OpenAI's flagship multimodal model, handling text, images, and audio. Exceptional at understanding context and generating human-like responses.
Added May 13, 2025
Context Window
128.0K
Max Output
16.4K
Avg output tokens (7d)
247 tokens
Input Price (Auto)
$2.50/1M
Output Price (Auto)
$10.00/1M
Cache Read (Auto)
$1.25/1M
Capabilities
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
7.7
Coding Index
13.1
Agentic work
T²-Bench Telecom (legacy)
Legacy fallback · Conversational AI agents in dual-control scenarios
28.9%
Better than 36% of models compared
GDPval-AA v2
Economically valuable tasks (Elo)
189 Elo
Better than 10% of models compared
Document reasoning
AA-LCR v1.1
Long context reasoning with updated grading
41.0%
Better than 40% of models compared
Reasoning
HLE
Humanity's Last Exam
2.3%
Better than 0% of models compared
IFBench
Instruction-following benchmark
36.0%
Better than 27% of models compared
Coding
Terminal-Bench Hard (legacy)
Legacy fallback · Agentic coding and terminal use
8.3%
Better than 42% of models compared
LiveCodeBench
Contamination-free coding benchmark
31.7%
Better than 38% of models compared
Math
AIME 2025
American Invitational Mathematics Examination 2025
6.0%
Better than 9% of models compared
AIME
American Invitational Mathematics Examination
11.7%
Better than 37% of models compared
Math-500
Diverse mathematical problem solving benchmark
79.5%
Better than 45% of models compared
Knowledge
MMLU-Pro
Professional and academic subject knowledge
74.8%
Better than 47% of models compared
Legacy benchmarks
GPQA Diamond (legacy)
Graduate-level scientific reasoning
52.1%
Better than 26% of models compared
AA-LCR (unversioned / legacy)
Long context reasoning evaluation
41.0%
Better than 40% of models compared
Last updated Sep 13, 2026
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