Model Comparison

o3-mini vs o4-mini

o4-mini significantly outperforms across most benchmarks. o3-mini and o4-mini cost the same.

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Performance Benchmarks

Comparative analysis across standard metrics

8 benchmarks

o3-mini outperforms in 1 benchmarks (Aider-Polyglot Edit), while o4-mini is better at 7 benchmarks (Aider-Polyglot, AIME 2024, GPQA, Multi-Challenge, SWE-Bench Verified, TAU-bench Airline, TAU-bench Retail).

o4-mini significantly outperforms across most benchmarks.

Thu Apr 09 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

o4-mini costs less

For input processing, o3-mini ($1.10/1M tokens) costs the same as o4-mini ($1.10/1M tokens).

For output processing, o3-mini ($4.40/1M tokens) costs the same as o4-mini ($4.40/1M tokens).

In conclusion, o3-mini and o4-mini cost the same.*

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

Lowest available price from all providers
Thu Apr 09 2026 • llm-stats.com
OpenAI
o3-mini
Input tokens$1.10
Output tokens$4.40
Best providerAzure
OpenAI
o4-mini
Input tokens$1.10
Output tokens$4.40
Best providerOpenAI
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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
o3-mini
Input200,000 tokens
Output100,000 tokens
OpenAI
o4-mini
Input200,000 tokens
Output100,000 tokens
Thu Apr 09 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

o4-mini supports multimodal inputs, whereas o3-mini does not.

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

o3-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.

o3-mini

Proprietary

Closed source

o4-mini

Proprietary

Closed source

Release Timeline

When each model was launched

o3-mini was released on 2025-01-30, while o4-mini was released on 2025-04-16.

o4-mini is 3 months newer than o3-mini.

o3-mini

Jan 30, 2025

1.2 years ago

o4-mini

Apr 16, 2025

11 months ago

2mo newer

Knowledge Cutoff

When training data ends

o3-mini has a knowledge cutoff of 2023-09-30, while o4-mini has a cutoff of 2024-05-31.

o4-mini has more recent training data (up to 2024-05-31), making it potentially better informed about events through that date compared to o3-mini (2023-09-30).

o3-mini

Sep 2023

o4-mini

May 2024

8 mo newer

Provider Availability

o3-mini is available from Azure, OpenAI. o4-mini is available from OpenAI.

o3-mini

azure logo
Azure
Input Price:Input: $1.10/1MOutput Price:Output: $4.40/1M
openai logo
OpenAI
Input Price:Input: $1.10/1MOutput Price:Output: $4.40/1M

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 Aider-Polyglot Edit score (60.4% vs 58.2%)
OpenAI
Supports multimodal inputs
Higher Aider-Polyglot score (68.9% vs 66.7%)
Higher AIME 2024 score (93.4% vs 87.3%)
Higher GPQA score (81.4% vs 77.2%)
Higher Multi-Challenge score (43.0% vs 39.9%)
Higher SWE-Bench Verified score (68.1% vs 49.3%)
Higher TAU-bench Airline score (49.2% vs 32.4%)
Higher TAU-bench Retail score (71.8% vs 57.6%)
OpenAIo3-mini
OpenAIo4-mini
Compare in Playground

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
o3-mini
OpenAI
o4-mini

FAQ

Common questions about o3-mini vs o4-mini

o4-mini significantly outperforms across most benchmarks. o3-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.
o3-mini scores COLLIE: 98.7%, MATH: 97.9%, IFEval: 93.9%, MGSM: 92.0%, AIME 2024: 87.3%. o4-mini scores AIME 2024: 93.4%, AIME 2025: 92.7%, MathVista: 84.3%, MMMU: 81.6%, GPQA: 81.4%.
Both models cost $1.10 per million input tokens.
o3-mini 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 multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.