OpenAI o4-mini-high is the same model as [o4-mini](/openai/o4-mini) with reasoning_effort set to high. OpenAI o4-mini is a compact reasoning model in the o-series, optimized for fast, cost-efficient performance while retaining... 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
o4 Mini High price history
2 price records since 9/25/2026
o4 Mini High cost calculator
$44/month
Standard pricing
Overview
What is o4 Mini High?
o4 Mini High is a text & reasoning and vision model from OpenAI. OpenAI o4-mini-high is the same model as [o4-mini](/openai/o4-mini) with reasoning_effort set to high. OpenAI o4-mini is a compact reasoning model in the o-series, optimized for fast, cost-efficient performance while retaining... Its 200K context window and $1.10 input price make it a candidate for quality-focused production applications.
Rates
o4 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
$0.28
Per 1M tokens
Capabilities
o4 Mini High Tools
Tools available when using o4 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
- Priced at $1.10 input and $4.40 output per million tokens.
- 200K context supports large documents, repositories and extended conversations.
- Supports text & reasoning and vision 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
