Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
DeepSeek V3 is clearly ahead on the aggregate, 25 to 19. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
DeepSeek V3's sharpest advantage is in mathematics, where it averages 90.2 against 8.6. The single biggest benchmark swing on the page is SWE-bench Verified, 42% to 8.7%. GPT-4o mini does hit back in coding, so the answer changes if that is the part of the workload you care about most.
DeepSeek V3 is also the more expensive model on tokens at $0.27 input / $1.10 output per 1M tokens, versus $0.15 input / $0.60 output per 1M tokens for GPT-4o mini.
Pick DeepSeek V3 if you want the stronger benchmark profile. GPT-4o mini only becomes the better choice if coding is the priority or you want the cheaper token bill.
Benchmark data for this category is coming soon.
DeepSeek V3
42
GPT-4o mini
48
Benchmark data for this category is coming soon.
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
DeepSeek V3
69.6
GPT-4o mini
40.2
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
Benchmark data for this category is coming soon.
DeepSeek V3
90.2
GPT-4o mini
8.6
DeepSeek V3 is ahead overall, 25 to 19. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 42% and 8.7%.
DeepSeek V3 has the edge for knowledge tasks in this comparison, averaging 69.6 versus 40.2. Inside this category, GPQA is the benchmark that creates the most daylight between them.
GPT-4o mini has the edge for coding in this comparison, averaging 48 versus 42. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
DeepSeek V3 has the edge for math in this comparison, averaging 90.2 versus 8.6. Inside this category, AIME 2024 is the benchmark that creates the most daylight between them.
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