GPT-4.1 Mini 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 16 benchmarks against GPT-4.1 Mini by OpenAI, 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 Mini's 1250, while Mistral Large 25.12 scores 73.0% on MMLU-Pro compared to GPT-4.1 Mini's 68.0%.
Coding: In coding, Mistral Large 25.12 scores 82.0% on HumanEval+ compared to GPT-4.1 Mini's 80.0%, while Mistral Large 25.12 scores 42.0% on SWE-bench Verified compared to GPT-4.1 Mini's 35.0%, while Mistral Large 25.12 scores 44.0% on LiveCodeBench compared to GPT-4.1 Mini's 40.0%, while GPT-4.1 Mini scores 20.2 on AA Coding Index compared to Mistral Large 25.12's 20.1.
Math: In math, Mistral Large 25.12 scores 78.0% on MATH compared to GPT-4.1 Mini's 72.0%, while Mistral Large 25.12 scores 91.0% on GSM8K compared to GPT-4.1 Mini's 90.0%.
Reasoning: In reasoning, Mistral Large 25.12 scores 52.0% on GPQA Diamond compared to GPT-4.1 Mini's 42.0%, while Mistral Large 25.12 scores 28.0% on ARC-AGI compared to GPT-4.1 Mini's 22.0%.
Context: In context, GPT-4.1 Mini scores 1.0M on Context Length compared to Mistral Large 25.12's 262K.
Pricing Comparison
GPT-4.1 Mini costs $0.40/1M input tokens and $1.6/1M output tokens, while Mistral Large 25.12 costs $0.50/1M input and $1.5/1M output. GPT-4.1 Mini is the more affordable option for API usage.
Speed Comparison
GPT-4.1 Mini generates output at 160 tok/s compared to Mistral Large 25.12's 70 tok/s, and the time to first token is 130 ms for GPT-4.1 Mini versus 380 ms for Mistral Large 25.12. GPT-4.1 Mini delivers faster throughput.
Verdict
For developers prioritizing affordability and speed, GPT-4.1 Mini has the edge. For those who value coding and general intelligence and math, Mistral Large 25.12 is the stronger choice.
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GPT-4.1 Mini vs Mistral Large 25.12 — FAQ
Which is better, GPT-4.1 Mini or Mistral Large 25.12?
Mistral Large 25.12 wins on more benchmarks overall (11 vs 5). However, the best choice depends on your specific needs — each model excels in different areas.
How does GPT-4.1 Mini 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 35.0%. SWE-bench tests real-world software engineering by resolving actual GitHub issues.
Is GPT-4.1 Mini cheaper than Mistral Large 25.12?
Yes, GPT-4.1 Mini is cheaper. GPT-4.1 Mini costs $0.40/1M input and $1.6/1M output tokens. Mistral Large 25.12 costs $0.50/1M input and $1.5/1M output tokens.
Which is faster, GPT-4.1 Mini or Mistral Large 25.12?
GPT-4.1 Mini is faster, generating output at 160 tok/s compared to 70 tok/s. Faster output speed means shorter wait times for API responses.
What benchmarks does the GPT-4.1 Mini 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.