GPT-5 vs Mistral Large 25.12
Side-by-side benchmark comparison across coding, math, reasoning, speed, and pricing.
GPT-5 by OpenAI wins on 12 of 16 benchmarks against Mistral Large 25.12 by Mistral, which leads on 4. 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, Mistral Large 25.12 scores 1418 on Chatbot Arena ELO compared to GPT-5's 1390, while GPT-5 scores 86.0% on MMLU-Pro compared to Mistral Large 25.12's 73.0%.
Coding: In coding, GPT-5 scores 92.0% on HumanEval+ compared to Mistral Large 25.12's 82.0%, while GPT-5 scores 74.9% on SWE-bench Verified compared to Mistral Large 25.12's 42.0%, while GPT-5 scores 78.0% on LiveCodeBench compared to Mistral Large 25.12's 44.0%, while GPT-5 scores 37.8 on AA Coding Index compared to Mistral Large 25.12's 20.1.
Math: In math, GPT-5 scores 94.6% on MATH compared to Mistral Large 25.12's 78.0%, while GPT-5 scores 98.0% on GSM8K compared to Mistral Large 25.12's 91.0%.
Reasoning: In reasoning, GPT-5 scores 87.3% on GPQA Diamond compared to Mistral Large 25.12's 52.0%, while GPT-5 scores 50.0% on ARC-AGI compared to Mistral Large 25.12's 28.0%.
Context: In context, GPT-5 scores 400K on Context Length compared to Mistral Large 25.12's 262K.
Pricing Comparison
GPT-5 costs $1.3/1M input tokens and $10.0/1M 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 generates output at 100 tok/s compared to Mistral Large 25.12's 70 tok/s, and the time to first token is 320 ms for GPT-5 versus 380 ms for Mistral Large 25.12. GPT-5 delivers faster throughput.
Verdict
For developers prioritizing coding and math and speed, GPT-5 has the edge. For those who value general intelligence and affordability, Mistral Large 25.12 is the stronger choice.
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GPT-5 vs Mistral Large 25.12 — FAQ
Which is better, GPT-5 or Mistral Large 25.12?
GPT-5 wins on more benchmarks overall (12 vs 4). However, the best choice depends on your specific needs — each model excels in different areas.
How does GPT-5 compare to Mistral Large 25.12 for coding?
GPT-5 is better for coding, scoring 74.9% on SWE-bench Verified compared to 42.0%. SWE-bench tests real-world software engineering by resolving actual GitHub issues.
Is GPT-5 cheaper than Mistral Large 25.12?
Yes, Mistral Large 25.12 is cheaper. GPT-5 costs $1.3/1M input and $10.0/1M output tokens. Mistral Large 25.12 costs $0.50/1M input and $1.5/1M output tokens.
Which is faster, GPT-5 or Mistral Large 25.12?
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 GPT-5 vs Mistral Large 25.12 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.