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)
90 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
8.4
Agentic work
T²-Bench Telecom (legacy)
Legacy fallback · Conversational AI agents in dual-control scenarios
25.1%
Better than 29% of models compared
Document reasoning
AA-LCR v1.1
Long context reasoning with updated grading
49.3%
Better than 43% of models compared
Reasoning
HLE
Humanity's Last Exam
2.4%
Better than 1% of models compared
IFBench
Instruction-following benchmark
34.3%
Better than 25% 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
30.9%
Better than 37% of models compared
Math
AIME 2025
American Invitational Mathematics Examination 2025
6.0%
Better than 9% of models compared
AIME
American Invitational Mathematics Examination
15.0%
Better than 43% of models compared
Math-500
Diverse mathematical problem solving benchmark
75.9%
Better than 38% of models compared
Knowledge
MMLU-Pro
Professional and academic subject knowledge
74.8%
Better than 47% of models compared
AA-Omniscience Accuracy
Proportion of correctly answered questions
19.9%
AA-Omniscience Hallucination Rate
Rate of incorrect answers among non-correct responses
37.9%
Legacy benchmarks
GPQA Diamond (legacy)
Graduate-level scientific reasoning
54.3%
Better than 28% of models compared
AA-LCR (unversioned / legacy)
Long context reasoning evaluation
49.3%
Better than 43% of models compared
Last updated Oct 1, 2026
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