Mistral Large 25.12 vs o3
Side-by-side benchmark comparison across coding, math, reasoning, speed, and pricing.
o3 by OpenAI wins on 8 of 15 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 o3's 1380, while o3 scores 84.0% on MMLU-Pro compared to Mistral Large 25.12's 73.0%.
Coding: In coding, o3 scores 90.0% on HumanEval+ compared to Mistral Large 25.12's 82.0%, while o3 scores 69.1% on SWE-bench Verified compared to Mistral Large 25.12's 42.0%, while o3 scores 70.0% on LiveCodeBench compared to Mistral Large 25.12's 44.0%.
Math: In math, o3 scores 96.0% on MATH compared to Mistral Large 25.12's 78.0%, while o3 scores 98.5% on GSM8K compared to Mistral Large 25.12's 91.0%.
Reasoning: In reasoning, o3 scores 83.3% on GPQA Diamond compared to Mistral Large 25.12's 52.0%, while o3 scores 75.7% 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's 200K.
Pricing Comparison
Mistral Large 25.12 costs $0.50/1M input tokens and $1.5/1M output tokens, while o3 costs $2.0/1M input and $8.0/1M 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's 40 tok/s, and the time to first token is 380 ms for Mistral Large 25.12 versus 800 ms for o3. 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 is the stronger choice.
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Mistral Large 25.12 vs o3 — FAQ
Which is better, Mistral Large 25.12 or o3?
o3 wins on more benchmarks overall (8 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 o3 for coding?
o3 is better for coding, scoring 69.1% 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 o3?
Yes, Mistral Large 25.12 is cheaper. Mistral Large 25.12 costs $0.50/1M input and $1.5/1M output tokens. o3 costs $2.0/1M input and $8.0/1M output tokens.
Which is faster, Mistral Large 25.12 or o3?
Mistral Large 25.12 is faster, generating output at 70 tok/s compared to 40 tok/s. Faster output speed means shorter wait times for API responses.
What benchmarks does the Mistral Large 25.12 vs o3 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.