Model Comparison

GPT-4 vs o1-preview

o1-preview significantly outperforms across most benchmarks. o1-preview is 1.4x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

GPT-4 outperforms in 0 benchmarks, while o1-preview is better at 4 benchmarks (GPQA, MATH, MGSM, MMLU).

o1-preview significantly outperforms across most benchmarks.

Mon Apr 13 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

o1-preview costs less

For input processing, GPT-4 ($30.00/1M tokens) is 2.0x more expensive than o1-preview ($15.00/1M tokens).

For output processing, GPT-4 ($60.00/1M tokens) costs the same as o1-preview ($60.00/1M tokens).

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

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

Lowest available price from all providers
Mon Apr 13 2026 • llm-stats.com
OpenAI
GPT-4
Input tokens$30.00
Output tokens$60.00
Best providerAzure
OpenAI
o1-preview
Input tokens$15.00
Output tokens$60.00
Best providerOpenAI
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

o1-preview accepts 128,000 input tokens compared to GPT-4's 32,768 tokens. Both models can generate responses up to 32,768 tokens.

OpenAI
GPT-4
Input32,768 tokens
Output32,768 tokens
OpenAI
o1-preview
Input128,000 tokens
Output32,768 tokens
Mon Apr 13 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

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

GPT-4

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-4

Proprietary

Closed source

o1-preview

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-4 was released on 2023-06-13, while o1-preview was released on 2024-09-12.

o1-preview is 15 months newer than GPT-4.

GPT-4

Jun 13, 2023

2.8 years ago

o1-preview

Sep 12, 2024

1.6 years ago

1.3yr newer

Knowledge Cutoff

When training data ends

GPT-4 has a documented knowledge cutoff of 2022-12-31, while o1-preview'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 o1-preview's cutoff date.

GPT-4

Dec 2022

o1-preview

—

Provider Availability

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

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

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
OpenAI
Larger context window (128,000 tokens)
Less expensive input tokens
Higher GPQA score (73.3% vs 35.7%)
Higher MATH score (85.5% vs 42.0%)
Higher MGSM score (90.8% vs 74.5%)
Higher MMLU score (90.8% vs 86.4%)

Detailed Comparison

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

FAQ

Common questions about GPT-4 vs o1-preview

o1-preview significantly outperforms across most benchmarks. GPT-4 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-4 scores AI2 Reasoning Challenge (ARC): 96.3%, HellaSwag: 95.3%, Uniform Bar Exam: 90.0%, SAT Math: 89.0%, LSAT: 88.0%. o1-preview scores MGSM: 90.8%, MMLU: 90.8%, MATH: 85.5%, GPQA: 73.3%, LiveBench: 52.3%.
o1-preview is 2.0x cheaper for input tokens. GPT-4 costs $30.00/M input and $60.00/M output via azure. o1-preview costs $15.00/M input and $60.00/M output via openai.
GPT-4 supports 33K 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 context window (33K vs 128K), input pricing ($30.00 vs $15.00/M), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.