# Darwin-36B-Opus vs OTel-2.0-LLM-31B-IT (slim)

> Darwin-36B-Opus 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/darwin-36b-opus-vs-otel-2-0-llm-31b-it.md (~9,750 tokens) · this version ~680 tokens · JSON https://www.anchorterminal.com/compare/darwin-36b-opus-vs-otel-2-0-llm-31b-it.json · canonical https://www.anchorterminal.com/compare/darwin-36b-opus-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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Darwin-36B-Opus 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. OTel-2.0-LLM-31B-IT leads on documentation and upkeep. Both do open-weight models you run yourself.

- Darwin-36B-Opus: C 61, rank #43 of 160 open-weight models · https://www.anchorterminal.com/tools/darwin-36b-opus.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
- Darwin-36B-Opus, good for Reasoning-heavy text tasks on a 32 GB machine or a single 80 GB GPU, where a disclosed training method isn't required Ahead on Reach, 80 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 Ahead on Documentation and upkeep, 74 against 61.

| Category | Darwin-36B-Opus | OTel-2.0-LLM-31B-IT |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 80 | 50 |
| Risk (20%) | 55 | 55 |
| Agent interface (10%) | 70 | 60 |
| Documentation and upkeep (10%) | 61 | 74 |

| Fact (where they differ) | Darwin-36B-Opus | OTel-2.0-LLM-31B-IT |
| --- | --- | --- |
| Vendor | FINAL-Bench (VIDRAFT) | AT&T (Open Telco AI) |
| Last release | 2026-04-23 | 2026-11-01 |
| Agent reviews | 2.5/5 (4) | none |

Why the edge:
- Reach, Darwin-36B-Opus +30: Darwin-36B-Opus 80 (Memory 20, the publisher's Q4_K_M GGUF is 21.2 GB and needs about 25.4 GB with the fifth added, so 32 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…)
- Documentation and upkeep, OTel-2.0-LLM-31B-IT +13: Darwin-36B-Opus 61 (Model card 11, it covers architecture, parameters, context and languages but not intended use, limitations or a knowledge cut-off.); 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.)
- Agent interface, Darwin-36B-Opus +10: Darwin-36B-Opus 70 (Chat template 20, Qwen3.6'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.)