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GPT-5 Nano

by OpenAI · Released Aug 2025

Multimodal
37.7
avg score
Rank #208
Compare
Better than 33% of all models
Context
400K tokens (~200 books)
Input $/1M
$0.05
Output $/1M
$0.40
Type
multimodal
License
Proprietary
Benchmarks
33 tested
Data as of
About

GPT-5-Nano is the smallest and fastest variant in the GPT-5 system, optimized for developer tools, rapid interactions, and ultra-low latency environments. While limited in reasoning depth compared to its larger...

Tested on 33 benchmarks · BenchGecko score 37.7. Top scores: MATH level 5 (95.2%), HELM — IFEval (93.2%), OTIS Mock AIME 2024-2025 (81.1%).

Capabilities
coding
38.1
#144 globally
reasoning
36.7
#108 globally
math
41.1
#151 globally
knowledge
42.3
#184 globally
general
14.8
#180 globally
language
64.3
#97 globally
Benchmark Scores
Compare All
Tested on 33 benchmarks · Ranked across 6 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.

67.4·
WeirdML

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

38.1·
SWE-Bench Verified (Bash Only)

SWE-bench Verified solved using only bash commands, no specialized frameworks. Tests raw terminal-based problem solving.

34.8·
reasoningCompare reasoning →
HELM — WildBench

Stanford HELM WildBench evaluation. Tests reasoning on challenging real-world tasks.

80.6·
LiveBench — Data Analysis

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

44.3·
LiveBench — Reasoning

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

35.5·
mathCompare math →
MATH level 5

Competition-level math from AMC, AIME, and olympiad problems. Level 5 is the hardest tier, requiring creative problem-solving.

95.2·
OTIS Mock AIME 2024-2025

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

81.1·
LiveBench — Mathematics

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

64.7·
Quick compare:Anthropic logovs Claude 2nousresearch logovs Hermes 2 Pro - Llama-3 8BOpenAI logovs GPT-4.1
Excellent (85+) Good (70-85) Average (50-70) Below (<50)
Model Family · OpenAI GPT-5
Aug 2025
60.4
$1.25/M in400Kctx41 benchmarks
Aug 2025
$0.63/M in(-0.63)400Kctx
Aug 2025
89.0+28.6
$1.25/M in(+0.63)128Kctx(-272K)7 benchmarks
Sep 2025
$1.25/M in400Kctx(+272K)
Sep 2025
$0.63/M in(-0.63)400Kctx
Oct 2025
$10.00/M in(+9.38)400Kctx
Oct 2025
$2.50/M in(-7.50)400Kctx
Aug 2025
56.0-33.0
$0.25/M in(-2.25)400Kctx36 benchmarks
Aug 2025
$0.13/M in(-0.13)400Kctx
Aug 2025
37.7-18.3
$0.05/M in(-0.07)400Kctx33 benchmarks
Aug 2025
$0.03/M in(-0.03)400Kctx
Oct 2025
48.7+11.0
$15.00/M in(+14.97)400Kctx10 benchmarks
Oct 2025
$7.50/M in(-7.50)400Kctx
See the full GPT-5 family →
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37.9$2.00/1M
Links
Info
OpenAIPricing explorerDevelopers · API
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@OpenAI
BenchGecko API
gpt-5-nano
Specifications
  • Typemultimodal
  • Context400K tokens (~200 books)
  • ReleasedAug 2025
  • LicenseProprietary
  • StatusActive
  • Cost / Message~$0.001
Available On
OpenAI logoOpenAI$0.05
Categories
codingreasoningmathknowledgegenerallanguage
Learn More
context-windowtransformertokens
Share & Export
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Anthropic logoClaude 2
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GPT-5 Nano is a proprietary multimodal AI model by OpenAI, released in August 2025. It has an average benchmark score of 37.7. Context window: 400K tokens.

Related Models

Claude 2 · AnthropicHermes 2 Pro - Llama-3 8B · nousresearchGPT-4.1 · OpenAIGLM 4 32B · z-aiGemini 2.5 Flash · Google DeepMind

Benchmarks

MATH level 5HELM — IFEvalOTIS Mock AIME 2024-2025HELM — WildBenchHELM — MMLU-Pro

Related Pages

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

Key facts · as of 2026-10-05

  • GPT-5 Nano by OpenAI. BenchGecko score 37.7, rank 208 of 312 scored models (normalized average of public benchmark scores).
  • List price $0.0500 input · $0.40 output per 1M tokens (as of 2026-10-05).
  • Sold by 4 providers (as of 2026-10-05): OpenAI $0.0250 in / $0.20 out · Azure $0.0500 in / $0.40 out · OpenAI $0.0500 in / $0.40 out · Azure $0.0550 in / $0.44 out. Every provider

How to cite · data as of 2026-10-05

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