Model Comparison

GPT-4o vs o1-preview

o1-preview significantly outperforms across most benchmarks. GPT-4o is 6.0x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

GPT-4o outperforms in 0 benchmarks, while o1-preview is better at 5 benchmarks (AIME 2024, GPQA, MMLU, SimpleQA, SWE-Bench Verified).

o1-preview significantly outperforms across most benchmarks.

Fri Apr 10 2026 • llm-stats.com

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 6.0x cheaper than o1-preview ($15.00/1M tokens).

For output processing, GPT-4o ($10.00/1M tokens) is 6.0x cheaper than o1-preview ($60.00/1M tokens).

In conclusion, o1-preview is more expensive than GPT-4o.*

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

Lowest available price from all providers
Fri Apr 10 2026 • llm-stats.com
OpenAI
GPT-4o
Input tokens$2.50
Output tokens$10.00
Best providerAzure
OpenAI
o1-preview
Input tokens$15.00
Output tokens$60.00
Best providerOpenAI
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Context Window

Maximum input and output token capacity

Both models have the same input context window of 128,000 tokens. o1-preview can generate longer responses up to 32,768 tokens, while GPT-4o is limited to 16,384 tokens.

OpenAI
GPT-4o
Input128,000 tokens
Output16,384 tokens
OpenAI
o1-preview
Input128,000 tokens
Output32,768 tokens
Fri Apr 10 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-4o supports multimodal inputs, whereas o1-preview does not.

GPT-4o can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-4o

Text
Images
Audio
Video

o1-preview

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

o1-preview

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-4o was released on 2024-08-06, while o1-preview was released on 2024-09-12.

o1-preview is 1 month newer than GPT-4o.

GPT-4o

Aug 6, 2024

1.7 years ago

o1-preview

Sep 12, 2024

1.6 years ago

1mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

GPT-4o is available from Azure, OpenAI. o1-preview is available from OpenAI, Azure.

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

o1-preview

openai logo
OpenAI
Input Price:Input: $15.00/1MOutput Price:Output: $60.00/1M
azure logo
Azure
Input Price:Input: $16.50/1MOutput Price:Output: $66.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

OpenAI
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
OpenAI
Higher AIME 2024 score (42.0% vs 13.1%)
Higher GPQA score (73.3% vs 70.1%)
Higher MMLU score (90.8% vs 85.7%)
Higher SimpleQA score (42.4% vs 38.2%)
Higher SWE-Bench Verified score (41.3% vs 33.2%)

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-4o
OpenAI
o1-preview

FAQ

Common questions about GPT-4o vs o1-preview

o1-preview significantly outperforms across most benchmarks. GPT-4o is made by OpenAI and o1-preview is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
GPT-4o scores AI2D: 94.2%, DocVQA: 92.8%, ChartQA: 85.7%, MMLU: 85.7%, CharXiv-D: 85.3%. o1-preview scores MGSM: 90.8%, MMLU: 90.8%, MATH: 85.5%, GPQA: 73.3%, LiveBench: 52.3%.
GPT-4o is 6.0x cheaper for input tokens. GPT-4o costs $2.50/M input and $10.00/M output via azure. o1-preview costs $15.00/M input and $60.00/M output via openai.
GPT-4o supports 128K tokens and o1-preview supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include input pricing ($2.50 vs $15.00/M), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.