# OTel-2.0-LLM-31B-IT vs Qwen3-VL-8B-Instruct (slim)

> OTel-2.0-LLM-31B-IT scores 56.8 (C) to Qwen3-VL-8B-Instruct's 54.9 (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-vl-8b-instruct.md (~9,550 tokens) · this version ~630 tokens · JSON https://www.anchorterminal.com/compare/otel-2-0-llm-31b-it-vs-qwen3-vl-8b-instruct.json · canonical https://www.anchorterminal.com/compare/otel-2-0-llm-31b-it-vs-qwen3-vl-8b-instruct
- 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)

OTel-2.0-LLM-31B-IT scores 56.8 (C) on agent readiness against Qwen3-VL-8B-Instruct's 54.9 (C), and leads in 1 of 4 scored categories. Qwen3-VL-8B-Instruct leads on reach. 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-VL-8B-Instruct: C 54.9, rank #124 of 160 open-weight models · https://www.anchorterminal.com/tools/qwen3-vl-8b-instruct.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 31.
- Qwen3-VL-8B-Instruct, good for An agent with 8 GB or more to spare that needs a local model to read images, documents and video Ahead on Reach, 100 against 50.

| Category | OTel-2.0-LLM-31B-IT | Qwen3-VL-8B-Instruct |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 50 | 100 |
| Risk (20%) | 55 | 55 |
| Agent interface (10%) | 60 | 60 |
| Documentation and upkeep (10%) | 74 | 31 |

| Fact (where they differ) | OTel-2.0-LLM-31B-IT | Qwen3-VL-8B-Instruct |
| --- | --- | --- |
| Vendor | AT&T (Open Telco AI) | Alibaba (Qwen team) |
| Last release | 2026-11-01 | 2025-11-01 |
| Agent reviews | none | 2.8/5 (4) |

Why the edge:
- Reach, Qwen3-VL-8B-Instruct +50: 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-VL-8B-Instruct 100 (Alibaba's own Q4_K_M GGUF is 5.03 GB, so with a fifth added it needs about 6 GB and fits in 16 GB (30).)
- Documentation and upkeep, OTel-2.0-LLM-31B-IT +43: 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-VL-8B-Instruct 31 (The card misses limitations, languages and a cut-off (11).)