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GPT-4o-mini

by OpenAI · Released Jul 2024

Multimodal
27.5
avg score
Rank #258
Compare
Better than 17% of all models
Context
128K tokens (~64 books)
Input $/1M
$0.15
Output $/1M
$0.60
Type
multimodal
License
Proprietary
Benchmarks
22 tested
Data as of
About

GPT-4o mini is OpenAI's newest model after GPT-4 Omni, supporting both text and image inputs with text outputs. As their most advanced small model, it is many multiples more affordable...

Tested on 22 benchmarks · BenchGecko score 27.5. Top scores: GSM8K (91.3%), PIQA (77.4%), MMLU (75.7%).

Capabilities
coding
23.7
#174 globally
reasoning
0.0
#229 globally
math
37.9
#161 globally
knowledge
36.4
#218 globally
general
13.1
#186 globally
multimodal
53.1
#7 globally
Benchmark Scores
Compare All
Tested on 22 benchmarks · Ranked across 6 categories
Score Distribution (all 312 models)
0255075100
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Aider — Code Editing

Code editing benchmark from the Aider project. Measures ability to apply targeted code changes while maintaining correctness and style.

55.6·
WeirdML

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

11.8·
Aider polyglot

Multi-language code editing from Aider. Tests editing ability across Python, JavaScript, TypeScript, Java, C++, Go, Rust, and more.

3.6·
SimpleBench

Deceptively simple questions that humans find easy but AI models often get wrong. Tests common sense and reasoning gaps.

0.0·
ARC-AGI-2

ARC-AGI 2, harder sequel to ARC. More complex abstract reasoning patterns that test generalization ability beyond training data.

0.0·
GSM8K

Grade school math word problems. 8,500 problems testing multi-step arithmetic reasoning. A foundational math benchmark.

91.3·
MATH level 5

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

52.6·
OTIS Mock AIME 2024-2025

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

6.8·
Excellent (85+) Good (70-85) Average (50-70) Below (<50)
Links
Documentation
Community
BenchGecko API
gpt-4o-mini
Specifications
  • Typemultimodal
  • Context128K tokens (~64 books)
  • ReleasedJul 2024
  • LicenseProprietary
  • StatusActive
  • Cost / Message~$0.001
Available On
OpenAI logoOpenAI$0.15
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GPT-4o-mini is a proprietary multimodal AI model by OpenAI, released in July 2024. It has an average benchmark score of 27.5. Context window: 128K tokens.

Key facts · as of 2026-10-05

  • GPT-4o-mini by OpenAI. BenchGecko score 27.5, rank 258 of 312 scored models (normalized average of public benchmark scores).
  • List price $0.15 input · $0.60 output per 1M tokens (as of 2026-10-05).
  • Sold by 3 providers (as of 2026-10-05): Azure $0.15 in / $0.60 out · OpenAI $0.15 in / $0.60 out · Azure $0.17 in / $0.66 out. Every provider

How to cite · data as of 2026-10-05

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