OpenAI's precusor to ChatGPT-4o. Great on English text and code, with significant improvements on text in non-English languages.
Context Window
128.0K
Max Output
16.4K
Input Price (Auto)
$2.50/1M
Output Price (Auto)
$10.00/1M
Cache Read (Auto)
$1.25/1M
Capabilities
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
18.6
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Coding Index
16.6
Agentic Index
8.4
GPQA Diamond
Graduate-level scientific reasoning
52.1%
Better than 37% of models compared
HLE
Humanity's Last Exam
2.9%
Better than 1% of models compared
IFBench
Instruction-following benchmark
36.0%
Better than 33% of models compared
T²-Bench Telecom
Conversational AI agents in dual-control scenarios
28.9%
Better than 42% of models compared
AA-LCR
Long context reasoning evaluation
35.0%
Better than 55% of models compared
GDPval-AA
Economically valuable tasks
0.0%
Better than 18% of models compared
CritPt
Research-level physics reasoning
0.0%
Better than 36% of models compared
SciCode
Python programming for scientific computing
33.1%
Better than 59% of models compared
Terminal-Bench Hard
Agentic coding and terminal use
8.3%
Better than 48% 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
AA-Omniscience Accuracy
Proportion of correctly answered questions
19.7%
Better than 59% of models compared
AA-Omniscience Hallucination Rate
Rate of incorrect answers among non-correct responses
37.9%
Better than 96% of models compared
Last updated May 15, 2026
Artificial AnalysisLiveCodeBench
Contamination-free coding benchmark
31.7%
Better than 38% of models compared
