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GPT-5.4 Nano

by OpenAI · Released Mar 2026

Multimodal
29.4
avg score
Rank #220
Compare
Better than 20% of all models
Context
400K tokens (~200 books)
Input $/1M
$0.20
Output $/1M
$1.25
Type
multimodal
License
Proprietary
Benchmarks
23 tested
Data updated today
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 23 benchmarks with 33.6% average. Top scores: OTIS Mock AIME 2024-2025 (87.8%), GPQA diamond (71.3%), LiveBench — Coding (61.9%).

Looking for similar performance at lower cost?
Hunyuan A13B Instruct scores 29.3 (100% as good) at $0.14/1M input · 30% cheaper
Capabilities
coding
46.1
#98 globally
reasoning
28.4
#108 globally
math
35.5
#141 globally
knowledge
36.4
#191 globally
agentic
16.9
#31 globally
speed
67.7
#31 globally
language
22.6
#154 globally
Benchmark Scores
Compare All
Tested on 23 benchmarks · Ranked across 7 categories
Score Distribution (all 274 models)
0255075100
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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
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
OTIS Mock AIME 2024-2025

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

87.8
LiveBench — Mathematics

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

36.0
Excellent (85+) Good (70-85) Average (50-70) Below (<50)
Recently Happened
GPT-5.4 Nano launched on OpenAI
Mar 31, 2026
Links
Documentation
Community
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
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GPT-5.4 Nano is a proprietary multimodal AI model by OpenAI, released in March 2026. It has an average benchmark score of 29.4. Context window: 400K tokens.