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GPT-5.4 Nano

by OpenAI · Released Mar 2026

Multimodal
28.1
avg score
Rank #256
Compare
Better than 18% of all models
Context
400K tokens (~200 books)
Input $/1M
$0.20
Output $/1M
$1.25
Type
multimodal
License
Proprietary
Benchmarks
27 tested
Data as of
About

GPT-5.4 nano is the most lightweight and cost-efficient variant of the GPT-5.4 family, optimized for speed-critical and high-volume tasks. It supports text and image inputs and is designed for low-latency...

Tested on 27 benchmarks · BenchGecko score 28.1. Top scores: OTIS Mock AIME 2024-2025 (87.8%), GPQA diamond (71.3%), Dtbench (67.1%).

Looking for similar performance at lower cost?
Llama 3.3 70B Instruct (free) scores 28.9 (103% as good) at $0.00/1M input · 100% cheaper
Capabilities
coding
46.1
#110 globally
reasoning
28.4
#125 globally
math
35.5
#171 globally
knowledge
35.4
#224 globally
agentic
16.9
#52 globally
speed
40.6
#60 globally
general
28.9
#131 globally
language
22.6
#156 globally
Benchmark Scores
Compare All
Tested on 27 benchmarks · Ranked across 8 categories
Score Distribution (all 312 models)
0255075100
▲ You are here
codingCompare coding →
LiveBench — Coding

Regularly refreshed coding problems that avoid data contamination. New problems added monthly to prevent memorization.

61.9·
WeirdML

Unusual and adversarial machine learning challenges. Tests robustness of reasoning about edge cases in ML systems.

49.2·
LiveBench — Agentic Coding

LiveBench coding tasks that require multi-step reasoning and tool use. Tests planning and execution of complex coding workflows.

27.1·
reasoningCompare reasoning →
ARC-AGI

Abstraction and Reasoning Corpus. Tests fluid intelligence through novel visual pattern recognition puzzles. Core measure of general intelligence.

51.5·
LiveBench — Data Analysis

Fresh data analysis tasks testing ability to interpret tables, charts, and statistical data.

39.1·
LiveBench — Reasoning

Regularly refreshed reasoning problems testing logical deduction, spatial reasoning, and analytical thinking.

17.4·
mathCompare math →
OTIS Mock AIME 2024-2025

Mock AIME (American Invitational Mathematics Exam) problems from OTIS. Tests mathematical competition performance.

87.8·
FrontierMath-Tiers-1-3-v2-Private
44.9·
LiveBench — Mathematics

Regularly updated math problems that test numerical reasoning, algebra, calculus, and combinatorics.

36.0·
Quick compare:Anthropic logovs Claude 3 Opusz-ai logovs GLM 4.6VOpenAI logovs GPT-4o-mini
Excellent (85+) Good (70-85) Average (50-70) Below (<50)
Model Family · OpenAI GPT-5.4
Mar 2026
66.0
$2.50/M in1.1Mctx34 benchmarks
Mar 2026
$1.25/M in(-1.25)1.1Mctx
Apr 2026
$8.00/M in(+6.75)272Kctx(-778K)
Mar 2026
35.9-30.1
$0.75/M in(-7.25)400Kctx(+128K)29 benchmarks
Mar 2026
$0.38/M in(-0.38)400Kctx
Mar 2026
28.1-7.8
$0.20/M in(-0.17)400Kctx27 benchmarks
Mar 2026
$0.10/M in(-0.10)400Kctx
Mar 2026
80.7+52.6
$30.00/M in(+29.90)1.1Mctx(+650K)12 benchmarks
Mar 2026
$15.00/M in(-15)1.1Mctx
See the full GPT-5.4 family →
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27.5$0.15/1M
Links
Info
OpenAIPricing explorerDevelopers · API
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BenchGecko API
gpt-5-4-nano
Specifications
  • Typemultimodal
  • Context400K tokens (~200 books)
  • ReleasedMar 2026
  • LicenseProprietary
  • StatusActive
  • Cost / Message~$0.002
Available On
OpenAI logoOpenAI$0.20
Categories
codingreasoningmathknowledgeagenticspeedgenerallanguage
Learn More
context-windowtransformertokens
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Anthropic logoClaude 3 Opus
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z-ai logoGLM 4.6V
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OpenAI logoGPT-4o-mini
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Mistral AI logoDevstral 2 2512
28.8
GPT-5.4 Nano is a proprietary multimodal AI model by OpenAI, released in March 2026. It has an average benchmark score of 28.1. Context window: 400K tokens.

Related Models

Claude 3 Opus · AnthropicGLM 4.6V · z-aiGPT-4o-mini · OpenAIDevstral 2 2512 · Mistral AILlama 3.3 70B Instruct (free) · Meta

Benchmarks

OTIS Mock AIME 2024-2025GPQA diamondDtbenchLiveBench — CodingArtificial Analysis — Coding Index

Related Pages

OpenAI · ProviderOpenAI · EconomyAll ModelsCompare ModelsPricingDevelopers · APIContext Window · Glossary

Key facts · as of 2026-10-05

  • GPT-5.4 Nano by OpenAI. BenchGecko score 28.1, rank 255 of 312 scored models (normalized average of public benchmark scores).
  • List price $0.20 input · $1.25 output per 1M tokens (as of 2026-10-05).
  • Sold by 4 providers (as of 2026-10-05): OpenAI $0.10 in / $0.63 out · Azure $0.20 in / $1.25 out · OpenAI $0.20 in / $1.25 out · Azure $0.22 in / $1.38 out. Every provider

How to cite · data as of 2026-10-05

GPT-5.4 Nano · benchmarks, pricing and providers. BenchGecko, data as of 2026-10-05. https://benchgecko.ai/model/gpt-5-4-nano

Credit "Source: BenchGecko" with a link. Prices per provider and Gecko Tests are BenchGecko data (CC BY 4.0); benchmark scores keep their original source, listed in the JSON. JSON · llms.txt · MCP