Model Comparison

o3-mini vs GPT-4o mini

o3-mini significantly outperforms across most benchmarks. GPT-4o mini is 7.3x cheaper per token.

Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

o3-mini outperforms in 5 benchmarks (GPQA, MATH, MGSM, MMLU, SWE-Bench Verified), while GPT-4o mini is better at 0 benchmarks.

o3-mini significantly outperforms across most benchmarks.

Mon Mar 30 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GPT-4o mini costs less

For input processing, o3-mini ($1.10/1M tokens) is 7.3x more expensive than GPT-4o mini ($0.15/1M tokens).

For output processing, o3-mini ($4.40/1M tokens) is 7.3x more expensive than GPT-4o mini ($0.60/1M tokens).

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

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

Lowest available price from all providers
Mon Mar 30 2026 • llm-stats.com
OpenAI
o3-mini
Input tokens$1.10
Output tokens$4.40
Best providerAzure
OpenAI
GPT-4o mini
Input tokens$0.15
Output tokens$0.60
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 mini's 128,000 tokens. o3-mini can generate longer responses up to 100,000 tokens, while GPT-4o mini is limited to 16,384 tokens.

OpenAI
o3-mini
Input200,000 tokens
Output100,000 tokens
OpenAI
GPT-4o mini
Input128,000 tokens
Output16,384 tokens
Mon Mar 30 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

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

o3-mini

Text
Images
Audio
Video

GPT-4o 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

GPT-4o mini

Proprietary

Closed source

Release Timeline

When each model was launched

o3-mini was released on 2025-01-30, while GPT-4o mini was released on 2024-07-18.

o3-mini is 7 months newer than GPT-4o mini.

o3-mini

Jan 30, 2025

1.2 years ago

6mo newer
GPT-4o mini

Jul 18, 2024

1.7 years ago

Knowledge Cutoff

When training data ends

o3-mini has a knowledge cutoff of 2023-09-30, while GPT-4o mini has a cutoff of 2023-10-01.

GPT-4o mini has more recent training data (up to 2023-10-01), making it potentially better informed about events through that date compared to o3-mini (2023-09-30).

o3-mini

Sep 2023

GPT-4o mini

Oct 2023

1 mo newer

Provider Availability

o3-mini is available from Azure, OpenAI. GPT-4o mini is available from Azure.

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

GPT-4o mini

azure logo
Azure
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Larger context window (200,000 tokens)
Higher GPQA score (77.2% vs 40.2%)
Higher MATH score (97.9% vs 70.2%)
Higher MGSM score (92.0% vs 87.0%)
Higher MMLU score (86.9% vs 82.0%)
Higher SWE-Bench Verified score (49.3% vs 8.7%)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

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

FAQ

Common questions about o3-mini vs GPT-4o mini

o3-mini significantly outperforms across most benchmarks. o3-mini is made by OpenAI and GPT-4o 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%. GPT-4o mini scores HumanEval: 87.2%, MGSM: 87.0%, MMLU: 82.0%, DROP: 79.7%, MATH: 70.2%.
GPT-4o mini is 7.3x cheaper for input tokens. o3-mini costs $1.10/M input and $4.40/M output via azure. GPT-4o mini costs $0.15/M input and $0.60/M output via azure.
o3-mini supports 200K tokens and GPT-4o 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 (200K vs 128K), input pricing ($1.10 vs $0.15/M), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.