DeepSeek R1 vs Mistral Large 25.12
Side-by-side benchmark comparison across coding, math, reasoning, speed, and pricing.
DeepSeek R1 by DeepSeek wins on 9 of 17 benchmarks against Mistral Large 25.12 by Mistral, which leads on 8. 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 DeepSeek R1's 1355, while DeepSeek R1 scores 84.0% on MMLU-Pro compared to Mistral Large 25.12's 73.0%, while DeepSeek R1 scores 11.4 on AA Intelligence Index compared to Mistral Large 25.12's 9.7.
Coding: In coding, DeepSeek R1 scores 86.0% on HumanEval+ compared to Mistral Large 25.12's 82.0%, while DeepSeek R1 scores 49.2% on SWE-bench Verified compared to Mistral Large 25.12's 42.0%, while DeepSeek R1 scores 50.0% on LiveCodeBench compared to Mistral Large 25.12's 44.0%, while DeepSeek R1 scores 24.6 on AA Coding Index compared to Mistral Large 25.12's 20.1.
Math: In math, DeepSeek R1 scores 97.3% on MATH compared to Mistral Large 25.12's 78.0%, while DeepSeek R1 scores 97.0% on GSM8K compared to Mistral Large 25.12's 91.0%.
Reasoning: In reasoning, DeepSeek R1 scores 71.5% on GPQA Diamond compared to Mistral Large 25.12's 52.0%, while Mistral Large 25.12 scores 28.0% on ARC-AGI compared to DeepSeek R1's 14.0%, while Mistral Large 25.12 scores 2.4 on AA Agentic Index compared to DeepSeek R1's 1.1.
Context: In context, Mistral Large 25.12 scores 262K on Context Length compared to DeepSeek R1's 64K.
Pricing Comparison
DeepSeek R1 costs $0.70/1M input tokens and $2.5/1M output tokens, while Mistral Large 25.12 costs $0.50/1M input and $1.5/1M output. Mistral Large 25.12 is the more affordable option for API usage.
Speed Comparison
DeepSeek R1 generates output at 35 tok/s compared to Mistral Large 25.12's 70 tok/s, and the time to first token is 950 ms for DeepSeek R1 versus 380 ms for Mistral Large 25.12. Mistral Large 25.12 delivers faster throughput.
Verdict
For developers prioritizing coding and math, DeepSeek R1 has the edge. For those who value general intelligence and affordability and speed, Mistral Large 25.12 is the stronger choice.
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DeepSeek R1 vs Mistral Large 25.12 — FAQ
Which is better, DeepSeek R1 or Mistral Large 25.12?
DeepSeek R1 wins on more benchmarks overall (9 vs 8). However, the best choice depends on your specific needs — each model excels in different areas.
How does DeepSeek R1 compare to Mistral Large 25.12 for coding?
DeepSeek R1 is better for coding, scoring 49.2% on SWE-bench Verified compared to 42.0%. SWE-bench tests real-world software engineering by resolving actual GitHub issues.
Is DeepSeek R1 cheaper than Mistral Large 25.12?
Yes, Mistral Large 25.12 is cheaper. DeepSeek R1 costs $0.70/1M input and $2.5/1M output tokens. Mistral Large 25.12 costs $0.50/1M input and $1.5/1M output tokens.
Which is faster, DeepSeek R1 or Mistral Large 25.12?
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 DeepSeek R1 vs Mistral Large 25.12 comparison cover?
This comparison covers 17 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.