GPT-4.1
Multimodal
Zero-eval
#1Video-MME (long, no subtitles)
#1OpenAI-MRCR: 2 needle 1M
#1Graphwalks parents >128k
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by OpenAI
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About
GPT-4.1 is a multimodal language model developed by OpenAI. The model shows competitive results across 30 benchmarks. It excels particularly in MMLU (90.2%), CharXiv-D (87.9%), IFEval (87.4%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. 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)$2.00 -$2.00
Output (per 1M)$8.00 -$8.00
Providers1
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Timeline
AnnouncedApr 14, 2025
ReleasedApr 14, 2025
Knowledge CutoffJun 1, 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
30 benchmarks
Average Score
56.8%
Best Score
90.2%
High Performers (80%+)
4Performance Metrics
Max Context Window
1.1MAvg Throughput
100.0 tok/sAvg Latency
10ms+
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All Benchmark Results for GPT-4.1
Complete list of benchmark scores with detailed information
| MMLU | text | 0.90 | 90.2% | Self-reported | |
| CharXiv-D | multimodal | 0.88 | 87.9% | Self-reported | |
| IFEval | text | 0.87 | 87.4% | Self-reported | |
| MMMLU | text | 0.87 | 87.3% | Self-reported | |
| MMMU | multimodal | 0.75 | 74.8% | Self-reported | |
| MathVista | multimodal | 0.72 | 72.2% | Self-reported | |
| Video-MME (long, no subtitles) | multimodal | 0.72 | 72.0% | Self-reported | |
| Multi-IF | text | 0.71 | 70.8% | Self-reported | |
| TAU-bench Retail | text | 0.68 | 68.0% | Self-reported | |
| GPQA | text | 0.66 | 66.3% | Self-reported |
Showing 1 to 10 of 30 benchmarks