Mistral Large 25.12 vs o1
Side-by-side benchmark comparison across coding, math, reasoning, speed, and pricing.
o1 by OpenAI wins on 9 of 16 benchmarks against Mistral Large 25.12 by Mistral, which leads on 7. 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 o1's 1360, while o1 scores 82.0% on MMLU-Pro compared to Mistral Large 25.12's 73.0%.
Coding: In coding, o1 scores 89.0% on HumanEval+ compared to Mistral Large 25.12's 82.0%, while o1 scores 48.9% on SWE-bench Verified compared to Mistral Large 25.12's 42.0%, while o1 scores 55.0% on LiveCodeBench compared to Mistral Large 25.12's 44.0%, while o1 scores 39.7 on AA Coding Index compared to Mistral Large 25.12's 20.1.
Math: In math, o1 scores 94.8% on MATH compared to Mistral Large 25.12's 78.0%, while o1 scores 97.5% on GSM8K compared to Mistral Large 25.12's 91.0%.
Reasoning: In reasoning, o1 scores 77.3% on GPQA Diamond compared to Mistral Large 25.12's 52.0%, while o1 scores 32.0% 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 o1's 200K.
Pricing Comparison
Mistral Large 25.12 costs $0.50/1M input tokens and $1.5/1M output tokens, while o1 costs $15.0/1M input and $60.0/1M 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 o1's 35 tok/s, and the time to first token is 380 ms for Mistral Large 25.12 versus 1000 ms for o1. 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, o1 is the stronger choice.
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Mistral Large 25.12 vs o1 — FAQ
Which is better, Mistral Large 25.12 or o1?
o1 wins on more benchmarks overall (9 vs 7). However, the best choice depends on your specific needs — each model excels in different areas.
How does Mistral Large 25.12 compare to o1 for coding?
o1 is better for coding, scoring 48.9% 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 o1?
Yes, Mistral Large 25.12 is cheaper. Mistral Large 25.12 costs $0.50/1M input and $1.5/1M output tokens. o1 costs $15.0/1M input and $60.0/1M output tokens.
Which is faster, Mistral Large 25.12 or o1?
Mistral Large 25.12 is faster, generating output at 70 tok/s compared to 35 tok/s. Faster output speed means shorter wait times for API responses.
What benchmarks does the Mistral Large 25.12 vs o1 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.