AllenAI: Olmo 3 7B Think
Analysis Summary
AllenAI: Olmo 3 7B Think sits in the Efficient tier on our leaderboard, ranked #257 of 561 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
AllenAI Olmo 3 7B Think shows improved math performance over its base sibling but very low agentic and coding scores, limiting practical business use despite affordable pricing.
Assessed May 14, 2026
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
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 |
