OpenAI
Released April 14, 2025Cutoff June 2024

GPT-4.1 Nano

OpenAI GPT-4.1 nano: fastest and most cost-efficient GPT-4.1 model, 1M token context, fine-tuning and predicted outputs supported, no reasoning step.

Inputs
Image
Text
File
Outputs
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Model Overview

Capabilities, design details, and architectural traits

GPT 4.1 nano - Fastest and Most Cost-Efficient Version of GPT-4.1

GPT 4.1 nano is OpenAI's officially designated fastest and cheapest model in the GPT-4.1 family. It carries the same 1M token context window as GPT 4.1 and GPT 4.1 mini, but runs at a Very fast speed tier with an Average intelligence rating - the lowest latency point in the 4.1 generation. It produces output without a reasoning step.

TraitDetail
Speed and cost tierRated Very fast - the highest speed and lowest cost position in the entire GPT-4.1 family
Context window1,047,576 tokens (1M) at very-fast speed - no other GPT-4.1 family member combines this context size with this speed tier
Fine-tuningSupported, including supervised fine-tuning and direct preference optimization
Predicted outputsSupported - allows supplying an expected completion to accelerate responses

The Low-Latency Anchor of the GPT-4.1 Generation

OpenAI positions GPT 4.1 nano specifically for tasks that demand low latency, with its 1M context window making it suited for high-volume, latency-sensitive workloads that still need large-context handling. The combination of fine-tuning support and very-fast speed at the nano tier was not available in the prior generation's smallest model.

Benchmark Performance

Independent evaluations · Artificial Analysis

7.8%
Intelligence
11.1%
Coding Index
1.2%
Agentic Index

Accuracy & Capability Details

GPQA - Graduate Science51.2%
Humanity's Last Exam3.8%
SciCode - Scientific Coding25.9%
Instruction Following32.0%
Long Context Reasoning20.3%
τ²-Bench - Agentic Tasks17.3%
TerminalBench - System Control3.8%

Compare Models Side-by-Side

Evaluate specifications, pricing, and independent benchmark indices

Model Details
General Info
ProviderOpenAIAnthropicAnthropic
Release DateApril 14, 2025September 22, 2026September 28, 2026
Knowledge CutoffJun 2024-Jun 2026
Context & Limits
Context Window
1.0M
Best Context Window
1M1M
Pricing (per 1M tokens)
Input Pricing
$0.10
Best Input Pricing
$4$2
Output Pricing
$0.40
Best Output Pricing
$20$10
Modalities
Inputs
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Outputs
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Benchmarks (0-100)
Intelligence Index7.8
57.6
Best Intelligence Index
56.0
Coding Index11.1--
Agentic Index1.2--
GPT-4.1 Nano
Claude Opus 5.5
Claude Sonnet 5.5

Humanity's Last Exam

Extremely difficult logical reasoning and knowledge.

4%
GPT-4.1 Nano
Humanity's Last Exam
Score: 4%
GPT-4.1 Nano
61%
Claude Opus 5.5
Humanity's Last Exam
Score: 61%
Claude Opus 5.5
55%
Claude Sonnet 5.5
Humanity's Last Exam
Score: 55%
Claude Sonnet 5.5

Long Context Reasoning

Logical reasoning over long context windows.

20%
GPT-4.1 Nano
Long Context Reasoning
Score: 20%
GPT-4.1 Nano
85%
Claude Opus 5.5
Long Context Reasoning
Score: 85%
Claude Opus 5.5
83%
Claude Sonnet 5.5
Long Context Reasoning
Score: 83%
Claude Sonnet 5.5

SciCode Benchmark

Scientific coding and mathematical modeling.

26%
GPT-4.1 Nano
SciCode Benchmark
Score: 26%
GPT-4.1 Nano
67%
Claude Opus 5.5
SciCode Benchmark
Score: 67%
Claude Opus 5.5
61%
Claude Sonnet 5.5
SciCode Benchmark
Score: 61%
Claude Sonnet 5.5

Independent evaluation data provided by Artificial Analysis. To view the latest benchmarks and full details, visit their official site.

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