Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
DeepSeek V3 finishes one point ahead overall, 25 to 24. That is enough to call, but not enough to treat as a blowout. This matchup comes down to a few meaningful edges rather than one model dominating the board.
DeepSeek V3's sharpest advantage is in mathematics, where it averages 90.2 against 46. The single biggest benchmark swing on the page is MMLU, 88.5% to 47%. Llama 4 Scout does hit back in reasoning, 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 $0.00 input / $0.00 output per 1M tokens for Llama 4 Scout. That is roughly Infinityx on output cost alone. Llama 4 Scout gives you the larger context window at 10M, compared with 128K for DeepSeek V3.
Pick DeepSeek V3 if you want the stronger benchmark profile. Llama 4 Scout only becomes the better choice if reasoning is the priority or you want the cheaper token bill.
Benchmark data for this category is coming soon.
DeepSeek V3
42
Llama 4 Scout
32.8
Benchmark data for this category is coming soon.
DeepSeek V3
24.9
Llama 4 Scout
43.9
DeepSeek V3
69.6
Llama 4 Scout
61.4
Benchmark data for this category is coming soon.
Benchmark data for this category is coming soon.
DeepSeek V3
90.2
Llama 4 Scout
46
DeepSeek V3 is ahead overall, 25 to 24. The biggest single separator in this matchup is MMLU, where the scores are 88.5% and 47%.
DeepSeek V3 has the edge for knowledge tasks in this comparison, averaging 69.6 versus 61.4. Inside this category, MMLU is the benchmark that creates the most daylight between them.
DeepSeek V3 has the edge for coding in this comparison, averaging 42 versus 32.8. Llama 4 Scout stays close enough that the answer can still flip depending on your workload.
DeepSeek V3 has the edge for math in this comparison, averaging 90.2 versus 46. Inside this category, AIME 2024 is the benchmark that creates the most daylight between them.
Llama 4 Scout has the edge for reasoning in this comparison, averaging 43.9 versus 24.9. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
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