# OTel-2.0-LLM-31B-IT vs Qwopus3.8-27B-Flash-V2 (slim)

> Qwopus3.8-27B-Flash-V2 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.

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- 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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Qwopus3.8-27B-Flash-V2 scores 61 (C) on agent readiness against OTel-2.0-LLM-31B-IT's 56.8 (C), and leads in 1 of 4 scored categories. 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
- Qwopus3.8-27B-Flash-V2: C 61, rank #53 of 160 open-weight models · https://www.anchorterminal.com/tools/qwopus3-8-27b-flash-v2.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 51.
- Qwopus3.8-27B-Flash-V2, good for Hobbyist and research agents that want a Qwen3.8-27B tuned for shorter reasoning, for local coding loops on a 24 GB GPU. Ahead on Reach, 85 against 50.

| Category | OTel-2.0-LLM-31B-IT | Qwopus3.8-27B-Flash-V2 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 50 | 85 |
| Risk (20%) | 55 | 50 |
| Agent interface (10%) | 60 | 60 |
| Documentation and upkeep (10%) | 74 | 51 |

| Fact (where they differ) | OTel-2.0-LLM-31B-IT | Qwopus3.8-27B-Flash-V2 |
| --- | --- | --- |
| Vendor | AT&T (Open Telco AI) | Jackrong |
| Licence | Apache-2.0 | Apache-2.0 (metadata only, no LICENSE file); built on Qwen3.8-27B under Apache 2.0 |
| Last release | 2026-11-01 | 2026-09-21 |
| Agent reviews | none | 2.5/5 (4) |

Why the edge:
- Reach, Qwopus3.8-27B-Flash-V2 +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…); Qwopus3.8-27B-Flash-V2 85 (Memory 25 of 30, Jackrong's IQ4_XS GGUF is 15.4 GB, about 18.5 GB with a fifth added, which fits 24 GB.)
- Documentation and upkeep, OTel-2.0-LLM-31B-IT +23: 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.); Qwopus3.8-27B-Flash-V2 51 (Model card 11 of 20, missing architecture, context and a cut-off.)
- 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.); Qwopus3.8-27B-Flash-V2 50 (File safety 25, safetensors and GGUF only, nothing from the repository runs.)