Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
GPT-5 (high) is clearly ahead on the aggregate, 47 to 25. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5 (high)'s sharpest advantage is in reasoning, where it averages 87.9 against 24.9. The single biggest benchmark swing on the page is SimpleQA, 24.9% to 89%.
GPT-5 (high) is the reasoning model in the pair, while DeepSeek V3 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use.
Pick GPT-5 (high) if you want the stronger benchmark profile. DeepSeek V3 only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
Benchmark data for this category is coming soon.
DeepSeek V3
42
GPT-5 (high)
85
Benchmark data for this category is coming soon.
DeepSeek V3
24.9
GPT-5 (high)
87.9
DeepSeek V3
69.6
GPT-5 (high)
90
Benchmark data for this category is coming soon.
Benchmark data for this category is coming soon.
DeepSeek V3
90.2
GPT-5 (high)
94
GPT-5 (high) is ahead overall, 47 to 25. The biggest single separator in this matchup is SimpleQA, where the scores are 24.9% and 89%.
GPT-5 (high) has the edge for knowledge tasks in this comparison, averaging 90 versus 69.6. Inside this category, GPQA is the benchmark that creates the most daylight between them.
GPT-5 (high) has the edge for coding in this comparison, averaging 85 versus 42. DeepSeek V3 stays close enough that the answer can still flip depending on your workload.
GPT-5 (high) has the edge for math in this comparison, averaging 94 versus 90.2. Inside this category, AIME 2024 is the benchmark that creates the most daylight between them.
GPT-5 (high) has the edge for reasoning in this comparison, averaging 87.9 versus 24.9. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
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