GPT-5.2 vs Pixtral Large
Side-by-side benchmark comparison across coding, math, reasoning, speed, and pricing.
GPT-5.2 by OpenAI wins on 13 of 14 benchmarks against Pixtral Large by Mistral, which leads on 1. 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 Pixtral Large's 1270, while GPT-5.2 scores 83.0% on MMLU-Pro compared to Pixtral Large's 70.0%.
Coding: In coding, GPT-5.2 scores 95.0% on HumanEval+ compared to Pixtral Large's 80.0%, while GPT-5.2 scores 80.0% on SWE-bench Verified compared to Pixtral Large's 35.0%, while GPT-5.2 scores 80.0% on LiveCodeBench compared to Pixtral Large's 40.0%.
Math: In math, GPT-5.2 scores 97.0% on MATH compared to Pixtral Large's 74.0%, while GPT-5.2 scores 99.0% on GSM8K compared to Pixtral Large's 90.0%.
Reasoning: In reasoning, GPT-5.2 scores 92.4% on GPQA Diamond compared to Pixtral Large's 48.0%, while GPT-5.2 scores 54.2% on ARC-AGI compared to Pixtral Large's 22.0%.
Context: In context, GPT-5.2 scores 400K on Context Length compared to Pixtral Large's 131K.
Pricing Comparison
GPT-5.2 costs $1.8/1M input tokens and $14.0/1M output tokens, while Pixtral Large costs $2.0/1M input and $6.0/1M output. GPT-5.2 is the more affordable option for API usage.
Speed Comparison
GPT-5.2 generates output at 90 tok/s compared to Pixtral Large's 60 tok/s, and the time to first token is 380 ms for GPT-5.2 versus 400 ms for Pixtral Large. GPT-5.2 delivers faster throughput.
Verdict
GPT-5.2 leads across the board in coding, general intelligence, math, affordability, speed, making it the stronger overall choice in this comparison.
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GPT-5.2 vs Pixtral Large — FAQ
Which is better, GPT-5.2 or Pixtral Large?
GPT-5.2 wins on more benchmarks overall (13 vs 1). However, the best choice depends on your specific needs — each model excels in different areas.
How does GPT-5.2 compare to Pixtral Large for coding?
GPT-5.2 is better for coding, scoring 80.0% on SWE-bench Verified compared to 35.0%. SWE-bench tests real-world software engineering by resolving actual GitHub issues.
Is GPT-5.2 cheaper than Pixtral Large?
Yes, GPT-5.2 is cheaper. GPT-5.2 costs $1.8/1M input and $14.0/1M output tokens. Pixtral Large costs $2.0/1M input and $6.0/1M output tokens.
Which is faster, GPT-5.2 or Pixtral Large?
GPT-5.2 is faster, generating output at 90 tok/s compared to 60 tok/s. Faster output speed means shorter wait times for API responses.
What benchmarks does the GPT-5.2 vs Pixtral Large 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.