DeepSeek R1 0528 vs Pixtral Large
Side-by-side benchmark comparison across coding, math, reasoning, speed, and pricing.
DeepSeek R1 0528 by DeepSeek wins on 10 of 14 benchmarks against Pixtral Large by Mistral, which leads on 3. This head-to-head comparison covers coding, math, reasoning, speed, and pricing metrics from the AI Value Index.
Category-by-Category Breakdown
General Intelligence: In general intelligence, DeepSeek R1 0528 scores 1375 on Chatbot Arena ELO compared to Pixtral Large's 1270, while DeepSeek R1 0528 scores 84.0% on MMLU-Pro compared to Pixtral Large's 70.0%.
Coding: In coding, DeepSeek R1 0528 scores 88.0% on HumanEval+ compared to Pixtral Large's 80.0%, while DeepSeek R1 0528 scores 55.0% on SWE-bench Verified compared to Pixtral Large's 35.0%, while DeepSeek R1 0528 scores 58.0% on LiveCodeBench compared to Pixtral Large's 40.0%.
Math: In math, DeepSeek R1 0528 scores 96.0% on MATH compared to Pixtral Large's 74.0%, while DeepSeek R1 0528 scores 97.5% on GSM8K compared to Pixtral Large's 90.0%.
Reasoning: In reasoning, DeepSeek R1 0528 scores 81.0% on GPQA Diamond compared to Pixtral Large's 48.0%, while Pixtral Large scores 22.0% on ARC-AGI compared to DeepSeek R1 0528's 15.0%.
Context: In context, both score 131K on Context Length.
Pricing Comparison
DeepSeek R1 0528 costs $0.55/1M input tokens and $2.2/1M output tokens, while Pixtral Large costs $2.0/1M input and $6.0/1M output. DeepSeek R1 0528 is the more affordable option for API usage.
Speed Comparison
DeepSeek R1 0528 generates output at 40 tok/s compared to Pixtral Large's 60 tok/s, and the time to first token is 900 ms for DeepSeek R1 0528 versus 400 ms for Pixtral Large. Pixtral Large delivers faster throughput.
Verdict
For developers prioritizing coding and general intelligence and math and affordability, DeepSeek R1 0528 has the edge. For those who value speed, Pixtral Large is the stronger choice.
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DeepSeek R1 0528 vs Pixtral Large — FAQ
Which is better, DeepSeek R1 0528 or Pixtral Large?
DeepSeek R1 0528 wins on more benchmarks overall (10 vs 3). However, the best choice depends on your specific needs — each model excels in different areas.
How does DeepSeek R1 0528 compare to Pixtral Large for coding?
DeepSeek R1 0528 is better for coding, scoring 55.0% on SWE-bench Verified compared to 35.0%. SWE-bench tests real-world software engineering by resolving actual GitHub issues.
Is DeepSeek R1 0528 cheaper than Pixtral Large?
Yes, DeepSeek R1 0528 is cheaper. DeepSeek R1 0528 costs $0.55/1M input and $2.2/1M output tokens. Pixtral Large costs $2.0/1M input and $6.0/1M output tokens.
Which is faster, DeepSeek R1 0528 or Pixtral Large?
Pixtral Large is faster, generating output at 60 tok/s compared to 40 tok/s. Faster output speed means shorter wait times for API responses.
What benchmarks does the DeepSeek R1 0528 vs Pixtral Large comparison cover?
This comparison covers 14 benchmarks including Chatbot Arena ELO, MMLU-Pro, HumanEval+, MATH, SWE-bench Verified, GPQA Diamond, Output Speed, Time to First Token, and more. Metrics span general intelligence, coding, math, reasoning, speed, and cost categories.