Model Comparison

GPT-4 vs GPT-4o

Both models are evenly matched across the benchmarks. GPT-4o is 8.6x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

GPT-4 outperforms in 1 benchmarks (MMLU), while GPT-4o is better at 1 benchmark (GPQA).

Both models are evenly matched across the benchmarks.

Mon Apr 06 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GPT-4o costs less

For input processing, GPT-4 ($30.00/1M tokens) is 12.0x more expensive than GPT-4o ($2.50/1M tokens).

For output processing, GPT-4 ($60.00/1M tokens) is 6.0x more expensive than GPT-4o ($10.00/1M tokens).

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

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

Lowest available price from all providers
Mon Apr 06 2026 • llm-stats.com
OpenAI
GPT-4
Input tokens$30.00
Output tokens$60.00
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

GPT-4o accepts 128,000 input tokens compared to GPT-4's 32,768 tokens. GPT-4 can generate longer responses up to 32,768 tokens, while GPT-4o is limited to 16,384 tokens.

OpenAI
GPT-4
Input32,768 tokens
Output32,768 tokens
OpenAI
GPT-4o
Input128,000 tokens
Output16,384 tokens
Mon Apr 06 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

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

GPT-4

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-4

Proprietary

Closed source

GPT-4o

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-4 was released on 2023-06-13, while GPT-4o was released on 2024-08-06.

GPT-4o is 14 months newer than GPT-4.

GPT-4

Jun 13, 2023

2.8 years ago

GPT-4o

Aug 6, 2024

1.7 years ago

1.2yr newer

Knowledge Cutoff

When training data ends

GPT-4 has a documented knowledge cutoff of 2022-12-31, while GPT-4o's cutoff date is not specified.

We can confirm GPT-4's training data extends to 2022-12-31, but cannot make a direct comparison without GPT-4o's cutoff date.

GPT-4

Dec 2022

GPT-4o

—

Provider Availability

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

GPT-4

azure logo
Azure
Input Price:Input: $30.00/1MOutput Price:Output: $60.00/1M
openai logo
OpenAI
Input Price:Input: $30.00/1MOutput Price:Output: $60.00/1M

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
Higher MMLU score (86.4% vs 85.7%)
OpenAI
Larger context window (128,000 tokens)
Less expensive input tokens
Less expensive output tokens
Higher GPQA score (70.1% vs 35.7%)

Detailed Comparison

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

FAQ

Common questions about GPT-4 vs GPT-4o

Both models are evenly matched across the benchmarks. GPT-4 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-4 scores AI2 Reasoning Challenge (ARC): 96.3%, HellaSwag: 95.3%, Uniform Bar Exam: 90.0%, SAT Math: 89.0%, LSAT: 88.0%. GPT-4o scores AI2D: 94.2%, DocVQA: 92.8%, ChartQA: 85.7%, MMLU: 85.7%, CharXiv-D: 85.3%.
GPT-4o is 12.0x cheaper for input tokens. GPT-4 costs $30.00/M input and $60.00/M output via azure. GPT-4o costs $2.50/M input and $10.00/M output via azure.
GPT-4 supports 33K 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 context window (33K vs 128K), input pricing ($30.00 vs $2.50/M). See the full comparison above for benchmark-by-benchmark results.