Grok-4
Multimodal
Zero-eval
#1ARC-AGI v2
#2HMMT25
#2GPQA
+2 more
by xAI
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About
Grok-4 is a multimodal language model developed by xAI. It achieves strong performance with an average score of 63.1% across 7 benchmarks. It excels particularly in AIME 2025 (91.7%), HMMT25 (90.0%), GPQA (87.5%). It supports a 264K 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 xAI's latest advancement in AI technology.
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Pricing Range
Input (per 1M)$3.00 -$3.00
Output (per 1M)$15.00 -$15.00
Providers2
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Timeline
AnnouncedJul 9, 2025
ReleasedJul 9, 2025
Knowledge CutoffDec 31, 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
7 benchmarks
Average Score
63.1%
Best Score
91.7%
High Performers (80%+)
3Performance Metrics
Max Context Window
264.0KAvg Throughput
100.0 tok/sAvg Latency
1ms+
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All Benchmark Results for Grok-4
Complete list of benchmark scores with detailed information
| AIME 2025 | text | 0.92 | 91.7% | Self-reported | |
| HMMT25 | text | 0.90 | 90.0% | Self-reported | |
| GPQA | text | 0.88 | 87.5% | Self-reported | |
| LiveCodeBench | text | 0.79 | 79.0% | Self-reported | |
| Humanity's Last Exam | multimodal | 0.40 | 40.0% | Self-reported | |
| USAMO25 | text | 0.38 | 37.5% | Self-reported | |
| ARC-AGI v2 | multimodal | 0.16 | 15.9% | Self-reported |