Mistral Large 25.12 vs o3 Pro
Side-by-side benchmark comparison across coding, math, reasoning, speed, and pricing.
o3 Pro by OpenAI wins on 8 of 14 benchmarks against Mistral Large 25.12 by Mistral, 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 o3 Pro's 1410, while o3 Pro scores 86.0% on MMLU-Pro compared to Mistral Large 25.12's 73.0%.
Coding: In coding, o3 Pro scores 92.0% on HumanEval+ compared to Mistral Large 25.12's 82.0%, while o3 Pro scores 70.0% on SWE-bench Verified compared to Mistral Large 25.12's 42.0%, while o3 Pro scores 75.0% on LiveCodeBench compared to Mistral Large 25.12's 44.0%.
Math: In math, o3 Pro scores 97.0% on MATH compared to Mistral Large 25.12's 78.0%, while o3 Pro scores 99.0% on GSM8K compared to Mistral Large 25.12's 91.0%.
Reasoning: In reasoning, o3 Pro scores 85.0% on GPQA Diamond compared to Mistral Large 25.12's 52.0%, while o3 Pro scores 70.0% 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 o3 Pro's 200K.
Pricing Comparison
Mistral Large 25.12 costs $0.50/1M input tokens and $1.5/1M output tokens, while o3 Pro costs $20.0/1M input and $80.0/1M 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 o3 Pro's 25 tok/s, and the time to first token is 380 ms for Mistral Large 25.12 versus 1200 ms for o3 Pro. Mistral Large 25.12 delivers faster throughput.
Verdict
For developers prioritizing general intelligence and affordability and speed, Mistral Large 25.12 has the edge. For those who value coding and math, o3 Pro is the stronger choice.
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Mistral Large 25.12 vs o3 Pro — FAQ
Which is better, Mistral Large 25.12 or o3 Pro?
o3 Pro 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 Mistral Large 25.12 compare to o3 Pro for coding?
o3 Pro is better for coding, scoring 70.0% 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 o3 Pro?
Yes, Mistral Large 25.12 is cheaper. Mistral Large 25.12 costs $0.50/1M input and $1.5/1M output tokens. o3 Pro costs $20.0/1M input and $80.0/1M output tokens.
Which is faster, Mistral Large 25.12 or o3 Pro?
Mistral Large 25.12 is faster, generating output at 70 tok/s compared to 25 tok/s. Faster output speed means shorter wait times for API responses.
What benchmarks does the Mistral Large 25.12 vs o3 Pro 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.