Model Comparison

o1 vs o4-mini

o4-mini significantly outperforms across most benchmarks. o4-mini is 13.6x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

7 benchmarks

o1 outperforms in 1 benchmarks (TAU-bench Airline), while o4-mini is better at 6 benchmarks (AIME 2024, GPQA, MathVista, MMMU, SWE-Bench Verified, TAU-bench Retail).

o4-mini significantly outperforms across most benchmarks.

Sun Apr 26 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

o4-mini costs less

For input processing, o1 ($15.00/1M tokens) is 13.6x more expensive than o4-mini ($1.10/1M tokens).

For output processing, o1 ($60.00/1M tokens) is 13.6x more expensive than o4-mini ($4.40/1M tokens).

In conclusion, o1 is more expensive than o4-mini.*

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

Lowest available price from all providers
Sun Apr 26 2026 • llm-stats.com
OpenAI
o1
Input tokens$15.00
Output tokens$60.00
Best providerAzure
OpenAI
o4-mini
Input tokens$1.10
Output tokens$4.40
Best providerOpenAI
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Both models have the same input context window of 200,000 tokens. Both models can generate responses up to 100,000 tokens.

OpenAI
o1
Input200,000 tokens
Output100,000 tokens
OpenAI
o4-mini
Input200,000 tokens
Output100,000 tokens
Sun Apr 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

o4-mini supports multimodal inputs, whereas o1 does not.

o4-mini can handle both text and other forms of data like images, making it suitable for multimodal applications.

o1

Text
Images
Audio
Video

o4-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.

o1

Proprietary

Closed source

o4-mini

Proprietary

Closed source

Release Timeline

When each model was launched

o1 was released on 2024-12-17, while o4-mini was released on 2025-04-16.

o4-mini is 4 months newer than o1.

o1

Dec 17, 2024

1.4 years ago

o4-mini

Apr 16, 2025

1.0 years ago

4mo newer

Knowledge Cutoff

When training data ends

o4-mini has a documented knowledge cutoff of 2024-05-31, while o1's cutoff date is not specified.

We can confirm o4-mini's training data extends to 2024-05-31, but cannot make a direct comparison without o1's cutoff date.

o1

—

o4-mini

May 2024

Provider Availability

o1 is available from Azure, OpenAI. o4-mini is available from OpenAI.

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

o4-mini

openai logo
OpenAI
Input Price:Input: $1.10/1MOutput Price:Output: $4.40/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

OpenAI
Higher TAU-bench Airline score (50.0% vs 49.2%)
OpenAI
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Higher AIME 2024 score (93.4% vs 74.3%)
Higher GPQA score (81.4% vs 78.0%)
Higher MathVista score (84.3% vs 71.8%)
Higher MMMU score (81.6% vs 77.6%)
Higher SWE-Bench Verified score (68.1% vs 41.0%)
Higher TAU-bench Retail score (71.8% vs 70.8%)
OpenAIo1
OpenAIo4-mini
Compare in Playground

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
o1
OpenAI
o4-mini

FAQ

Common questions about o1 vs o4-mini

o4-mini significantly outperforms across most benchmarks. o1 is made by OpenAI and o4-mini is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
o1 scores GSM8k: 97.1%, MATH: 96.4%, GPQA Physics: 92.8%, MMLU: 91.8%, MGSM: 89.3%. o4-mini scores AIME 2024: 93.4%, AIME 2025: 92.7%, MathVista: 84.3%, MMMU: 81.6%, GPQA: 81.4%.
o4-mini is 13.6x cheaper for input tokens. o1 costs $15.00/M input and $60.00/M output via azure. o4-mini costs $1.10/M input and $4.40/M output via openai.
o1 supports 200K tokens and o4-mini supports 200K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include input pricing ($15.00 vs $1.10/M), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.