AI models

DeepSeek V3 vs GPT-5

Same criteria, side by side. Where the gap is small, it may be measurement noise.

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DeepSeek V3 vs GPT-5

Direct answer: GPQA Diamond: DeepSeek V3 67.6%, GPT-5 86.2% (Epoch AI). OTIS Mock AIME: DeepSeek V3 37.8%, GPT-5 91.4% (Epoch AI). GPQA Diamond (OpenRouter): DeepSeek V3 66.7%, GPT-5 85.7% (OpenRouter Benchmarks). τ-bench Verified (airline): DeepSeek V3 43.8%, GPT-5 70.7% (OpenRouter Benchmarks).

DeepSeek V3 vs GPT-5
MetricDeepSeek V3GPT-5Source
Weights ?what it isopenclosedno data
Input US$/1M ?US$ 0.29US$ 1.25no data
Output US$/1M ?US$ 1.14US$ 10.00no data
Context ?163,840400,000no data
GPQA Diamond ?67.6%86.2%Epoch AI
OTIS Mock AIME ?37.8%91.4%Epoch AI
FrontierMath (tiers 1 to 3) ?no data55.4%Epoch AI
SimpleQA Verified ?no data50.1%Epoch AI
SWE-bench Verified ?no data73.6%Epoch AI
GPQA Diamond (OpenRouter) ?66.7%85.7%OpenRouter Benchmarks
τ-bench Verified (airline) ?43.8%70.7%OpenRouter Benchmarks

See lab: DeepSeek · OpenAI

Sources

  • Epoch AI, CC BY 4.0, latest version we checked.
  • OpenRouter Benchmarks, CC BY 4.0, latest version we checked.
  • OpenRouter, dados públicos da API; exports de benchmarks e rankings em CC BY 4.0, latest version we checked.

Dates come from the sources: OpenRouter listing or Hugging Face repo creation, which may differ from the official launch. Family and version were grouped by rule from the name.