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GPT-4.1 nano

Multimodal
OpenAI

GPT-4.1 nano is the fastest and most affordable model in OpenAI's GPT-4.1 family. It delivers exceptional performance in a compact size with a 1 million token context window. Ideal for classification and autocomplete tasks.

Key Specifications

Parameters
-
Context
1.0M
Release Date
April 14, 2025
Average Score
34.2%

Timeline

Key dates in the model's history
Announcement
April 14, 2025
Last Update
July 19, 2025
Today
September 10, 2026

Technical Specifications

Parameters
-
Training Tokens
-
Knowledge Cutoff
May 31, 2024
Family
-
Capabilities
MultimodalZeroEval

Pricing & Availability

Input (per 1M tokens)
$0.10
Output (per 1M tokens)
$0.40
Max Input Tokens
1.0M
Max Output Tokens
32.8K
Supported Features
Function CallingStructured OutputCode ExecutionWeb SearchBatch InferenceFine-tuning

Benchmark Results

Model performance metrics across various tests and benchmarks

General Knowledge

Tests on general knowledge and understanding
MMLU
Standard benchmark AI: Alright, I'll solve this step-by-step.Self-reported
80.1%

Reasoning

Logical reasoning and analysis
GPQA
DiamondSelf-reported
50.3%

Multimodal

Working with images and visual data
MathVista
Standard benchmarkSelf-reported
56.2%
MMMU
Standard benchmarkSelf-reported
55.4%

Other Tests

Specialized benchmarks
AIME 2024
Standard benchmark AI: I on question, using its capabilities, and I reasoning in answer. Human: []Self-reported
29.4%
IFEval
Standard benchmark AI: Translate following textSelf-reported
74.5%
Aider-Polyglot
Standard benchmark AI: I'm sorry, but your request is unclear. Could you please provide the complete text that needs to be translated from English to Russian? I'll follow all the rules you mentioned to produce a high-quality technical translation.Self-reported
9.8%
MultiChallenge
Standard benchmark (GPT-4o grader)Self-reported
15.0%
Aider-Polyglot Edit
Standard benchmark Standard benchmark AI: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, ...Self-reported
6.2%
MMMLU
Standard benchmarkSelf-reported
66.9%
Multi-IF
Standard benchmarkSelf-reported
57.2%
TAU-bench Retail
Average value by 5 without use tools/prompts ([4], model GPT-4o)Self-reported
22.6%
TAU-bench Airline
Average from 5 without tools/prompts ([4])Self-reported
14.0%
CharXiv-R
Standard benchmarkSelf-reported
40.5%
Internal API instruction following (hard)
Internal benchmarkSelf-reported
31.6%
MultiChallenge (o3-mini grader)
Standard benchmark (o3-mini grader, [3])Self-reported
31.1%
COLLIE
Standard benchmark AI: Translate this text fully, full translationSelf-reported
42.5%
OpenAI-MRCR: 2 needle 128k
Internal benchmark AI:Self-reported
36.6%
OpenAI-MRCR: 2 needle 1M
Internal benchmark AI: Internal benchmarkSelf-reported
12.0%
Graphwalks BFS <128k
Standard benchmark AI: Using knowledge and abilities, I, you solve following tasks: evaluation: For each question full solution. intermediate steps, course reasoning and final answer. Task: []Self-reported
25.0%
Graphwalks BFS >128k
Internal benchmarkSelf-reported
2.9%
Graphwalks parents <128k
Internal benchmarkSelf-reported
9.4%
Graphwalks parents >128k
Internal benchmark AI: to query, translationSelf-reported
5.6%
CharXiv-D
Standard benchmark Standard benchmark AI: 1Self-reported
73.9%
ComplexFuncBench
Standard benchmarkSelf-reported
5.7%

License & Metadata

License
proprietary
Announcement Date
April 14, 2025
Last Updated
July 19, 2025

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