GPT-4.5
Multimodal
Zero-eval
#1CharXiv-D
#1SWE-Lancer
#2Graphwalks parents <128k
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by OpenAI
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About
GPT-4.5 is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 63.1% across 27 benchmarks. It excels particularly in GSM8k (97.0%), MMLU (90.8%), CharXiv-D (90.0%). It supports a 132K token context window for handling large documents. The model is available through 1 API provider. 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)$75.00 -$75.00
Output (per 1M)$150.00 -$150.00
Providers1
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Timeline
AnnouncedFeb 27, 2025
ReleasedFeb 27, 2025
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Specifications
Capabilities
Multimodal
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License & Family
License
Proprietary
Performance Overview
Performance metrics and category breakdown
Overall Performance
27 benchmarks
Average Score
63.1%
Best Score
97.0%
High Performers (80%+)
6Performance Metrics
Max Context Window
132.1KAvg Throughput
50.0 tok/sAvg Latency
20ms+
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All Benchmark Results for GPT-4.5
Complete list of benchmark scores with detailed information
| GSM8k | text | 0.97 | 97.0% | Self-reported | |
| MMLU | text | 0.91 | 90.8% | Self-reported | |
| CharXiv-D | multimodal | 0.90 | 90.0% | Self-reported | |
| IFEval | text | 0.88 | 88.2% | Self-reported | |
| HumanEval | text | 0.88 | 88.0% | Self-reported | |
| MMMLU | text | 0.85 | 85.1% | Self-reported | |
| MMMU | multimodal | 0.75 | 75.2% | Self-reported | |
| Graphwalks parents <128k | text | 0.73 | 72.6% | Self-reported | |
| MathVista | multimodal | 0.72 | 72.3% | Self-reported | |
| COLLIE | text | 0.72 | 72.3% | Self-reported |
Showing 1 to 10 of 27 benchmarks