Model Comparison

GPT-4o vs o3-pro

Comparing GPT-4o and o3-pro across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GPT-4o and o3-pro don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GPT-4o costs less

For input processing, GPT-4o ($2.50/1M tokens) is 8.0x cheaper than o3-pro ($20.00/1M tokens).

For output processing, GPT-4o ($10.00/1M tokens) is 8.0x cheaper than o3-pro ($80.00/1M tokens).

In conclusion, o3-pro is more expensive than GPT-4o.*

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

Lowest available price from all providers
Fri May 15 2026 • llm-stats.com
OpenAI
GPT-4o
Input tokens$2.50
Output tokens$10.00
Best providerAzure
OpenAI
o3-pro
Input tokens$20.00
Output tokens$80.00
Best providerOpenAI
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

o3-pro accepts 200,000 input tokens compared to GPT-4o's 128,000 tokens. o3-pro can generate longer responses up to 100,000 tokens, while GPT-4o is limited to 4,096 tokens.

OpenAI
GPT-4o
Input128,000 tokens
Output4,096 tokens
OpenAI
o3-pro
Input200,000 tokens
Output100,000 tokens
Fri May 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GPT-4o and o3-pro support multimodal inputs.

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

GPT-4o

Text
Images
Audio
Video

o3-pro

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

Proprietary

Closed source

o3-pro

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-4o was released on 2024-05-13, while o3-pro was released on 2025-06-10.

o3-pro is 13 months newer than GPT-4o.

GPT-4o

May 13, 2024

2.0 years ago

o3-pro

Jun 10, 2025

11 months ago

1.1yr newer

Knowledge Cutoff

When training data ends

o3-pro has a documented knowledge cutoff of 2024-05-31, while GPT-4o's cutoff date is not specified.

We can confirm o3-pro's training data extends to 2024-05-31, but cannot make a direct comparison without GPT-4o's cutoff date.

GPT-4o

—

o3-pro

May 2024

Provider Availability

GPT-4o is available from Azure, OpenAI. o3-pro is available from OpenAI.

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

o3-pro

openai logo
OpenAI
Input Price:Input: $20.00/1MOutput Price:Output: $80.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

OpenAI
Less expensive input tokens
Less expensive output tokens
OpenAI
Larger context window (200,000 tokens)
OpenAIGPT-4o
OpenAIo3-pro
Compare in Playground

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-4o
OpenAI
o3-pro

FAQ

Common questions about GPT-4o vs o3-pro.

Which is better, GPT-4o or o3-pro?

GPT-4o (OpenAI) and o3-pro (OpenAI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does GPT-4o compare to o3-pro in benchmarks?

GPT-4o scores MGSM: 90.5%, HumanEval: 90.2%, MMLU: 88.7%, DROP: 83.4%, MATH: 76.6%.

Is GPT-4o cheaper than o3-pro?

GPT-4o is 8.0x cheaper for input tokens. GPT-4o costs $2.50/M input and $10.00/M output via azure. o3-pro costs $20.00/M input and $80.00/M output via openai.

What are the context window sizes for GPT-4o and o3-pro?

GPT-4o supports 128K tokens and o3-pro supports 200K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GPT-4o and o3-pro?

Key differences include context window (128K vs 200K), input pricing ($2.50 vs $20.00/M). See the full comparison above for benchmark-by-benchmark results.