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  4. GPT-4.1 Nano
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.

Visit OpenAIAnnouncement
Inputs
Image
Text
File
Outputs
Text

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

9.6%
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 Reasoning19.3%
τ²-Bench - Agentic Tasks17.3%
TerminalBench - System Control3.8%
Specs
Context window
1.0Mtokens
Input pricing
$0.10per 1M tokens
Output pricing
$0.40per 1M tokens
Cached input
$0.03per 1M tokens

Prices in USD.

Key Capabilities & Ratings

Legal & E-Discovery80%
Financial Analysis80%
Medical Reasoning70%
Instruction Following70%
Advanced Math60%

Compare Models Side-by-Side

Evaluate specifications, pricing, and independent benchmark indices

Model Details
General Info
ProviderOpenAIAnthropicAnthropic
Release DateApril 14, 2025July 24, 2026June 9, 2026
Knowledge CutoffJun 2024May 2026-
Context & Limits
Context Window
1.0M
Best Context Window
1M1M
Pricing (per 1M tokens)
Input Pricing
$0.10
Best Input Pricing
$5$10
Output Pricing
$0.40
Best Output Pricing
$25$50
Modalities
Inputs
imagetextfile
textimage
textimagefile
Outputs
text
text
text
Benchmarks (0-100)
Intelligence Index9.6
63.1
Best Intelligence Index
62.1
Coding Index11.1
78.0
Best Coding Index
76.5
Agentic Index1.2
59.2
Best Agentic Index
56.6
GPT-4.1 Nano
Claude Opus 5
Claude Fable 5

GPQA Benchmark

Graduate-level reasoning and expert Q&A evaluation.

51%
GPT-4.1 Nano
GPQA Benchmark
Score: 51%
GPT-4.1 Nano
93%
Claude Opus 5
GPQA Benchmark
Score: 93%
Claude Opus 5
93%
Claude Fable 5
GPQA Benchmark
Score: 93%
Claude Fable 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
55%
Claude Opus 5
Humanity's Last Exam
Score: 55%
Claude Opus 5
56%
Claude Fable 5
Humanity's Last Exam
Score: 56%
Claude Fable 5

Long Context Reasoning

Logical reasoning over long context windows.

19%
GPT-4.1 Nano
Long Context Reasoning
Score: 19%
GPT-4.1 Nano
76%
Claude Opus 5
Long Context Reasoning
Score: 76%
Claude Opus 5
77%
Claude Fable 5
Long Context Reasoning
Score: 77%
Claude Fable 5

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

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