GPT-5.2 vs Mistral Large 25.12
Side-by-side benchmark comparison across coding, math, reasoning, speed, and pricing.
GPT-5.2 by OpenAI wins on 11 of 14 benchmarks against Mistral Large 25.12 by Mistral, which leads on 2. 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 Large 25.12's 1418, while GPT-5.2 scores 83.0% on MMLU-Pro compared to Mistral Large 25.12's 73.0%.
Coding: In coding, GPT-5.2 scores 95.0% on HumanEval+ compared to Mistral Large 25.12's 82.0%, while GPT-5.2 scores 80.0% on SWE-bench Verified compared to Mistral Large 25.12's 42.0%, while GPT-5.2 scores 80.0% on LiveCodeBench compared to Mistral Large 25.12's 44.0%.
Math: In math, GPT-5.2 scores 97.0% on MATH compared to Mistral Large 25.12's 78.0%, while GPT-5.2 scores 99.0% on GSM8K compared to Mistral Large 25.12's 91.0%.
Reasoning: In reasoning, GPT-5.2 scores 92.4% on GPQA Diamond compared to Mistral Large 25.12's 52.0%, while GPT-5.2 scores 54.2% on ARC-AGI compared to Mistral Large 25.12's 28.0%.
Context: In context, GPT-5.2 scores 400K on Context Length compared to Mistral Large 25.12's 131K.
Pricing Comparison
GPT-5.2 costs $1.8/1M input tokens and $14.0/1M output tokens, while Mistral Large 25.12 costs $0.50/1M input and $1.5/1M output. Mistral Large 25.12 is the more affordable option for API usage.
Speed Comparison
GPT-5.2 generates output at 90 tok/s compared to Mistral Large 25.12's 70 tok/s, and the time to first token is 380 ms for GPT-5.2 versus 380 ms for Mistral Large 25.12. GPT-5.2 delivers faster throughput.
Verdict
For developers prioritizing coding and general intelligence and math and speed, GPT-5.2 has the edge. For those who value affordability, Mistral Large 25.12 is the stronger choice.
View Individual Model Pages
GPT-5.2 vs Mistral Large 25.12 — FAQ
Which is better, GPT-5.2 or Mistral Large 25.12?
GPT-5.2 wins on more benchmarks overall (11 vs 2). However, the best choice depends on your specific needs — each model excels in different areas.
How does GPT-5.2 compare to Mistral Large 25.12 for coding?
GPT-5.2 is better for coding, scoring 80.0% on SWE-bench Verified compared to 42.0%. SWE-bench tests real-world software engineering by resolving actual GitHub issues.
Is GPT-5.2 cheaper than Mistral Large 25.12?
Yes, Mistral Large 25.12 is cheaper. GPT-5.2 costs $1.8/1M input and $14.0/1M output tokens. Mistral Large 25.12 costs $0.50/1M input and $1.5/1M output tokens.
Which is faster, GPT-5.2 or Mistral Large 25.12?
GPT-5.2 is faster, generating output at 90 tok/s compared to 70 tok/s. Faster output speed means shorter wait times for API responses.
What benchmarks does the GPT-5.2 vs Mistral Large 25.12 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.