AllenAI • LLM
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...
Context Window
66K tokens
Input Price/1M
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Output Price/1M
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Parameters
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Olmo 3.1 32B Instruct results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Terminal-Bench Hard | 0.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| SciCode | 17.0 | 100.0 | — |
| AA Coding Index | 5.6 | 100.0 | Artificial Analysis official API |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA-LCR | 0.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 12.2 | 100.0 | Artificial Analysis official API |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| GPQA Diamond | 54.0 | 100.0 | Artificial Analysis official API |
| IFBench | 39.0 | 100.0 | — |
| HLE | 5.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Tau²-Bench | 21.0 | 100.0 | — |
Olmo 3.1 32B Instruct is an AI model developed by AllenAI, classified as a large language model (LLM). It focuses on text processing and natural language generation. As an open source model, it is available for download, customization, and on-premises deployment. With a context window of 66K tokens, it is suitable for processing medium-sized documents like articles, reports, and code sections.
Olmo 3.1 32B Instruct does not have public per-token pricing available at this time. Some models offer access via enterprise plans or research programs. Check AllenAI's official website for up-to-date availability and pricing.
Olmo 3.1 32B Instruct was evaluated on 9 different benchmarks, covering categories like Agentic, Coding, Long Context, overall, Reasoning, Tool Use. Results show moderate performance across available evaluations.
It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.
Olmo 3.1 32B Instruct is suitable for a wide range of AI applications: automation with tool calling (API integration, databases, external systems), text generation, summarization, translation, and general assistance.
In the 2026 AI model ecosystem, Olmo 3.1 32B Instruct competes directly with similarly capable models. AllenAI competes in this segment against OpenAI, Anthropic, Google, and Meta. The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.
For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.
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...
Olmo 3.1 32B Instruct does not have public per-token pricing available at this time. Check AllenAI's official website for up-to-date information.
In available benchmarks, Olmo 3.1 32B Instruct scored: Terminal-Bench Hard: 0/100, SciCode: 17/100, AA Coding Index: 5.6/100. See the full table above for a detailed comparison.
Yes, Olmo 3.1 32B Instruct is an open source model. You can deploy it on-premises, customize it via fine-tuning, and maintain full control over your data. Check the official repository for the specific license.
Olmo 3.1 32B Instruct excels at general-purpose language tasks. It supports tool calling for API integrations and automation.
Last updated: June 01, 2026 • View methodology →