Model Comparison

GPT-4o mini vs GPT-4o

GPT-4o significantly outperforms across most benchmarks. GPT-4o mini is 16.7x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

GPT-4o mini outperforms in 0 benchmarks, while GPT-4o is better at 5 benchmarks (GPQA, MathVista, MMLU, MMMU, SWE-Bench Verified).

GPT-4o significantly outperforms across most benchmarks.

Mon Apr 20 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GPT-4o mini costs less

For input processing, GPT-4o mini ($0.15/1M tokens) is 16.7x cheaper than GPT-4o ($2.50/1M tokens).

For output processing, GPT-4o mini ($0.60/1M tokens) is 16.7x cheaper than GPT-4o ($10.00/1M tokens).

In conclusion, GPT-4o is more expensive than GPT-4o mini.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Mon Apr 20 2026 • llm-stats.com
OpenAI
GPT-4o mini
Input tokens$0.15
Output tokens$0.60
Best providerAzure
OpenAI
GPT-4o
Input tokens$2.50
Output tokens$10.00
Best providerAzure
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Both models have the same input context window of 128,000 tokens. Both models can generate responses up to 16,384 tokens.

OpenAI
GPT-4o mini
Input128,000 tokens
Output16,384 tokens
OpenAI
GPT-4o
Input128,000 tokens
Output16,384 tokens
Mon Apr 20 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GPT-4o mini and GPT-4o support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

GPT-4o mini

Text
Images
Audio
Video

GPT-4o

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

GPT-4o mini

Proprietary

Closed source

GPT-4o

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-4o mini was released on 2024-07-18, while GPT-4o was released on 2024-08-06.

GPT-4o is 1 month newer than GPT-4o mini.

GPT-4o mini

Jul 18, 2024

1.8 years ago

GPT-4o

Aug 6, 2024

1.7 years ago

2w newer

Knowledge Cutoff

When training data ends

GPT-4o mini has a documented knowledge cutoff of 2023-10-01, while GPT-4o's cutoff date is not specified.

We can confirm GPT-4o mini's training data extends to 2023-10-01, but cannot make a direct comparison without GPT-4o's cutoff date.

GPT-4o mini

Oct 2023

GPT-4o

—

Provider Availability

GPT-4o mini is available from Azure. GPT-4o is available from Azure, OpenAI.

GPT-4o mini

azure logo
Azure
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M

GPT-4o

azure logo
Azure
Input Price:Input: $2.50/1MOutput Price:Output: $10.00/1M
openai logo
OpenAI
Input Price:Input: $2.50/1MOutput Price:Output: $10.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

OpenAI
Less expensive input tokens
Less expensive output tokens
OpenAI
Higher GPQA score (70.1% vs 40.2%)
Higher MathVista score (61.4% vs 56.7%)
Higher MMLU score (85.7% vs 82.0%)
Higher MMMU score (72.2% vs 59.4%)
Higher SWE-Bench Verified score (33.2% vs 8.7%)

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-4o mini
OpenAI
GPT-4o

FAQ

Common questions about GPT-4o mini vs GPT-4o

GPT-4o significantly outperforms across most benchmarks. GPT-4o mini is made by OpenAI and GPT-4o is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
GPT-4o mini scores HumanEval: 87.2%, MGSM: 87.0%, MMLU: 82.0%, DROP: 79.7%, MATH: 70.2%. GPT-4o scores AI2D: 94.2%, DocVQA: 92.8%, ChartQA: 85.7%, MMLU: 85.7%, CharXiv-D: 85.3%.
GPT-4o mini is 16.7x cheaper for input tokens. GPT-4o mini costs $0.15/M input and $0.60/M output via azure. GPT-4o costs $2.50/M input and $10.00/M output via azure.
GPT-4o mini supports 128K tokens and GPT-4o supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include input pricing ($0.15 vs $2.50/M). See the full comparison above for benchmark-by-benchmark results.