AllenAI: Olmo 3 7B Instruct
Analysis Summary
AllenAI: Olmo 3 7B Instruct sits in the Efficient tier on our leaderboard, ranked #266 of 544 published models on overall intelligence. At $0.100 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 Instruct from AllenAI is a small, cheap model with limited reasoning and coding capability across all benchmarks, best suited to lightweight or research tasks only.
Assessed May 5, 2026
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
Olmo 3 7B Instruct is a supervised instruction-fine-tuned variant of the Olmo 3 7B base model, optimized for instruction-following, question-answering, and natural conversational dialogue. By leveraging high-quality instruction data and an open training pipeline, it delivers strong performance across everyday NLP tasks while remaining accessible and easy to integrate. Developed by Ai2 under the Apache 2.0 license, the model offers a transparent, community-friendly option for instruction-driven applications.
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does AllenAI: Olmo 3 7B Instruct stack up?
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Model Information
| OpenRouter ID |
allenai/olmo-3-7b-instruct
|
| 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 | $0.10 | $0.000100 |
| Output | $0.20 | $0.000200 |
External Resources
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Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: May 5, 2026 8:38 pm