GPT-4o 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 11 of 15 benchmarks against GPT-4o by OpenAI, 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-4o's 1280, while Mistral Large 25.12 scores 73.0% on MMLU-Pro compared to GPT-4o's 72.6%.
Coding: In coding, GPT-4o scores 87.2% on HumanEval+ compared to Mistral Large 25.12's 82.0%, while Mistral Large 25.12 scores 42.0% on SWE-bench Verified compared to GPT-4o's 30.7%, while Mistral Large 25.12 scores 44.0% on LiveCodeBench compared to GPT-4o's 38.0%.
Math: In math, Mistral Large 25.12 scores 78.0% on MATH compared to GPT-4o's 74.6%, while GPT-4o scores 92.0% on GSM8K compared to Mistral Large 25.12's 91.0%.
Reasoning: In reasoning, GPT-4o scores 53.6% on GPQA Diamond compared to Mistral Large 25.12's 52.0%, while Mistral Large 25.12 scores 28.0% on ARC-AGI compared to GPT-4o's 5.0%.
Context: In context, Mistral Large 25.12 scores 262K on Context Length compared to GPT-4o's 128K.
Pricing Comparison
GPT-4o costs $2.5/1M 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-4o generates output at 143 tok/s compared to Mistral Large 25.12's 70 tok/s, and the time to first token is 450 ms for GPT-4o versus 380 ms for Mistral Large 25.12. GPT-4o delivers faster throughput.
Verdict
For developers prioritizing speed, GPT-4o has the edge. For those who value coding and general intelligence and math and affordability, Mistral Large 25.12 is the stronger choice.
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GPT-4o vs Mistral Large 25.12 — FAQ
Which is better, GPT-4o or Mistral Large 25.12?
Mistral Large 25.12 wins on more benchmarks overall (11 vs 4). However, the best choice depends on your specific needs — each model excels in different areas.
How does GPT-4o 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 30.7%. SWE-bench tests real-world software engineering by resolving actual GitHub issues.
Is GPT-4o cheaper than Mistral Large 25.12?
Yes, Mistral Large 25.12 is cheaper. GPT-4o costs $2.5/1M 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-4o or Mistral Large 25.12?
GPT-4o is faster, generating output at 143 tok/s compared to 70 tok/s. Faster output speed means shorter wait times for API responses.
What benchmarks does the GPT-4o 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.