GPT-5.2 vs Mistral Small 3.2
Side-by-side benchmark comparison across coding, math, reasoning, speed, and pricing.
GPT-5.2 by OpenAI wins on 10 of 14 benchmarks against Mistral Small 3.2 by Mistral, which leads on 4. This head-to-head comparison covers coding, math, reasoning, speed, and pricing metrics from the AI Value Index.
Category-by-Category Breakdown
General Intelligence: In general intelligence, GPT-5.2 scores 1475 on Chatbot Arena ELO compared to Mistral Small 3.2's 1190, while GPT-5.2 scores 83.0% on MMLU-Pro compared to Mistral Small 3.2's 58.0%.
Coding: In coding, GPT-5.2 scores 95.0% on HumanEval+ compared to Mistral Small 3.2's 70.0%, while GPT-5.2 scores 80.0% on SWE-bench Verified compared to Mistral Small 3.2's 20.0%, while GPT-5.2 scores 80.0% on LiveCodeBench compared to Mistral Small 3.2's 24.0%.
Math: In math, GPT-5.2 scores 97.0% on MATH compared to Mistral Small 3.2's 58.0%, while GPT-5.2 scores 99.0% on GSM8K compared to Mistral Small 3.2's 80.0%.
Reasoning: In reasoning, GPT-5.2 scores 92.4% on GPQA Diamond compared to Mistral Small 3.2's 30.0%, while GPT-5.2 scores 54.2% on ARC-AGI compared to Mistral Small 3.2's 10.0%.
Context: In context, GPT-5.2 scores 400K on Context Length compared to Mistral Small 3.2's 131K.
Pricing Comparison
GPT-5.2 costs $1.8/1M input tokens and $14.0/1M output tokens, while Mistral Small 3.2 costs $0.10/1M input and $0.30/1M output. Mistral Small 3.2 is the more affordable option for API usage.
Speed Comparison
GPT-5.2 generates output at 90 tok/s compared to Mistral Small 3.2's 160 tok/s, and the time to first token is 380 ms for GPT-5.2 versus 120 ms for Mistral Small 3.2. Mistral Small 3.2 delivers faster throughput.
Verdict
For developers prioritizing coding and general intelligence and math, GPT-5.2 has the edge. For those who value affordability and speed, Mistral Small 3.2 is the stronger choice.
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GPT-5.2 vs Mistral Small 3.2 — FAQ
Which is better, GPT-5.2 or Mistral Small 3.2?
GPT-5.2 wins on more benchmarks overall (10 vs 4). However, the best choice depends on your specific needs — each model excels in different areas.
How does GPT-5.2 compare to Mistral Small 3.2 for coding?
GPT-5.2 is better for coding, scoring 80.0% on SWE-bench Verified compared to 20.0%. SWE-bench tests real-world software engineering by resolving actual GitHub issues.
Is GPT-5.2 cheaper than Mistral Small 3.2?
Yes, Mistral Small 3.2 is cheaper. GPT-5.2 costs $1.8/1M input and $14.0/1M output tokens. Mistral Small 3.2 costs $0.10/1M input and $0.30/1M output tokens.
Which is faster, GPT-5.2 or Mistral Small 3.2?
Mistral Small 3.2 is faster, generating output at 160 tok/s compared to 90 tok/s. Faster output speed means shorter wait times for API responses.
What benchmarks does the GPT-5.2 vs Mistral Small 3.2 comparison cover?
This comparison covers 14 benchmarks including Chatbot Arena ELO, MMLU-Pro, HumanEval+, MATH, SWE-bench Verified, GPQA Diamond, Output Speed, Time to First Token, and more. Metrics span general intelligence, coding, math, reasoning, speed, and cost categories.