GPT-4.5 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 8 of 14 benchmarks against GPT-4.5 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-4.5's 1310, while GPT-4.5 scores 78.0% on MMLU-Pro compared to Mistral Large 25.12's 73.0%.
Coding: In coding, GPT-4.5 scores 88.0% 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-4.5's 38.0%, while GPT-4.5 scores 45.0% on LiveCodeBench compared to Mistral Large 25.12's 44.0%.
Math: In math, GPT-4.5 scores 82.0% on MATH compared to Mistral Large 25.12's 78.0%, while GPT-4.5 scores 94.0% on GSM8K compared to Mistral Large 25.12's 91.0%.
Reasoning: In reasoning, GPT-4.5 scores 71.4% 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-4.5's 20.0%.
Context: In context, Mistral Large 25.12 scores 262K on Context Length compared to GPT-4.5's 128K.
Pricing Comparison
GPT-4.5 costs $75.0/1M input tokens and $150.0/1M 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-4.5 generates output at 60 tok/s compared to Mistral Large 25.12's 70 tok/s, and the time to first token is 600 ms for GPT-4.5 versus 380 ms for Mistral Large 25.12. Mistral Large 25.12 delivers faster throughput.
Verdict
For developers prioritizing math, GPT-4.5 has the edge. For those who value coding and general intelligence and affordability and speed, Mistral Large 25.12 is the stronger choice.
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GPT-4.5 vs Mistral Large 25.12 — FAQ
Which is better, GPT-4.5 or Mistral Large 25.12?
Mistral Large 25.12 wins on more benchmarks overall (8 vs 6). However, the best choice depends on your specific needs — each model excels in different areas.
How does GPT-4.5 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 38.0%. SWE-bench tests real-world software engineering by resolving actual GitHub issues.
Is GPT-4.5 cheaper than Mistral Large 25.12?
Yes, Mistral Large 25.12 is cheaper. GPT-4.5 costs $75.0/1M input and $150.0/1M output tokens. Mistral Large 25.12 costs $0.50/1M input and $1.5/1M output tokens.
Which is faster, GPT-4.5 or Mistral Large 25.12?
Mistral Large 25.12 is faster, generating output at 70 tok/s compared to 60 tok/s. Faster output speed means shorter wait times for API responses.
What benchmarks does the GPT-4.5 vs Mistral Large 25.12 comparison cover?
This comparison covers 14 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.