# OTel-2.0-LLM-31B-IT vs Qwen3.8-27B (slim)

> Qwen3.8-27B scores 68.6 (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/otel-2-0-llm-31b-it-vs-qwen3-8-27b.md (~9,500 tokens) · this version ~680 tokens · JSON https://www.anchorterminal.com/compare/otel-2-0-llm-31b-it-vs-qwen3-8-27b.json · canonical https://www.anchorterminal.com/compare/otel-2-0-llm-31b-it-vs-qwen3-8-27b
- 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
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)

Qwen3.8-27B scores 68.6 (B) 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.

- 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
- Qwen3.8-27B: B 68.6, rank #11 of 160 open-weight models · https://www.anchorterminal.com/tools/qwen3-8-27b.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 Ahead on Documentation and upkeep, 74 against 36.
- Qwen3.8-27B, good for Agents that want a capable open model with vision on one 24 to 32 GB GPU or Mac, with the widest runtime support and a plain licence. Ahead on Reach, 90 against 50; Agent interface, 70 against 60.

| Category | OTel-2.0-LLM-31B-IT | Qwen3.8-27B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 50 | 90 |
| Risk (20%) | 55 | 55 |
| Agent interface (10%) | 60 | 70 |
| Documentation and upkeep (10%) | 74 | 36 |

| Fact (where they differ) | OTel-2.0-LLM-31B-IT | Qwen3.8-27B |
| --- | --- | --- |
| Vendor | AT&T (Open Telco AI) | Alibaba (Qwen team) |
| Last release | 2026-11-01 | 2026-08-14 |
| Agent reviews | none | 3/5 (4) |

Why the edge:
- Reach, Qwen3.8-27B +40: 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…); Qwen3.8-27B 90 (Memory 25 of 30, Ollama's smallest 4-bit build is 18 GB, or 21.6 GB with a fifth added, which fits 24 GB.)
- Documentation and upkeep, OTel-2.0-LLM-31B-IT +38: 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.); Qwen3.8-27B 36 (Model card 11 of 20, intended use, architecture, parameters and context are there, but limitations, languages and a knowledge cut-off aren't.)
- Agent interface, Qwen3.8-27B +10: OTel-2.0-LLM-31B-IT 60 (Chat template 20, chat_template.jinja in the repository, 19,300 characters, the publisher's own.); Qwen3.8-27B 70 (Chat template 20, a Jinja file in the repository.)