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VECTOR WIREAI INTELLIGENCE
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DeepSeek-V3.2-Base vs Qwen2.5 Instruct 72B

DeepSeek

Alibaba · released

Scores updated · 12 tests both models report · How we compare

What it costs

Prices per million tokens, roughly 750,000 words. The bars show the cost of a million tokens read plus a million written.

DeepSeek-V3.2-BaseNo current price is tracked.
Qwen2.5 Instruct 72B$0.47 to read · $0.49 to write$0.97Price from Artificial Analysis

Every test, side by side

All 12 tests both models report. The winning score is in its model's colour; marks a score checked independently.

Other results12 tests
  • HumanEvalQwen2.5 Instruct 72B by 23.862.886.6+23.8
  • TriviaQA (EM)DeepSeek-V3.2-Base by 11.483.371.9+11.4
  • MMLUDeepSeek-V3.2-Base by 10.887.877+10.8
  • CMath (EM)DeepSeek-V3.2-Base by 8.192.684.5+8.1
  • BBH (EM)DeepSeek-V3.2-Base by 7.887.679.8+7.8
  • DROP (F1)DeepSeek-V3.2-Base by 7.688.280.6+7.6
  • MATH (EM)DeepSeek-V3.2-Base by 6.160.554.4+6.1
  • MMLU-ProQwen2.5 Instruct 72B by 5.665.571.1+5.6
  • MGSM (EM)DeepSeek-V3.2-Base by 5.181.376.2+5.1
  • GSM8K (EM)DeepSeek-V3.2-Base by 2.891.188.3+2.8
  • CLUEWSCDeepSeek-V3.2-Base by 183.582.5+1
  • MMLU-Reduxtie87.586.8tie

Questions people ask

How do you compare the two?

We use the 12 benchmark tests both models have published scores on. None of them is in the eight capability areas we count, so this page lists them without a verdict. Each score is the one shown on the model's own page.