GPT-4o vs o3-mini Comparison

Comparing GPT-4o and o3-mini across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

20 benchmarks

GPT-4o outperforms in 7 benchmarks (ComplexFuncBench, OpenAI-MRCR: 2 needle 128k, SimpleQA, SWE-Lancer, SWE-Lancer (IC-Diamond subset), TAU-bench Airline, TAU-bench Retail), while o3-mini is better at 13 benchmarks (Aider-Polyglot, Aider-Polyglot Edit, AIME 2024, COLLIE, GPQA, Graphwalks BFS <128k, Graphwalks parents <128k, IFEval, Internal API instruction following (hard), MMLU, MultiChallenge (o3-mini grader), Multi-IF, SWE-Bench Verified).

o3-mini shows notably better performance in the majority of benchmarks.

Sat Mar 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

o3-mini costs less

For input processing, GPT-4o ($2.50/1M tokens) is 2.3x more expensive than o3-mini ($1.10/1M tokens).

For output processing, GPT-4o ($10.00/1M tokens) is 2.3x more expensive than o3-mini ($4.40/1M tokens).

In conclusion, GPT-4o is more expensive than o3-mini.*

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

Lowest available price from all providers
Sat Mar 14 2026 • llm-stats.com
OpenAI
GPT-4o
Input tokens$2.50
Output tokens$10.00
Best providerAzure
OpenAI
o3-mini
Input tokens$1.10
Output tokens$4.40
Best providerAzure
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

o3-mini accepts 200,000 input tokens compared to GPT-4o's 128,000 tokens. o3-mini can generate longer responses up to 100,000 tokens, while GPT-4o is limited to 16,384 tokens.

OpenAI
GPT-4o
Input128,000 tokens
Output16,384 tokens
OpenAI
o3-mini
Input200,000 tokens
Output100,000 tokens
Sat Mar 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-4o supports multimodal inputs, whereas o3-mini does not.

GPT-4o can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-4o

Text
Images
Audio
Video

o3-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-4o

Proprietary

Closed source

o3-mini

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-4o was released on 2024-08-06, while o3-mini was released on 2025-01-30.

o3-mini is 6 months newer than GPT-4o.

GPT-4o

Aug 6, 2024

1.6 years ago

o3-mini

Jan 30, 2025

1.1 years ago

5mo newer

Knowledge Cutoff

When training data ends

o3-mini has a documented knowledge cutoff of 2023-09-30, while GPT-4o's cutoff date is not specified.

We can confirm o3-mini's training data extends to 2023-09-30, but cannot make a direct comparison without GPT-4o's cutoff date.

GPT-4o

—

o3-mini

Sep 2023

Provider Availability

GPT-4o is available from Azure, OpenAI. o3-mini is available from Azure, OpenAI. The availability of providers can affect quality of the model and reliability.

GPT-4o

azure logo
Azure
Input Price:Input: $2.50/1MOutput Price:Output: $10.00/1M
openai logo
OpenAI
Input Price:Input: $2.50/1MOutput Price:Output: $10.00/1M

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
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

OpenAI
Supports multimodal inputs
Higher ComplexFuncBench score (66.5% vs 17.6%)
Higher OpenAI-MRCR: 2 needle 128k score (31.9% vs 18.7%)
Higher SimpleQA score (38.2% vs 15.0%)
Higher SWE-Lancer score (32.6% vs 18.0%)
Higher SWE-Lancer (IC-Diamond subset) score (12.4% vs 7.4%)
Higher TAU-bench Airline score (42.8% vs 32.4%)
Higher TAU-bench Retail score (60.3% vs 57.6%)
OpenAI
Larger context window (200,000 tokens)
Less expensive input tokens
Less expensive output tokens
Higher Aider-Polyglot score (66.7% vs 30.7%)
Higher Aider-Polyglot Edit score (60.4% vs 18.2%)
Higher AIME 2024 score (87.3% vs 13.1%)
Higher COLLIE score (98.7% vs 61.0%)
Higher GPQA score (77.2% vs 70.1%)
Higher Graphwalks BFS <128k score (51.0% vs 41.7%)
Higher Graphwalks parents <128k score (58.3% vs 35.4%)
Higher IFEval score (93.9% vs 81.0%)
Higher Internal API instruction following (hard) score (50.0% vs 29.2%)
Higher MMLU score (86.9% vs 85.7%)
Higher MultiChallenge (o3-mini grader) score (50.2% vs 39.9%)
Higher Multi-IF score (79.5% vs 60.9%)
Higher SWE-Bench Verified score (49.3% vs 33.2%)

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-4o
OpenAI
o3-mini