DeepSeek V3.2 vs GPT-5

Side-by-side benchmark comparison across coding, math, reasoning, speed, and pricing.

GPT-5 by OpenAI wins on 13 of 16 benchmarks against DeepSeek V3.2 by DeepSeek, which leads on 3. 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, GPT-5 scores 1390 on Chatbot Arena ELO compared to DeepSeek V3.2's 1370, while GPT-5 scores 86.0% on MMLU-Pro compared to DeepSeek V3.2's 82.0%.

Coding: In coding, GPT-5 scores 92.0% on HumanEval+ compared to DeepSeek V3.2's 87.0%, while GPT-5 scores 74.9% on SWE-bench Verified compared to DeepSeek V3.2's 73.0%, while GPT-5 scores 78.0% on LiveCodeBench compared to DeepSeek V3.2's 55.0%, while DeepSeek V3.2 scores 44.2 on AA Coding Index compared to GPT-5's 37.8.

Math: In math, GPT-5 scores 94.6% on MATH compared to DeepSeek V3.2's 85.0%, while GPT-5 scores 98.0% on GSM8K compared to DeepSeek V3.2's 94.0%.

Reasoning: In reasoning, GPT-5 scores 87.3% on GPQA Diamond compared to DeepSeek V3.2's 60.0%, while GPT-5 scores 50.0% on ARC-AGI compared to DeepSeek V3.2's 42.0%.

Context: In context, GPT-5 scores 400K 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 GPT-5 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 GPT-5's 100 tok/s, and the time to first token is 400 ms for DeepSeek V3.2 versus 320 ms for GPT-5. GPT-5 delivers faster throughput.

Verdict

For developers prioritizing affordability, DeepSeek V3.2 has the edge. For those who value coding and general intelligence and math and speed, GPT-5 is the stronger choice.

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DeepSeek V3.2 vs GPT-5 — FAQ

Which is better, DeepSeek V3.2 or GPT-5?

GPT-5 wins on more benchmarks overall (13 vs 3). However, the best choice depends on your specific needs — each model excels in different areas.

How does DeepSeek V3.2 compare to GPT-5 for coding?

GPT-5 is better for coding, scoring 74.9% on SWE-bench Verified compared to 73.0%. SWE-bench tests real-world software engineering by resolving actual GitHub issues.

Is DeepSeek V3.2 cheaper than GPT-5?

Yes, DeepSeek V3.2 is cheaper. DeepSeek V3.2 costs $0.27/1M input and $0.40/1M output tokens. GPT-5 costs $1.3/1M input and $10.0/1M output tokens.

Which is faster, DeepSeek V3.2 or GPT-5?

GPT-5 is faster, generating output at 100 tok/s compared to 70 tok/s. Faster output speed means shorter wait times for API responses.

What benchmarks does the DeepSeek V3.2 vs GPT-5 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.