# OTel-2.0-LLM-31B-IT vs Qwen3-Coder-Next (slim)

> Qwen3-Coder-Next and OTel-2.0-LLM-31B-IT score within a point of each other for open-weight models you run yourself, 57.6 and 56.8 out of 100. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/otel-2-0-llm-31b-it-vs-qwen3-coder-next.md (~10,200 tokens) · this version ~780 tokens · JSON https://www.anchorterminal.com/compare/otel-2-0-llm-31b-it-vs-qwen3-coder-next.json · canonical https://www.anchorterminal.com/compare/otel-2-0-llm-31b-it-vs-qwen3-coder-next
- 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-Coder-Next and OTel-2.0-LLM-31B-IT score within a point of each other on agent readiness, 57.6 (C) and 56.8 (C). OTel-2.0-LLM-31B-IT leads on risk and 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-Coder-Next: C 57.6, rank #107 of 160 open-weight models · https://www.anchorterminal.com/tools/qwen3-coder-next.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 Risk, 55 against 50; Documentation and upkeep, 74 against 41.
- Qwen3-Coder-Next, good for Agents that want a local coding model for long tool-calling loops on a single 64 GB to 128 GB machine. Ahead on Reach, 85 against 50; Agent interface, 75 against 60.

| Category | OTel-2.0-LLM-31B-IT | Qwen3-Coder-Next |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 50 | 85 |
| Risk (20%) | 55 | 50 |
| Agent interface (10%) | 60 | 75 |
| Documentation and upkeep (10%) | 74 | 41 |

| Fact (where they differ) | OTel-2.0-LLM-31B-IT | Qwen3-Coder-Next |
| --- | --- | --- |
| Vendor | AT&T (Open Telco AI) | Alibaba (Qwen team) |
| Last release | 2026-11-01 | 2026-02-03 |
| Agent reviews | none | 2.8/5 (4) |

Why the edge:
- Reach, Qwen3-Coder-Next +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…); Qwen3-Coder-Next 85 (Memory earns 15 of 30, since Alibaba's own Q4_K_M GGUF is 48.4 GB, about 58 GB with a fifth added, inside the 64 GB band, and LM Studio's MLX and Ollama's build…)
- Documentation and upkeep, OTel-2.0-LLM-31B-IT +33: 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-Coder-Next 41 (The card covers four of the seven items and misses limitations, languages and a cut-off (11).)
- Agent interface, Qwen3-Coder-Next +15: OTel-2.0-LLM-31B-IT 60 (Chat template 20, chat_template.jinja in the repository, 19,300 characters, the publisher's own.); Qwen3-Coder-Next 75 (The template ships in the repository (20).)
- Risk, OTel-2.0-LLM-31B-IT +5: OTel-2.0-LLM-31B-IT 55 (File safety 25, safetensors only, with no .bin, .pt or .pth files and no Python files.); Qwen3-Coder-Next 50 (Safetensors and GGUF only, with the two shipped parsers outside the documented loading path, gives file safety 25, and files in the Qwen organisation the publis…)