Cheapest model in the GPT-4.1 series. Huge context window with fast throughput and low latency.
Context Window
1.0M
Max Output
32.8K
Avg output tokens (7d)
32 tokens
Input Price (Auto)
$0.10/1M
Output Price (Auto)
$0.40/1M
Cache Read (Auto)
$0.025/1M
Capabilities
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
4.1
Coding Index
11.1
Reasoning
GPQA Diamond
Graduate-level scientific reasoning
51.2%
Better than 24% of models compared
HLE
Humanity's Last Exam
3.8%
Better than 10% of models compared
IFBench
Instruction-following benchmark
32.0%
Better than 19% of models compared
T²-Bench Telecom
Conversational AI agents in dual-control scenarios
17.3%
Better than 15% of models compared
GDPval-AA
Economically valuable tasks
0.0%
CritPt
Research-level physics reasoning
0.0%
Coding
Terminal-Bench Hard
Agentic coding and terminal use
3.8%
Better than 26% of models compared
LiveCodeBench
Contamination-free coding benchmark
32.6%
Better than 39% of models compared
Math
AIME 2025
American Invitational Mathematics Examination 2025
24.0%
Better than 25% of models compared
AIME
American Invitational Mathematics Examination
23.7%
Better than 51% of models compared
Math-500
Diverse mathematical problem solving benchmark
84.8%
Better than 52% of models compared
Knowledge
MMLU-Pro
Professional and academic subject knowledge
65.7%
Better than 28% of models compared
AA-Omniscience Accuracy
Proportion of correctly answered questions
13.7%
AA-Omniscience Hallucination Rate
Rate of incorrect answers among non-correct responses
82.6%
Last updated Sep 7, 2026
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