Specifications
Context Window
—
Input Price/1M
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Output Price/1M
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Parameters
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Benchmarks
OLMo 2 32B results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
Agentic
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Terminal-Bench Hard | 0.0 | 100.0 | — |
Coding
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| SciCode | 8.0 | 100.0 | — |
| LiveCodeBench | 7.0 | 100.0 | Artificial Analysis official API |
| AA Coding Index | 2.7 | 100.0 | Artificial Analysis official API |
Knowledge
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU-Pro | 51.0 | 100.0 | — |
Long Context
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA-LCR | 0.0 | 100.0 | — |
Math
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Math Index | 3.3 | 100.0 | Artificial Analysis official API |
| AIME 2025 | 3.0 | 100.0 | Artificial Analysis official API |
overall
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 10.6 | 100.0 | Artificial Analysis official API |
Reasoning
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU Pro | 51.1 | 100.0 | Artificial Analysis official API |
| IFBench | 38.0 | 100.0 | — |
| GPQA Diamond | 33.0 | 100.0 | Artificial Analysis official API |
| HLE | 4.0 | 100.0 | — |
Tool Use
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Tau²-Bench | 0.0 | 100.0 | — |
Information
- Release date
- March 13, 2025
- Tool Calling
- ❌ Not supported
- Vision
- ❌ Not supported
- Audio
- ❌ Not supported
Full Analysis: OLMo 2 32B
What is OLMo 2 32B?
OLMo 2 32B is an AI model developed by Allen Institute for AI, classified as a text model. It focuses on text processing and natural language generation. As a proprietary model, it is available via Allen Institute for AI's cloud API.
Pricing & Costs in 2026
OLMo 2 32B does not have public per-token pricing available at this time. Some models offer access via enterprise plans or research programs. Check Allen Institute for AI's official website for up-to-date availability and pricing.
Benchmarks & Performance
OLMo 2 32B was evaluated on 14 different benchmarks, covering categories like Agentic, Coding, Knowledge, Long Context, Math, 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.
Recommended Use Cases
OLMo 2 32B specializes in text, offering advanced capabilities for creating and processing text content.
Comparison with Alternatives
In the 2026 AI model ecosystem, OLMo 2 32B competes directly with similarly capable models. Allen Institute for AI 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.
Frequently Asked Questions
What is OLMo 2 32B?
OLMo 2 32B is an AI model developed by Allen Institute for AI. It is a text model.
How much does OLMo 2 32B cost?
OLMo 2 32B does not have public per-token pricing available at this time. Check Allen Institute for AI's official website for up-to-date information.
How does OLMo 2 32B compare with other models?
In available benchmarks, OLMo 2 32B scored: Terminal-Bench Hard: 0/100, SciCode: 8/100, LiveCodeBench: 7/100. See the full table above for a detailed comparison.
Is OLMo 2 32B open source?
No, OLMo 2 32B is a proprietary model from Allen Institute for AI. It is available via cloud API. For open source alternatives, check our open source model ranking.
What is OLMo 2 32B best for?
OLMo 2 32B excels at general-purpose language tasks.
Last updated: June 01, 2026 • View methodology →