GPT 4.1 is the new flagship model from OpenAI. Huge context window (1 mln tokens), outperforms GPT-4o and GPT 4.5 across coding and does very well at understanding large contexts.
Added Sep 10, 2025
Context Window
1.0M
Max Output
32.8K
Avg output tokens (7d)
865 tokens
Input Price (Auto)
$2.00/1M
Output Price (Auto)
$8.00/1M
Cache Read (Auto)
$0.50/1M
Capabilities
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
19.4
Reasoning
GPQA Diamond
Graduate-level scientific reasoning
66.6%
Better than 50% of models compared
HLE
Humanity's Last Exam
4.6%
Better than 26% of models compared
IFBench
Instruction-following benchmark
43.0%
Better than 47% of models compared
T²-Bench Telecom
Conversational AI agents in dual-control scenarios
47.1%
Better than 52% of models compared
AA-LCR
Long context reasoning evaluation
61.0%
Better than 77% of models compared
CritPt
Research-level physics reasoning
0.0%
Coding
SciCode
Python programming for scientific computing
38.1%
Better than 69% of models compared
Terminal-Bench Hard
Agentic coding and terminal use
13.6%
Better than 51% of models compared
LiveCodeBench
Contamination-free coding benchmark
45.7%
Better than 52% of models compared
Math
AIME 2025
American Invitational Mathematics Examination 2025
34.7%
Better than 35% of models compared
AIME
American Invitational Mathematics Examination
43.7%
Better than 65% of models compared
Math-500
Diverse mathematical problem solving benchmark
91.3%
Better than 67% of models compared
Knowledge
MMLU-Pro
Professional and academic subject knowledge
80.6%
Better than 70% of models compared
AA-Omniscience Accuracy
Proportion of correctly answered questions
27.8%
AA-Omniscience Hallucination Rate
Rate of incorrect answers among non-correct responses
93.3%
Last updated Jun 28, 2026
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