AllenAI: Olmo 3 32B Think
AllenAI's Olmo 3 32B Think is designed for handling text inputs within a vast context length of 65,536 tokens and supports complex reasoning processes. It does not integrate tools or produce structured output but excels in understanding and processing textual data comprehensively. Given its benchmark score of 9.1 across independent tests, Olmo 3 32B Think stands as a robust choice for projects requiring deep text analysis and reasoning capabilities. While it is pricier at $0.15 per million input tokens and $0.5 per million output tokens, its performance justifies the cost for users prioritizing high-quality textual processing tasks.
Benchmark results
Independent, published benchmarks. Blended score 9.1 across 1 benchmark, last refreshed 2026-07-25. How scoring works →
| Benchmark | Measures | Score |
|---|---|---|
| AI Index | broad capability composite | 10.6 |
- Model ID
- allenai/olmo-3-32b-think
- Vendor
- allenai
- Released
- November 2025
- Tokenizer
- Other
- Input Modalities
- text
- Output Modalities
- text
- Max Output
- 65,536 tokens
- Tool Calling
- not supported
- Structured Output
- ✓ supported
- Reasoning Mode
- ✓ supported
- Vision
- text only
- Audio
- no
- Moderated
- no
What it costs in practice
Computed from the current $0.15/M input and $0.50/M output rates. Run your own numbers →
| Job | Tokens | Cost |
|---|---|---|
| Summarize a 50-page report | 30k in / 1.5k out | under $0.01 |
| Classify 1,000 customer emails | 500k in / 50k out | $0.10 |
| A month of a busy support chatbot | 5M in / 2M out | $1.75 |
Quick answers
- How much does AllenAI: Olmo 3 32B Think cost?
- $0.15 per million input tokens and $0.50 per million output tokens.
- What is AllenAI: Olmo 3 32B Think's context window?
- 65,536 tokens, roughly 98 pages of text in a single request.
- Does AllenAI: Olmo 3 32B Think support tool calling?
- It supports structured output, a reasoning mode.
- Can AllenAI: Olmo 3 32B Think process images?
- No, it is text-only on the input side.