DeepSeek V3.2 vs Gemini 2.5 Pro
Side-by-side benchmark comparison across coding, math, reasoning, speed, and pricing.
Gemini 2.5 Pro by Google wins on 10 of 16 benchmarks against DeepSeek V3.2 by DeepSeek, which leads on 6. This head-to-head comparison covers coding, math, reasoning, speed, and pricing metrics from our benchmark data.
Category-by-Category Breakdown
General Intelligence: In general intelligence, Gemini 2.5 Pro scores 1465 on Chatbot Arena ELO compared to DeepSeek V3.2's 1370, while Gemini 2.5 Pro scores 84.0% on MMLU-Pro compared to DeepSeek V3.2's 82.0%.
Coding: In coding, Gemini 2.5 Pro scores 89.0% on HumanEval+ compared to DeepSeek V3.2's 87.0%, while DeepSeek V3.2 scores 73.0% on SWE-bench Verified compared to Gemini 2.5 Pro's 63.8%, while Gemini 2.5 Pro scores 58.0% on LiveCodeBench compared to DeepSeek V3.2's 55.0%, while DeepSeek V3.2 scores 44.2 on AA Coding Index compared to Gemini 2.5 Pro's 33.3.
Math: In math, Gemini 2.5 Pro scores 88.0% on MATH compared to DeepSeek V3.2's 85.0%, while Gemini 2.5 Pro scores 95.5% on GSM8K compared to DeepSeek V3.2's 94.0%.
Reasoning: In reasoning, Gemini 2.5 Pro scores 84.0% on GPQA Diamond compared to DeepSeek V3.2's 60.0%, while Gemini 2.5 Pro scores 48.0% on ARC-AGI compared to DeepSeek V3.2's 42.0%.
Context: In context, Gemini 2.5 Pro scores 1.0M on Context Length compared to DeepSeek V3.2's 164K.
Pricing Comparison
DeepSeek V3.2 costs $0.27/1M input tokens and $0.40/1M output tokens, while Gemini 2.5 Pro costs $1.3/1M input and $10.0/1M output. DeepSeek V3.2 is the more affordable option for API usage.
Speed Comparison
DeepSeek V3.2 generates output at 70 tok/s compared to Gemini 2.5 Pro's 55 tok/s, and the time to first token is 400 ms for DeepSeek V3.2 versus 500 ms for Gemini 2.5 Pro. DeepSeek V3.2 delivers faster throughput.
Verdict
For developers prioritizing coding and affordability and speed, DeepSeek V3.2 has the edge. For those who value general intelligence and math, Gemini 2.5 Pro is the stronger choice.
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DeepSeek V3.2 vs Gemini 2.5 Pro — FAQ
Which is better, DeepSeek V3.2 or Gemini 2.5 Pro?
Gemini 2.5 Pro wins on more benchmarks overall (10 vs 6). However, the best choice depends on your specific needs — each model excels in different areas.
How does DeepSeek V3.2 compare to Gemini 2.5 Pro for coding?
DeepSeek V3.2 is better for coding, scoring 73.0% on SWE-bench Verified compared to 63.8%. SWE-bench tests real-world software engineering by resolving actual GitHub issues.
Is DeepSeek V3.2 cheaper than Gemini 2.5 Pro?
Yes, DeepSeek V3.2 is cheaper. DeepSeek V3.2 costs $0.27/1M input and $0.40/1M output tokens. Gemini 2.5 Pro costs $1.3/1M input and $10.0/1M output tokens.
Which is faster, DeepSeek V3.2 or Gemini 2.5 Pro?
DeepSeek V3.2 is faster, generating output at 70 tok/s compared to 55 tok/s. Faster output speed means shorter wait times for API responses.
What benchmarks does the DeepSeek V3.2 vs Gemini 2.5 Pro comparison cover?
This comparison covers 16 benchmarks including Chatbot Arena ELO, MMLU-Pro, HumanEval+, MATH, GPQA Diamond, SWE-bench Verified, Output Speed, LiveCodeBench, and more. Metrics span general intelligence, coding, math, reasoning, speed, and cost categories.