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
Avg output tokens (7d)
48 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
Agentic work
T²-Bench Telecom (legacy)
Legacy fallback · Conversational AI agents in dual-control scenarios
28.9%
Better than 36% 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
CritPt
Research-level physics reasoning
0.0%
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
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
AA-Omniscience Accuracy
Proportion of correctly answered questions
23.7%
AA-Omniscience Hallucination Rate
Rate of incorrect answers among non-correct responses
58.4%
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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