AllenAI: Olmo 3 32B Think
Analysis Summary
Olmo 3 32B Think is AllenAI's larger thinking-mode model, priced at $0.15 input and $0.50 output. Its intelligence index of 6.4 and coding index of 10.5 are low, and its agentic index of 1.5 is effectively zero for autonomous workflows. Math performance is strong at 73.7, and MMLU Pro at 0.759 shows reasonable general knowledge breadth.
For businesses, the math strength makes it a candidate for structured analytical tasks or educational applications, but the near-absent agentic capability and weak coding scores rule it out for software engineering or tool-use pipelines. Instruction following is moderate. The 65K context window is adequate for most document tasks.
At this price point it is competitive for budget-conscious deployments, but the capability ceiling is low. Teams needing reliable reasoning or coding should look to higher-indexed alternatives; this model is best treated as a low-cost analytical assistant for narrow, well-defined tasks.
Assessed June 17, 2026
Editorial notes
AllenAI's Olmo 3 32B Think is a low-cost open-weight reasoning model with strong math performance but limited coding and near-zero agentic capability, suited only to lightweight analytical tasks.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
How AllenAI: Olmo 3 32B Think compares
AllenAI: Olmo 3 32B Think ranks #290 of 380 AI models we track for overall intelligence, #238 of 317 for coding, #288 of 292 for agentic tasks. Its 66K-token context window is larger than 34% of the models we list. At $0.15 per million input tokens it is cheaper than 57% of comparable models.
About AllenAI: Olmo 3 32B Think
Olmo 3 32B Think is a large-scale, 32-billion-parameter model purpose-built for deep reasoning, complex logic chains and advanced instruction-following scenarios. Its capacity enables strong performance on demanding evaluation tasks and..
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does AllenAI: Olmo 3 32B Think stack up?
Compare side-by-side with other professional models.
Model Information
| OpenRouter ID |
allenai/olmo-3-32b-think
|
| 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 | $0.15 | $0.000150 |
| Output | $0.50 | $0.000500 |
Leaderboard Categories
External Resources
Explore Related Models
Frequently asked questions about AllenAI: Olmo 3 32B Think
How much does AllenAI: Olmo 3 32B Think cost?
AllenAI: Olmo 3 32B Think costs $0.15 per million input tokens and $0.50 per million output tokens.
What is the context window of AllenAI: Olmo 3 32B Think?
AllenAI: Olmo 3 32B Think has a context window of 65,536 tokens (66K).
Is AllenAI: Olmo 3 32B Think good for coding?
On our coding benchmark index, AllenAI: Olmo 3 32B Think ranks #238 of 317 models, placing it in the broader range of the field for code generation and debugging.
Who created AllenAI: Olmo 3 32B Think?
AllenAI: Olmo 3 32B Think is developed by AllenAI and was released on November 21, 2025.
Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: June 17, 2026 9:41 am