Model Comparison

o1-mini vs o4-mini

o4-mini significantly outperforms across most benchmarks. o4-mini is 2.7x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

o1-mini outperforms in 0 benchmarks, while o4-mini is better at 1 benchmark (GPQA).

o4-mini significantly outperforms across most benchmarks.

Thu May 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

o4-mini costs less

For input processing, o1-mini ($3.00/1M tokens) is 2.7x more expensive than o4-mini ($1.10/1M tokens).

For output processing, o1-mini ($12.00/1M tokens) is 2.7x more expensive than o4-mini ($4.40/1M tokens).

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

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

Lowest available price from all providers

Thu May 14 2026 • llm-stats.com

o1-mini

Input tokens$3.00

Output tokens$12.00

Best providerOpenAI

o4-mini

Input tokens$1.10

Output tokens$4.40

Best providerOpenAI

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Context Window

Maximum input and output token capacity

o4-mini accepts 200,000 input tokens compared to o1-mini's 128,000 tokens. o4-mini can generate longer responses up to 100,000 tokens, while o1-mini is limited to 65,536 tokens.

o1-mini

Input128,000 tokens

Output65,536 tokens

o4-mini

Input200,000 tokens

Output100,000 tokens

Thu May 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

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

o1-mini

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-mini

Proprietary

Closed source

o4-mini

Proprietary

Closed source

Release Timeline

When each model was launched

o1-mini was released on 2024-09-12, while o4-mini was released on 2025-04-16.

o4-mini is 7 months newer than o1-mini.

o1-mini

Sep 12, 2024

1.7 years ago

o4-mini

Apr 16, 2025

1.1 years ago

7mo newer

Knowledge Cutoff

When training data ends

o4-mini has a documented knowledge cutoff of 2024-05-31, while o1-mini'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-mini's cutoff date.

o1-mini

—

o4-mini

May 2024

Provider Availability

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

o1-mini

OpenAI

Input Price:Input: $3.00/1MOutput Price:Output: $12.00/1M

Azure

Input Price:Input: $3.30/1MOutput Price:Output: $13.20/1M

o4-mini

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

o1-mini

View details

OpenAI

No standout differentiators in the data we have for this pair.

o4-mini

View details

OpenAI

Larger context window (200,000 tokens)

Supports multimodal inputs

Less expensive input tokens

Less expensive output tokens

Higher GPQA score (81.4% vs 60.0%)

o1-mini

o4-mini

Compare in Playground

Detailed Comparison

AI Model Comparison Table
Feature	o1-mini	o4-mini

FAQ

Common questions about o1-mini vs o4-mini.

Which is better, o1-mini or o4-mini?

o4-mini significantly outperforms across most benchmarks. o1-mini 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.

How does o1-mini compare to o4-mini in benchmarks?

o1-mini scores HumanEval: 92.4%, MATH-500: 90.0%, MMLU: 85.2%, SuperGLUE: 75.0%, GPQA: 60.0%. o4-mini scores AIME 2024: 93.4%, AIME 2025: 92.7%, MathVista: 84.3%, MMMU: 81.6%, GPQA: 81.4%.

Is o1-mini cheaper than o4-mini?

o4-mini is 2.7x cheaper for input tokens. o1-mini costs $3.00/M input and $12.00/M output via openai. o4-mini costs $1.10/M input and $4.40/M output via openai.

What are the context window sizes for o1-mini and o4-mini?

o1-mini supports 128K tokens and o4-mini supports 200K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between o1-mini and o4-mini?

Key differences include context window (128K vs 200K), input pricing ($3.00 vs $1.10/M), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.