Model Comparison

GPT-4 vs o1

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

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Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

GPT-4 outperforms in 0 benchmarks, while o1 is better at 5 benchmarks (GPQA, HumanEval, MATH, MGSM, MMLU).

o1 significantly outperforms across most benchmarks.

Wed Apr 08 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

o1 costs less

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

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

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

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

Lowest available price from all providers
Wed Apr 08 2026 • llm-stats.com
OpenAI
GPT-4
Input tokens$30.00
Output tokens$60.00
Best providerAzure
OpenAI
o1
Input tokens$15.00
Output tokens$60.00
Best providerAzure
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

o1 accepts 200,000 input tokens compared to GPT-4's 32,768 tokens. o1 can generate longer responses up to 100,000 tokens, while GPT-4 is limited to 32,768 tokens.

OpenAI
GPT-4
Input32,768 tokens
Output32,768 tokens
OpenAI
o1
Input200,000 tokens
Output100,000 tokens
Wed Apr 08 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-4 supports multimodal inputs, whereas o1 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

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

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-4 was released on 2023-06-13, while o1 was released on 2024-12-17.

o1 is 18 months newer than GPT-4.

GPT-4

Jun 13, 2023

2.8 years ago

o1

Dec 17, 2024

1.3 years ago

1.5yr newer

Knowledge Cutoff

When training data ends

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

GPT-4

Dec 2022

o1

—

Provider Availability

GPT-4 is available from Azure, OpenAI. o1 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

o1

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

Outputs Comparison

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Key Takeaways

OpenAI
Supports multimodal inputs
OpenAI
Larger context window (200,000 tokens)
Less expensive input tokens
Higher GPQA score (78.0% vs 35.7%)
Higher HumanEval score (88.1% vs 67.0%)
Higher MATH score (96.4% vs 42.0%)
Higher MGSM score (89.3% vs 74.5%)
Higher MMLU score (91.8% vs 86.4%)

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-4
OpenAI
o1

FAQ

Common questions about GPT-4 vs o1

o1 significantly outperforms across most benchmarks. GPT-4 is made by OpenAI and o1 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 scores GSM8k: 97.1%, MATH: 96.4%, GPQA Physics: 92.8%, MMLU: 91.8%, MGSM: 89.3%.
o1 is 2.0x cheaper for input tokens. GPT-4 costs $30.00/M input and $60.00/M output via azure. o1 costs $15.00/M input and $60.00/M output via azure.
GPT-4 supports 33K tokens and o1 supports 200K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (33K vs 200K), input pricing ($30.00 vs $15.00/M), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.