GPT-5 mini
Multimodal
Zero-eval
#2HMMT 2025
#2FrontierMath
by OpenAI
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About
GPT-5 mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 60.0% across 5 benchmarks. It excels particularly in AIME 2025 (91.1%), HMMT 2025 (87.8%), GPQA (82.3%). It supports a 528K token context window for handling large documents. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents OpenAI's latest advancement in AI technology.
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Pricing Range
Input (per 1M)$0.25 -$0.25
Output (per 1M)$2.00 -$2.00
Providers2
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Timeline
AnnouncedAug 7, 2025
ReleasedAug 7, 2025
Knowledge CutoffMay 30, 2024
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Specifications
Capabilities
Multimodal
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License & Family
License
Proprietary
Performance Overview
Performance metrics and category breakdown
Overall Performance
5 benchmarks
Average Score
60.0%
Best Score
91.1%
High Performers (80%+)
3Performance Metrics
Max Context Window
528.0KAvg Throughput
200.0 tok/sAvg Latency
1ms+
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All Benchmark Results for GPT-5 mini
Complete list of benchmark scores with detailed information
| AIME 2025 | text | 0.91 | 91.1% | Self-reported | |
| HMMT 2025 | text | 0.88 | 87.8% | Self-reported | |
| GPQA | text | 0.82 | 82.3% | Self-reported | |
| FrontierMath | text | 0.22 | 22.1% | Self-reported | |
| Humanity's Last Exam | multimodal | 0.17 | 16.7% | Self-reported |