o3 Mini High Model Specs, Costs & Benchmarks (July 2026)
o3 Mini High, developed by OpenAI, features a context window of 200K tokens. The model costs $1.10 per million tokens for input and $4.40 per million tokens for output. It was released on February 12, 2025, and has achieved impressive scores in various benchmarks.
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Overview
 o3 Mini High | |
|---|---|
Model Provider The organization behind this AI's development | OpenAI |
Input Context Window Maximum input tokens this model can process at once | 200K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 100K tokens |
Release Date When this model first became publicly available | February 12, 2025 1 year ago February 12th, 2025 |
Knowledge Cutoff Latest training-data date reported by the provider | October 31, 2023 |
Pricing
| o3 Mini High | |
|---|---|
Input Token Cost Cost per million input tokens | $1.10 per million tokens |
Output Token Cost Cost per million output tokens | $4.40 per million tokens |
Web Search Cost Additional cost for each web search operation | $0.01 per search |
Cache Read Cost Cost to reuse cached input tokens | $0.55 per million tokens |
Capabilities & Features
| o3 Mini High | |
|---|---|
Input Types Supported input formats | textfile |
Output Types Supported output formats | text |
Tokenizer Text encoding system | GPT |
Key Features Advanced capabilities | ✓ Function Calling✓ Structured Output✓ Reasoning Mode✓ Content Moderation |
Reasoning Controls Defaults and configurable reasoning effort | Always enabledEffort: HighDefault: High |
Benchmarks
| o3 Mini High | |
|---|---|
Intelligence Index Overall model quality across independent evaluations | 15.6 (Artificial Analysis index; higher is better) |
Coding Index Programming performance across independent evaluations | 16.3 (Artificial Analysis index; higher is better) |
Agentic Index Ability to complete multi-step agentic tasks | 1.7 (Artificial Analysis index; higher is better) |
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