GPT-5 Nano vs Mistral Large 25.12
Side-by-side benchmark comparison across coding, math, reasoning, speed, and pricing.
Mistral Large 25.12 by Mistral wins on 9 of 15 benchmarks against GPT-5 Nano by OpenAI, which leads on 6. 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 Nano's 1200, while Mistral Large 25.12 scores 73.0% on MMLU-Pro compared to GPT-5 Nano's 62.0%.
Coding: In coding, Mistral Large 25.12 scores 82.0% on HumanEval+ compared to GPT-5 Nano's 72.0%, while Mistral Large 25.12 scores 42.0% on SWE-bench Verified compared to GPT-5 Nano's 25.0%, while Mistral Large 25.12 scores 44.0% on LiveCodeBench compared to GPT-5 Nano's 30.0%.
Math: In math, Mistral Large 25.12 scores 78.0% on MATH compared to GPT-5 Nano's 65.0%, while Mistral Large 25.12 scores 91.0% on GSM8K compared to GPT-5 Nano's 85.0%.
Reasoning: In reasoning, Mistral Large 25.12 scores 52.0% on GPQA Diamond compared to GPT-5 Nano's 35.0%, while Mistral Large 25.12 scores 28.0% on ARC-AGI compared to GPT-5 Nano's 15.0%.
Context: In context, GPT-5 Nano scores 400K on Context Length compared to Mistral Large 25.12's 262K.
Pricing Comparison
GPT-5 Nano costs $0.05/1M input tokens and $0.40/1M output tokens, while Mistral Large 25.12 costs $0.50/1M input and $1.5/1M output. GPT-5 Nano is the more affordable option for API usage.
Speed Comparison
GPT-5 Nano generates output at 250 tok/s compared to Mistral Large 25.12's 70 tok/s, and the time to first token is 80 ms for GPT-5 Nano versus 380 ms for Mistral Large 25.12. GPT-5 Nano delivers faster throughput.
Verdict
For developers prioritizing affordability and speed, GPT-5 Nano has the edge. For those who value coding and general intelligence and math, Mistral Large 25.12 is the stronger choice.
View Individual Model Pages
GPT-5 Nano vs Mistral Large 25.12 — FAQ
Which is better, GPT-5 Nano or Mistral Large 25.12?
Mistral Large 25.12 wins on more benchmarks overall (9 vs 6). However, the best choice depends on your specific needs — each model excels in different areas.
How does GPT-5 Nano compare to Mistral Large 25.12 for coding?
Mistral Large 25.12 is better for coding, scoring 42.0% on SWE-bench Verified compared to 25.0%. SWE-bench tests real-world software engineering by resolving actual GitHub issues.
Is GPT-5 Nano cheaper than Mistral Large 25.12?
Yes, GPT-5 Nano is cheaper. GPT-5 Nano costs $0.05/1M input and $0.40/1M output tokens. Mistral Large 25.12 costs $0.50/1M input and $1.5/1M output tokens.
Which is faster, GPT-5 Nano or Mistral Large 25.12?
GPT-5 Nano is faster, generating output at 250 tok/s compared to 70 tok/s. Faster output speed means shorter wait times for API responses.
What benchmarks does the GPT-5 Nano vs Mistral Large 25.12 comparison cover?
This comparison covers 15 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.