OpenAI: o3 Mini High
Analysis Summary
OpenAI: o3 Mini High sits in the Specialist tier on our leaderboard, ranked #127 of 544 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 o3 Mini High shows strong coding performance with livecodebench at 0.734 and solid GPQA, with tool use and function calling at accessible pricing for a reasoning-focused model.
Assessed May 5, 2026
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
OpenAI o3-mini-high is the same model as o3-mini with reasoning_effort set to high. o3-mini is a cost-efficient language model optimized for STEM reasoning tasks, particularly excelling in science, mathematics, and..
Capabilities
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does OpenAI: o3 Mini High 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.
External Resources
Explore Related Models
Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: May 9, 2026 8:38 pm