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GPT-5 nano vs Grok-4 Heavy
Comprehensive side-by-side LLM comparison
Grok-4 Heavy leads with 28.3% higher average benchmark score. GPT-5 nano is available on 2 providers. Overall, Grok-4 Heavy is the stronger choice for coding tasks.
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OpenAI
GPT-5 nano is a multimodal language model developed by OpenAI. The model shows competitive results across 5 benchmarks. It excels particularly in AIME 2025 (85.2%), HMMT 2025 (75.6%), GPQA (71.2%). 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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xAI
Grok-4 Heavy is a multimodal language model developed by xAI. It achieves strong performance with an average score of 79.5% across 6 benchmarks. It excels particularly in AIME 2025 (100.0%), HMMT25 (96.7%), GPQA (88.4%). 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.
29 days newer
Grok-4 Heavy
xAI
2025-07-09
GPT-5 nano
OpenAI
2025-08-07
Performance Metrics
Context window and performance specifications
Average performance across 8 common benchmarks
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GPT-5 nano
Average Score:31.3%
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Grok-4 Heavy
Average Score:59.6%(+28.3%)
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Knowledge Cutoff
Training data recency comparison
GPT-5 nano
2024-05-30
Grok-4 Heavy
2024-12-31
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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GPT-5 nano
2 providers
OpenAI
Throughput: 500 tok/s
Latency: 0.3ms
ZeroEval
Throughput: 500 tok/s
Latency: 0.3ms
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GPT-5 nano
Avg Score:31.3%
Providers:2
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Grok-4 Heavy
Avg Score:59.6%(+28.3%)
Providers:0