GPT-4.1 vs Mistral Large 25.12
Side-by-side benchmark comparison across coding, math, reasoning, speed, and pricing.
GPT-4.1 by OpenAI wins on 9 of 15 benchmarks against Mistral Large 25.12 by Mistral, which leads on 5. 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-4.1's 1340, while GPT-4.1 scores 78.0% on MMLU-Pro compared to Mistral Large 25.12's 73.0%.
Coding: In coding, GPT-4.1 scores 89.0% on HumanEval+ compared to Mistral Large 25.12's 82.0%, while GPT-4.1 scores 50.0% on SWE-bench Verified compared to Mistral Large 25.12's 42.0%, while GPT-4.1 scores 55.0% on LiveCodeBench compared to Mistral Large 25.12's 44.0%.
Math: In math, GPT-4.1 scores 83.0% on MATH compared to Mistral Large 25.12's 78.0%, while GPT-4.1 scores 94.0% on GSM8K compared to Mistral Large 25.12's 91.0%.
Reasoning: In reasoning, GPT-4.1 scores 58.0% on GPQA Diamond compared to Mistral Large 25.12's 52.0%, while GPT-4.1 scores 40.0% on ARC-AGI compared to Mistral Large 25.12's 28.0%.
Context: In context, GPT-4.1 scores 1.0M on Context Length compared to Mistral Large 25.12's 262K.
Pricing Comparison
GPT-4.1 costs $2.0/1M input tokens and $8.0/1M 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-4.1 generates output at 70 tok/s compared to Mistral Large 25.12's 70 tok/s, and the time to first token is 450 ms for GPT-4.1 versus 380 ms for Mistral Large 25.12. Both models offer similar output speed.
Verdict
For developers prioritizing coding and math, GPT-4.1 has the edge. For those who value general intelligence and affordability, Mistral Large 25.12 is the stronger choice.
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GPT-4.1 vs Mistral Large 25.12 — FAQ
Which is better, GPT-4.1 or Mistral Large 25.12?
GPT-4.1 wins on more benchmarks overall (9 vs 5). However, the best choice depends on your specific needs — each model excels in different areas.
How does GPT-4.1 compare to Mistral Large 25.12 for coding?
GPT-4.1 is better for coding, scoring 50.0% on SWE-bench Verified compared to 42.0%. SWE-bench tests real-world software engineering by resolving actual GitHub issues.
Is GPT-4.1 cheaper than Mistral Large 25.12?
Yes, Mistral Large 25.12 is cheaper. GPT-4.1 costs $2.0/1M input and $8.0/1M output tokens. Mistral Large 25.12 costs $0.50/1M input and $1.5/1M output tokens.
Which is faster, GPT-4.1 or Mistral Large 25.12?
Both models generate output at the same speed of 70 tok/s.
What benchmarks does the GPT-4.1 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.