AllenAI: Olmo 3 7B Think
Analysis Summary
AllenAI: Olmo 3 7B Think sits in the Efficient tier on our leaderboard, ranked #252 of 544 published models on overall intelligence. At $0.120 input and $0.200 output per 1M tokens, it is among the most expensive on the market. It offers a mid-sized context window.
Editorial notes
Olmo 3 7B Think from AllenAI offers slightly better math performance than its instruct sibling but remains weak on reasoning and coding, with minimal agentic capability.
Assessed May 5, 2026
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Performance Profile
Olmo 3 7B Think is a research-oriented language model in the Olmo family designed for advanced reasoning and instruction-driven tasks. It excels at multi-step problem solving, logical inference, and maintaining coherent conversational context. Developed by Ai2 under the Apache 2.0 license, Olmo 3 7B Think supports transparent, fully open experimentation and provides a lightweight yet capable foundation for academic research and practical NLP workflows.
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does AllenAI: Olmo 3 7B Think stack up?
Compare side-by-side with other efficient models.
Model Information
| OpenRouter ID |
allenai/olmo-3-7b-think
|
| Provider | allenai |
| Release Date | November 21, 2025 |
| Context Length | 65,536 tokens |
| Max Completion | 65,536 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.12 | $0.000120 |
| Output | $0.20 | $0.000200 |
