NEWHow AI models draw the world map · Gecko Tests
Beta
Home/Models/GPT-5.4 Mini
OpenAI logo

GPT-5.4 Mini

by OpenAI · Released Mar 2026

Multimodal
35.7
avg score
Rank #227
Compare
Better than 29% of all models
Context
400K tokens (~200 books)
Input $/1M
$0.75
Output $/1M
$4.50
Type
multimodal
License
Proprietary
Benchmarks
29 tested
Data as of
About

GPT-5.4 mini brings the core capabilities of GPT-5.4 to a faster, more efficient model optimized for high-throughput workloads. It supports text and image inputs with strong performance across reasoning, coding,...

Tested on 29 benchmarks · BenchGecko score 35.7. Top scores: OTIS Mock AIME 2024-2025 (88.9%), GPQA diamond (82.5%), LiveBench — Coding (74.7%).

Looking for similar performance at lower cost?
Mistral Nemo scores 35.4 (99% as good) at $0.02/1M input · 97% cheaper
Capabilities
coding
44.8
#122 globally
reasoning
38.0
#113 globally
math
36.2
#178 globally
knowledge
40.8
#205 globally
agentic
24.6
#55 globally
general
34.4
#115 globally
language
30.3
#145 globally
speed
42.1
#58 globally
Benchmark Scores
Compare All
Tested on 29 benchmarks · Ranked across 8 categories
Score Distribution (all 319 models)
0255075100
▲ You are here
codingCompare coding →
LiveBench — Coding

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

74.7·
WeirdML

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

60.3·
Frontiercode
27.0·
reasoningCompare reasoning →
ARC-AGI

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

63.7·
LiveBench — Data Analysis

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

47.4·
LiveBench — Reasoning

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

21.9·
mathCompare math →
OTIS Mock AIME 2024-2025

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

88.9·
FrontierMath-Tiers-1-3-v2-Private
51.2·
LiveBench — Mathematics

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

37.0·
Quick compare:Mistral AI logovs Mistral Large 2411Anthropic logovs Claude Haiku 4.5Meta logovs Llama 3.2 3B Instruct
Excellent (85+) Good (70-85) Average (50-70) Below (<50)
Model Family · OpenAI GPT-5.4
Mar 2026
64.8
$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
35.7-29.1
$0.75/M in(-7.25)400Kctx(+128K)29 benchmarks
Mar 2026
$0.38/M in(-0.38)400Kctx
Mar 2026
28.8-6.9
$0.20/M in(-0.17)400Kctx27 benchmarks
Mar 2026
$0.10/M in(-0.10)400Kctx
Mar 2026
80.2+51.4
$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 →
Similar Models
Mistral AI logo
Mistral Large 2411
Mistral AI
35.8$2.00/1M
Anthropic logo
Claude Haiku 4.5
Anthropic
35.8$1.00/1M
Meta logo
Llama 3.2 3B Instruct
Meta
35.4$0.05/1M
Links
Info
OpenAIPricing explorerDevelopers · API
Research
Technical Report
Documentation
API DocsPlayground
Community
@OpenAI
BenchGecko API
gpt-5-4-mini
Specifications
  • Typemultimodal
  • Context400K tokens (~200 books)
  • ReleasedMar 2026
  • LicenseProprietary
  • StatusActive
  • Cost / Message~$0.006
Available On
OpenAI logoOpenAI$0.75
Categories
codingreasoningmathknowledgeagenticgenerallanguagespeed
Learn More
context-windowtransformertokens
Share & Export
Tweet
Related Models
Mistral AI logoMistral Large 2411
35.8
Anthropic logoClaude Haiku 4.5
35.8
Meta logoLlama 3.2 3B Instruct
35.4
Mistral AI logoMistral Nemo
35.4
GPT-5.4 Mini is a proprietary multimodal AI model by OpenAI, released in March 2026. It has an average benchmark score of 35.7. Context window: 400K tokens.

Related Models

Mistral Large 2411 · Mistral AIClaude Haiku 4.5 · AnthropicLlama 3.2 3B Instruct · MetaMistral Nemo · Mistral AIQwen2.5-Max · Alibaba Qwen

Benchmarks

OTIS Mock AIME 2024-2025GPQA diamondLiveBench — CodingDtbenchARC-AGI

Related Pages

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

Key facts · as of 2026-10-16

  • GPT-5.4 Mini by OpenAI. BenchGecko score 35.7, rank 227 of 319 scored models (normalized average of public benchmark scores).
  • List price $0.75 input · $4.50 output per 1M tokens (as of 2026-10-16).
  • Sold by 5 providers (as of 2026-10-16): OpenAI $0.38 in / $2.25 out · Azure $0.75 in / $4.50 out · OpenAI $0.75 in / $4.50 out · Azure $0.82 in / $4.95 out · OpenAI $1.50 in / $9.00 out. Every provider

How to cite · data as of 2026-10-16

GPT-5.4 Mini · benchmarks, pricing and providers. BenchGecko, data as of 2026-10-16. https://benchgecko.ai/model/gpt-5-4-mini

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