o3 Mini High
o3-mini-highOpenAI o3-mini-high is the same model as [o3-mini](/openai/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... Built by OpenAI.
Prices updated
Input price
$1.10
per 1M tokens · Standard
Output price
$4.40
per 1M tokens · Standard
Input limit
200K
tokens
Output limit
100K
tokens
Input formats
Output formats
o3 Mini High price history
2 price records since 9/25/2026
o3 Mini High cost calculator
$44/month
Standard pricing
Overview
What is o3 Mini High?
o3 Mini High is a text & reasoning model from OpenAI. OpenAI o3-mini-high is the same model as [o3-mini](/openai/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... Its 200K context window and $1.10 input price make it a candidate for quality-focused production applications.
Benchmarks
o3 Mini High benchmarks & speed
How o3 Mini High scores on standardized evaluations, and where it lands among every model we track.
11.0
Intelligence Index
206tok/s
Output speed
Reasoning
GPQA Diamond
77.3%
Graduate-level scientific reasoning · top 58%
HLE
12.0%
Humanity's Last Exam · top 62%
Coding
SciCode
42.8%
Python for scientific computing · top 75%
Latency & design
- Time to first token
- 15.7s
Independent scores from Artificial Analysis and DesignArena · updated 10/5/2026. Higher is better; ranks compare against every model we track with that score.
Rates
o3 Mini High pricing
Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.
Input · Standard
$1.10
Per 1M tokens
Cached input · Standard
$0.55
Per 1M tokens
Capabilities
o3 Mini High Tools
Tools available when using o3 Mini High through supported provider APIs.
Function calling
Supported
Structured outputs
Supported
JSON mode
Supported
Reasoning
Supported
Built-in web search
Not supported
Log probabilities
Not supported
Deterministic seed
Supported
Parallel tool calls
Not supported
Prompt caching
Supported
Strengths and limitations
Strengths
- Measured results (AA Intelligence 11) position it for demanding production work.
- 200K context supports large documents, repositories and extended conversations.
- Supports text & reasoning workloads in one model.
Limitations
- Generated tokens cost 4× more than input tokens, which matters for verbose responses.
- Large context capacity does not guarantee consistent retrieval across the entire prompt.
- Arena Elo and MMLU-Pro are directional; test accuracy, latency and reliability on your own workload before committing.
Arena Elo, MMLU-Pro and pricing figures are illustrative; validate current vendor terms before purchase.
Same provider