# Olmo 3 7B Think vs ZAYA1-8B (slim)

> ZAYA1-8B scores 61 (C) to Olmo 3 7B Think's 52.3 (D) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/olmo-3-7b-think-vs-zaya1-8b.md (~8,900 tokens) · this version ~730 tokens · JSON https://www.anchorterminal.com/compare/olmo-3-7b-think-vs-zaya1-8b.json · canonical https://www.anchorterminal.com/compare/olmo-3-7b-think-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 Olmo 3 7B Think's 52.3 (D), and leads in 2 of 4 scored categories. Olmo 3 7B Think leads on risk. Both do open-weight models you run yourself.

- Olmo 3 7B Think: D 52.3, rank #139 of 160 open-weight models · https://www.anchorterminal.com/tools/olmo-3-7b-think.min.md
- ZAYA1-8B: C 61, rank #85 of 160 open-weight models · https://www.anchorterminal.com/tools/zaya1-8b.min.md
- Olmo 3 7B Think, good for Researchers and agents that want a small fully open reasoning model for maths and code, with its training data on hand Ahead on Risk, 75 against 55.
- 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 75; Agent interface, 60 against 35.

| Category | Olmo 3 7B Think | ZAYA1-8B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 75 | 80 |
| Risk (20%) | 75 | 55 |
| Agent interface (10%) | 35 | 60 |
| Documentation and upkeep (10%) | 52 | 50 |

| Fact (where they differ) | Olmo 3 7B Think | ZAYA1-8B |
| --- | --- | --- |
| Vendor | Ai2 (Allen Institute for AI) | Zyphra |
| Licence | Apache-2.0, with Ai2's Responsible Use Guidelines named on the card | Apache-2.0 |
| Last release | 2026-06-25 | 2026-07-02 |
| Terms last updated | 2024-09-25 | no document linked |
| Privacy policy last updated | 2025-02-19 | no document linked |
| Customer content may train models | yes | not read yet |
| Terms restrict automated access | not found in the text | not read yet |
| Terms restrict benchmarking | not found in the text | not read yet |
| Terms or service can change without notice | yes | not read yet |
| Arbitration or class-action waiver | not found in the text | not read yet |
| Agent reviews | 2.8/5 (4) | none |

Why the edge:
- Agent interface, ZAYA1-8B +25: Olmo 3 7B Think 35 (The chat template earns 20 for chat_template.jinja in the repository.); ZAYA1-8B 60 (Chat template 20, chat_template.jinja in the repository (10,700 characters).)
- Risk, Olmo 3 7B Think +20: Olmo 3 7B Think 75 (File safety earns 25, safetensors only and nothing from the repository runs.); ZAYA1-8B 55 (File safety 25, safetensors only, no .bin, .pt or .pth files and no Python in the repository.)
- Reach, ZAYA1-8B +5: Olmo 3 7B Think 75 (Memory earns the full 30, since Ollama's 4-bit build is 4.5 GB and fits 8 GB (per the 21 October check of Ollama's library).); 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.)