Model Comparison

GPT-4o mini vs o4-mini

o4-mini significantly outperforms across most benchmarks. GPT-4o mini is 7.3x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

GPT-4o mini outperforms in 0 benchmarks, while o4-mini is better at 4 benchmarks (GPQA, MathVista, MMMU, SWE-Bench Verified).

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

GPT-4o mini costs less

For input processing, GPT-4o mini ($0.15/1M tokens) is 7.3x cheaper than o4-mini ($1.10/1M tokens).

For output processing, GPT-4o mini ($0.60/1M tokens) is 7.3x cheaper than o4-mini ($4.40/1M tokens).

In conclusion, o4-mini is more expensive than GPT-4o mini.*

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

Lowest available price from all providers
Thu Apr 09 2026 • llm-stats.com
OpenAI
GPT-4o mini
Input tokens$0.15
Output tokens$0.60
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

o4-mini accepts 200,000 input tokens compared to GPT-4o mini's 128,000 tokens. o4-mini can generate longer responses up to 100,000 tokens, while GPT-4o mini is limited to 16,384 tokens.

OpenAI
GPT-4o mini
Input128,000 tokens
Output16,384 tokens
OpenAI
o4-mini
Input200,000 tokens
Output100,000 tokens
Thu Apr 09 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GPT-4o mini and o4-mini support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

GPT-4o 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.

GPT-4o mini

Proprietary

Closed source

o4-mini

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-4o mini was released on 2024-07-18, while o4-mini was released on 2025-04-16.

o4-mini is 9 months newer than GPT-4o mini.

GPT-4o mini

Jul 18, 2024

1.7 years ago

o4-mini

Apr 16, 2025

11 months ago

9mo newer

Knowledge Cutoff

When training data ends

GPT-4o mini has a knowledge cutoff of 2023-10-01, 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 GPT-4o mini (2023-10-01).

GPT-4o mini

Oct 2023

o4-mini

May 2024

7 mo newer

Provider Availability

GPT-4o mini is available from Azure. o4-mini is available from OpenAI.

GPT-4o mini

azure logo
Azure
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M

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
Less expensive input tokens
Less expensive output tokens
OpenAI
Larger context window (200,000 tokens)
Higher GPQA score (81.4% vs 40.2%)
Higher MathVista score (84.3% vs 56.7%)
Higher MMMU score (81.6% vs 59.4%)
Higher SWE-Bench Verified score (68.1% vs 8.7%)
OpenAIGPT-4o mini
OpenAIo4-mini
Compare in Playground

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-4o mini
OpenAI
o4-mini

FAQ

Common questions about GPT-4o mini vs o4-mini

o4-mini significantly outperforms across most benchmarks. GPT-4o 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.
GPT-4o mini scores HumanEval: 87.2%, MGSM: 87.0%, MMLU: 82.0%, DROP: 79.7%, MATH: 70.2%. o4-mini scores AIME 2024: 93.4%, AIME 2025: 92.7%, MathVista: 84.3%, MMMU: 81.6%, GPQA: 81.4%.
GPT-4o mini is 7.3x cheaper for input tokens. GPT-4o mini costs $0.15/M input and $0.60/M output via azure. o4-mini costs $1.10/M input and $4.40/M output via openai.
GPT-4o 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.
Key differences include context window (128K vs 200K), input pricing ($0.15 vs $1.10/M). See the full comparison above for benchmark-by-benchmark results.