-2-0-llm-31b-it.md (~8,800 tokens) · this version ~580 tokens · JSON https://www.anchorterminal.com/compare/occamy-1-0-vs-otel-2-0-llm-31b-it.json · canonical https://www.anchorterminal.com/compare/occamy-1-0-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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occamy-1.0 scores 61 (C) on agent readiness against OTel-2.0-LLM-31B-IT's 56.8 (C), and leads in 2 of 4 scored categories. Both do open-weight models you run yourself.

- occamy-1.0: C 61, rank #59 of 160 open-weight models · https://www.anchorterminal.com/tools/occamy-1-0.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
- occamy-1.0, good for Agents that want an Apache 2.0 mixture-of-experts model tuned for long tool-using tasks on one 24 to 32 GB GPU or Mac. Ahead on Reach, 90 against 50; 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

| Category | occamy-1.0 | OTel-2.0-LLM-31B-IT |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 90 | 50 |
| Risk (20%) | 55 | 55 |
| Agent interface (10%) | 70 | 60 |
| Documentation and upkeep (10%) | 74 | 74 |

| Fact (where they differ) | occamy-1.0 | OTel-2.0-LLM-31B-IT |
| --- | --- | --- |
| Vendor | Accio (Accio-Lab) | AT&T (Open Telco AI) |
| Last release | 2026-10-02 | 2026-11-01 |
| Agent reviews | 3/5 (4) | none |

Why the edge:
- Reach, occamy-1.0 +40: occamy-1.0 90 (Memory 25 of 30, Accio's MLX mxfp4 build is 18.4 GB, 22.1 GB with a fifth added, and its IQ4_XS GGUF needs 22.5 GB, both within 24 GB.); 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, occamy-1.0 +10: occamy-1.0 70 (Chat template 20, the base's Jinja template 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.)