# OTel-2.0-LLM-31B-IT vs ZAYA1-8B (slim)

> ZAYA1-8B 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/otel-2-0-llm-31b-it-vs-zaya1-8b.md (~8,800 tokens) · this version ~580 tokens · JSON https://www.anchorterminal.com/compare/otel-2-0-llm-31b-it-vs-zaya1-8b.json · canonical https://www.anchorterminal.com/compare/otel-2-0-llm-31b-it-vs-zaya1-8b
- 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)

ZAYA1-8B 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 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
- ZAYA1-8B: C 61, rank #85 of 160 open-weight models · https://www.anchorterminal.com/tools/zaya1-8b.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 50.
- ZAYA1-8B, good for People who want a small, fast reasoning model for maths and code and can live without tool calling Ahead on Reach, 80 against 50.

| Category | OTel-2.0-LLM-31B-IT | ZAYA1-8B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 50 | 80 |
| Risk (20%) | 55 | 55 |
| Agent interface (10%) | 60 | 60 |
| Documentation and upkeep (10%) | 74 | 50 |

| Fact (where they differ) | OTel-2.0-LLM-31B-IT | ZAYA1-8B |
| --- | --- | --- |
| Vendor | AT&T (Open Telco AI) | Zyphra |
| Last release | 2026-11-01 | 2026-07-02 |

Why the edge:
- Reach, ZAYA1-8B +30: 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…); ZAYA1-8B 80 (Memory 30, the smallest build from Zyphra is the MXFP4-Experts repository, 5.85 GB, and 5.85 GB × 1.2 = 7.0 GB, within 16 GB.)
- Documentation and upkeep, OTel-2.0-LLM-31B-IT +24: 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.); ZAYA1-8B 50 (Model card 5, Intended use and the parameter counts are on the card.)