Mistral Large 25.12 vs o4 Mini
Side-by-side benchmark comparison across coding, math, reasoning, speed, and pricing.
o4 Mini by OpenAI wins on 10 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 o4 Mini's 1350, while o4 Mini scores 80.0% on MMLU-Pro compared to Mistral Large 25.12's 73.0%.
Coding: In coding, o4 Mini scores 88.0% on HumanEval+ compared to Mistral Large 25.12's 82.0%, while o4 Mini scores 68.1% on SWE-bench Verified compared to Mistral Large 25.12's 42.0%, while o4 Mini scores 58.0% on LiveCodeBench compared to Mistral Large 25.12's 44.0%.
Math: In math, o4 Mini scores 93.0% on MATH compared to Mistral Large 25.12's 78.0%, while o4 Mini scores 97.5% on GSM8K compared to Mistral Large 25.12's 91.0%.
Reasoning: In reasoning, o4 Mini scores 81.4% on GPQA Diamond compared to Mistral Large 25.12's 52.0%, while o4 Mini scores 55.0% on ARC-AGI compared to Mistral Large 25.12's 28.0%.
Context: In context, Mistral Large 25.12 scores 262K on Context Length compared to o4 Mini's 200K.
Pricing Comparison
Mistral Large 25.12 costs $0.50/1M input tokens and $1.5/1M output tokens, while o4 Mini costs $1.1/1M input and $4.4/1M output. Mistral Large 25.12 is the more affordable option for API usage.
Speed Comparison
Mistral Large 25.12 generates output at 70 tok/s compared to o4 Mini's 120 tok/s, and the time to first token is 380 ms for Mistral Large 25.12 versus 300 ms for o4 Mini. o4 Mini delivers faster throughput.
Verdict
For developers prioritizing general intelligence and affordability, Mistral Large 25.12 has the edge. For those who value coding and math and speed, o4 Mini is the stronger choice.
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Mistral Large 25.12 vs o4 Mini — FAQ
Which is better, Mistral Large 25.12 or o4 Mini?
o4 Mini wins on more benchmarks overall (10 vs 5). However, the best choice depends on your specific needs — each model excels in different areas.
How does Mistral Large 25.12 compare to o4 Mini for coding?
o4 Mini is better for coding, scoring 68.1% on SWE-bench Verified compared to 42.0%. SWE-bench tests real-world software engineering by resolving actual GitHub issues.
Is Mistral Large 25.12 cheaper than o4 Mini?
Yes, Mistral Large 25.12 is cheaper. Mistral Large 25.12 costs $0.50/1M input and $1.5/1M output tokens. o4 Mini costs $1.1/1M input and $4.4/1M output tokens.
Which is faster, Mistral Large 25.12 or o4 Mini?
o4 Mini is faster, generating output at 120 tok/s compared to 70 tok/s. Faster output speed means shorter wait times for API responses.
What benchmarks does the Mistral Large 25.12 vs o4 Mini 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.