Model Comparison

GPT-5 vs GPT-5 mini

GPT-5 significantly outperforms across most benchmarks. GPT-5 mini is 5.0x cheaper per token.

Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

GPT-5 outperforms in 5 benchmarks (AIME 2025, FrontierMath, GPQA, HMMT 2025, Humanity's Last Exam), while GPT-5 mini is better at 0 benchmarks.

GPT-5 significantly outperforms across most benchmarks.

Fri Apr 24 2026 • llm-stats.com

Arena Performance

Human preference votes

CallingBox

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Pricing Analysis

Price comparison per million tokens

GPT-5 mini costs less

For input processing, GPT-5 ($1.25/1M tokens) is 5.0x more expensive than GPT-5 mini ($0.25/1M tokens).

For output processing, GPT-5 ($10.00/1M tokens) is 5.0x more expensive than GPT-5 mini ($2.00/1M tokens).

In conclusion, GPT-5 is more expensive than GPT-5 mini.*

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

Lowest available price from all providers
Fri Apr 24 2026 • llm-stats.com
OpenAI
GPT-5
Input tokens$1.25
Output tokens$10.00
Best providerOpenAI
OpenAI
GPT-5 mini
Input tokens$0.25
Output tokens$2.00
Best providerOpenAI
Notice missing or incorrect data?Start an Issue

Context Window

Maximum input and output token capacity

Both models have the same input context window of 400,000 tokens. Both models can generate responses up to 128,000 tokens.

OpenAI
GPT-5
Input400,000 tokens
Output128,000 tokens
OpenAI
GPT-5 mini
Input400,000 tokens
Output128,000 tokens
Fri Apr 24 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GPT-5 and GPT-5 mini support multimodal inputs.

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

GPT-5

Text
Images
Audio
Video

GPT-5 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-5

Proprietary

Closed source

GPT-5 mini

Proprietary

Closed source

Release Timeline

When each model was launched

Both models were released on 2025-08-07.

They likely represent similar generations of model development.

GPT-5

Aug 7, 2025

8 months ago

GPT-5 mini

Aug 7, 2025

8 months ago

Knowledge Cutoff

When training data ends

GPT-5 has a knowledge cutoff of 2024-09-30, while GPT-5 mini has a cutoff of 2024-05-30.

GPT-5 has more recent training data (up to 2024-09-30), making it potentially better informed about events through that date compared to GPT-5 mini (2024-05-30).

GPT-5

Sep 2024

4 mo newer
GPT-5 mini

May 2024

Provider Availability

GPT-5 is available from OpenAI. GPT-5 mini is available from OpenAI.

GPT-5

openai logo
OpenAI
Input Price:Input: $1.25/1MOutput Price:Output: $10.00/1M

GPT-5 mini

openai logo
OpenAI
Input Price:Input: $0.25/1MOutput Price:Output: $2.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Higher AIME 2025 score (94.6% vs 91.1%)
Higher FrontierMath score (26.3% vs 22.1%)
Higher GPQA score (85.7% vs 82.3%)
Higher HMMT 2025 score (93.3% vs 87.8%)
Higher Humanity's Last Exam score (24.8% vs 16.7%)
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-5
OpenAI
GPT-5 mini

FAQ

Common questions about GPT-5 vs GPT-5 mini

GPT-5 significantly outperforms across most benchmarks. GPT-5 is made by OpenAI and GPT-5 mini is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
GPT-5 scores SWE-Lancer (IC-Diamond subset): 100.0%, COLLIE: 99.0%, Tau2 Telecom: 96.7%, OpenAI-MRCR: 2 needle 128k: 95.2%, AIME 2025: 94.6%. GPT-5 mini scores AIME 2025: 91.1%, HMMT 2025: 87.8%, GPQA: 82.3%, FrontierMath: 22.1%, Humanity's Last Exam: 16.7%.
GPT-5 mini is 5.0x cheaper for input tokens. GPT-5 costs $1.25/M input and $10.00/M output via openai. GPT-5 mini costs $0.25/M input and $2.00/M output via openai.
GPT-5 supports 400K tokens and GPT-5 mini supports 400K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include input pricing ($1.25 vs $0.25/M). See the full comparison above for benchmark-by-benchmark results.