OpenAI o4-mini
OpenAI o4-mini. The next generation of OpenAI models.
- Reasoning
- Vision by description
- Tool Calling
- Structured Output
Added Apr 16, 2025
Pricing
Auto routing · per 1M tokens- Input
- $1.10
- Output
- $4.40
- Cache read
- $0.55
Specifications
- Context window
- 200K
- Max output
- 100K
- Avg output (7d)
- 814 tokens
- Longer than 62% of models
Benchmarks
Benchmarks
Sourced from Artificial Analysis.
Intelligence Index
16.7
Agentic work
T²-Bench Telecom (legacy)
Legacy fallback · Conversational AI agents in dual-control scenarios
55.6%
Better than 55% of models compared
Document reasoning
AA-LCR v1.1
Long context reasoning with updated grading
61.0%
Better than 52% of models compared
Reasoning
HLE
Humanity's Last Exam
16.5%
Better than 64% of models compared
IFBench
Instruction-following benchmark
68.7%
Better than 82% of models compared
Coding
Terminal-Bench Hard (legacy)
Legacy fallback · Agentic coding and terminal use
15.2%
Better than 52% of models compared
LiveCodeBench
Contamination-free coding benchmark
85.9%
Better than 96% of models compared
Math
AIME 2025
American Invitational Mathematics Examination 2025
90.7%
Better than 91% of models compared
AIME
American Invitational Mathematics Examination
94.0%
Better than 98% of models compared
Math-500
Diverse mathematical problem solving benchmark
98.9%
Better than 97% of models compared
Knowledge
MMLU-Pro
Professional and academic subject knowledge
83.2%
Better than 83% of models compared
Legacy benchmarks
GPQA Diamond (legacy)
Graduate-level scientific reasoning
78.4%
Better than 64% of models compared
AA-LCR (unversioned / legacy)
Long context reasoning evaluation
61.0%
Better than 52% of models compared
Last updated Oct 3, 2026
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