Model Comparison

GPT-4 vs o1-mini

o1-mini shows notably better performance in the majority of benchmarks. o1-mini is 7.1x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

GPT-4 outperforms in 1 benchmarks (MMLU), while o1-mini is better at 2 benchmarks (GPQA, HumanEval).

o1-mini shows notably better performance in the majority of benchmarks.

Mon Apr 06 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

o1-mini costs less

For input processing, GPT-4 ($30.00/1M tokens) is 10.0x more expensive than o1-mini ($3.00/1M tokens).

For output processing, GPT-4 ($60.00/1M tokens) is 5.0x more expensive than o1-mini ($12.00/1M tokens).

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

* 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
o1-mini
Input tokens$3.00
Output tokens$12.00
Best providerOpenAI
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

o1-mini accepts 128,000 input tokens compared to GPT-4's 32,768 tokens. o1-mini can generate longer responses up to 65,536 tokens, while GPT-4 is limited to 32,768 tokens.

OpenAI
GPT-4
Input32,768 tokens
Output32,768 tokens
OpenAI
o1-mini
Input128,000 tokens
Output65,536 tokens
Mon Apr 06 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-4 supports multimodal inputs, whereas o1-mini 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-mini

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-mini

Proprietary

Closed source

Release Timeline

When each model was launched

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

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

GPT-4

Jun 13, 2023

2.8 years ago

o1-mini

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-mini'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-mini's cutoff date.

GPT-4

Dec 2022

o1-mini

—

Provider Availability

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

openai logo
OpenAI
Input Price:Input: $3.00/1MOutput Price:Output: $12.00/1M
azure logo
Azure
Input Price:Input: $3.30/1MOutput Price:Output: $13.20/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

OpenAI
Supports multimodal inputs
Higher MMLU score (86.4% vs 85.2%)
OpenAI
Larger context window (128,000 tokens)
Less expensive input tokens
Less expensive output tokens
Higher GPQA score (60.0% vs 35.7%)
Higher HumanEval score (92.4% vs 67.0%)

Detailed Comparison

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

FAQ

Common questions about GPT-4 vs o1-mini

o1-mini shows notably better performance in the majority of benchmarks. GPT-4 is made by OpenAI and o1-mini 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-mini scores HumanEval: 92.4%, MATH-500: 90.0%, MMLU: 85.2%, SuperGLUE: 75.0%, GPQA: 60.0%.
o1-mini is 10.0x cheaper for input tokens. GPT-4 costs $30.00/M input and $60.00/M output via azure. o1-mini costs $3.00/M input and $12.00/M output via openai.
GPT-4 supports 33K tokens and o1-mini 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 $3.00/M), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.