OpenAI: o3 Mini
Analysis Summary
OpenAI: o3 Mini sits in the Specialist tier on our leaderboard, ranked #118 of 523 published models on overall intelligence. At $1.10 input and $4.40 output per 1M tokens, it is among the most expensive on the market. It offers a generous context window for extended reasoning and code review and supports tool use, function calling, and reasoning.
Editorial notes
OpenAI's o3 Mini is a capable reasoning model with strong GPQA and MMLU scores and tool/function calling support, but its overall intelligence and coding indices place it in the mid-tier range. At $1.10/1M input tokens with a 200K context window, it offers reasonable value for businesses needing structured reasoning on a budget.
Assessed April 23, 2026
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
OpenAI o3-mini is a cost-efficient language model optimized for STEM reasoning tasks, particularly excelling in science, mathematics, and coding. This model supports the reasoning_effort parameter, which can be set to..
Capabilities
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Benchmark data from Artificial Analysis and Hugging Face
How does OpenAI: o3 Mini stack up?
Compare side-by-side with other specialist models.
Model Information
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $1.10 | $0.001100 |
| Output | $4.40 | $0.004400 |
Live Performance
Live endpoint metrics — refreshed every 30 minutes.
