# Olmo 3 7B Think vs Ornith-1.5-122B (slim)

> Ornith-1.5-122B 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-ornith-1-5-122b.md (~9,400 tokens) · this version ~780 tokens · JSON https://www.anchorterminal.com/compare/olmo-3-7b-think-vs-ornith-1-5-122b.json · canonical https://www.anchorterminal.com/compare/olmo-3-7b-think-vs-ornith-1-5-122b
- 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)

Ornith-1.5-122B scores 61 (C) on agent readiness against Olmo 3 7B Think's 52.3 (D), and leads in 1 of 4 scored categories. Olmo 3 7B Think leads on risk and documentation and upkeep. 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
- Ornith-1.5-122B: C 61, rank #81 of 160 open-weight models · https://www.anchorterminal.com/tools/ornith-1-5-122b.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 50; Documentation and upkeep, 52 against 36.
- Ornith-1.5-122B, good for Local coding and terminal agents on a 128 GB unified-memory machine or a 96 GB GPU setup, where a clear licence file and an answering publisher aren't required Ahead on Agent interface, 85 against 35.

| Category | Olmo 3 7B Think | Ornith-1.5-122B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 75 | 75 |
| Risk (20%) | 75 | 50 |
| Agent interface (10%) | 35 | 85 |
| Documentation and upkeep (10%) | 52 | 36 |

| Fact (where they differ) | Olmo 3 7B Think | Ornith-1.5-122B |
| --- | --- | --- |
| Vendor | Ai2 (Allen Institute for AI) | Ornith |
| Licence | Apache-2.0, with Ai2's Responsible Use Guidelines named on the card | MIT |
| Last release | 2026-06-25 | 2026-10-24 |
| 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, Ornith-1.5-122B +50: Olmo 3 7B Think 35 (The chat template earns 20 for chat_template.jinja in the repository.); Ornith-1.5-122B 85 (Chat template 20, a Jinja file in the repository.)
- Risk, Olmo 3 7B Think +25: Olmo 3 7B Think 75 (File safety earns 25, safetensors only and nothing from the repository runs.); Ornith-1.5-122B 50 (File safety 25, safetensors and GGUF only and no Python in any of Ornith's repositories for this size, so the card's --trust-remote-code flag loads nothing from…)
- Documentation and upkeep, Olmo 3 7B Think +16: Olmo 3 7B Think 52 (The model card earns 17, missing only the context length.); Ornith-1.5-122B 36 (Model card 11, it covers intended use, architecture, parameters and context but not limitations, languages or a knowledge cut-off.)