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)
35 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
12.7
Agentic work
T²-Bench Telecom (legacy)
Legacy fallback · Conversational AI agents in dual-control scenarios
47.1%
Better than 51% of models compared
Document reasoning
AA-LCR v1.1
Long context reasoning with updated grading
68.3%
Better than 64% of models compared
Reasoning
HLE
Humanity's Last Exam
4.2%
Better than 17% of models compared
IFBench
Instruction-following benchmark
43.0%
Better than 46% of models compared
CritPt
Research-level physics reasoning
0.0%
Coding
Terminal-Bench Hard (legacy)
Legacy fallback · Agentic coding and terminal use
13.6%
Better than 50% 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%
Legacy benchmarks
GPQA Diamond (legacy)
Graduate-level scientific reasoning
66.6%
Better than 43% of models compared
AA-LCR (unversioned / legacy)
Long context reasoning evaluation
68.3%
Better than 64% of models compared
Last updated Sep 15, 2026
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