AllenAI: Olmo 3.1 32B Instruct
AllenAI's Olmo 3.1 32B Instruct is an open-source model with modest benchmark scores and tool use support; affordable and accessible, but limited capability makes it best suited for lightweight or experimental applications.
Assessment date: April 4, 2026
Our methodology takes into account a range of factors including pricing, functionality, capabilities, benchmark performance, and real-world applicability. Rankings are reviewed and updated regularly as new models are released. Issues with our rankings? Contact us
Performance Profile
Olmo 3.1 32B Instruct is a large-scale, 32-billion-parameter instruction-tuned language model engineered for high-performance conversational AI, multi-turn dialogue, and practical instruction following. As part of the Olmo 3.1 family, this..
Capabilities
Architecture
| Modality | Text → Text |
| Tokenizer | Other |
| Parameters | 32B |
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does AllenAI: Olmo 3.1 32B Instruct stack up?
Compare side-by-side with other efficient models.
Model Information
| OpenRouter ID |
allenai/olmo-3.1-32b-instruct
|
| Provider | allenai |
| Release Date | January 6, 2026 |
| Context Length | 65,536 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.20 | $0.000200 |
| Output | $0.60 | $0.000600 |
Live Performance
Live endpoint metrics — refreshed every 30 minutes.
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: April 15, 2026 8:53 pm