o3-mini
OpenAI · 2 thinking configurations
Intelligence11.0
Input / 1M$1.10
Output / 1M$4.40
Context200K
Tariff: OpenAI · Source: artificial-analysis · USD per million tokens
Thinking configuration
What does more thinking buy you?
Compare this model’s measured thinking configurations.
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Efficient frontier: best measured score at each cost2 measured configurations · 0 without both values
Selected: thinking high · Click a point to switch configuration
OpenAI o3-mini is a cost-efficient language model optimized for STEM reasoning tasks, particularly excelling in science, mathematics, and coding. This model supports the `reasoning_effort` parameter, which can be set to...
Intelligence IndexArtificial Analysis composite index, not a percentage. Different versions of the index are not directly comparable.
11.0 pointsGPQA DiamondGraduate-level scientific questions. Measures specialist reasoning rather than web-search quality.
77.3 %Humanity’s Last ExamDifficult questions across many disciplines, compared under the same evaluation setup.
12.0 %SciCodeCode generation for scientific research problems.
42.8 %Terminal-Bench 2.1Agent tasks in a terminal environment. Results also depend on the evaluation harness.
4.5 %τ²-BenchTool use and interaction in assistance scenarios. Does not replace an evaluation of your integration.
31.3 %IFBenchVerifiable instruction following. A proxy for precision rather than a benchmark of creative style.
67.1 %Omniscience accuracyFactual accuracy in Artificial Analysis's Omniscience evaluation.
21.3 %Specifications from the catalog
Inputtext, file
Outputtext
Tool callingYes
Structured outputYes
Speed202.6 tok/s
First token20.74 s
Maximum output100K
Catalog listing date2025-01-31