DeepSeek R1 0528 vs Llama 4 Scout
Side-by-side benchmark comparison across coding, math, reasoning, speed, and pricing.
DeepSeek R1 0528 by DeepSeek wins on 8 of 14 benchmarks against Llama 4 Scout by Meta, which leads on 6. 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 Llama 4 Scout's 1240, while DeepSeek R1 0528 scores 84.0% on MMLU-Pro compared to Llama 4 Scout's 74.3%.
Coding: In coding, DeepSeek R1 0528 scores 88.0% on HumanEval+ compared to Llama 4 Scout's 75.0%, while DeepSeek R1 0528 scores 55.0% on SWE-bench Verified compared to Llama 4 Scout's 28.0%, while DeepSeek R1 0528 scores 58.0% on LiveCodeBench compared to Llama 4 Scout's 32.0%.
Math: In math, DeepSeek R1 0528 scores 96.0% on MATH compared to Llama 4 Scout's 68.0%, while DeepSeek R1 0528 scores 97.5% on GSM8K compared to Llama 4 Scout's 86.0%.
Reasoning: In reasoning, DeepSeek R1 0528 scores 81.0% on GPQA Diamond compared to Llama 4 Scout's 38.0%, while Llama 4 Scout scores 16.0% on ARC-AGI compared to DeepSeek R1 0528's 15.0%.
Context: In context, Llama 4 Scout scores 10.0M on Context Length compared to DeepSeek R1 0528's 131K.
Pricing Comparison
DeepSeek R1 0528 costs $0.55/1M input tokens and $2.2/1M output tokens, while Llama 4 Scout costs $0.17/1M input and $0.50/1M output. Llama 4 Scout is the more affordable option for API usage.
Speed Comparison
DeepSeek R1 0528 generates output at 40 tok/s compared to Llama 4 Scout's 140 tok/s, and the time to first token is 900 ms for DeepSeek R1 0528 versus 330 ms for Llama 4 Scout. Llama 4 Scout delivers faster throughput.
Verdict
For developers prioritizing coding and general intelligence and math, DeepSeek R1 0528 has the edge. For those who value affordability and speed, Llama 4 Scout is the stronger choice.
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DeepSeek R1 0528 vs Llama 4 Scout — FAQ
Which is better, DeepSeek R1 0528 or Llama 4 Scout?
DeepSeek R1 0528 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 DeepSeek R1 0528 compare to Llama 4 Scout for coding?
DeepSeek R1 0528 is better for coding, scoring 55.0% on SWE-bench Verified compared to 28.0%. SWE-bench tests real-world software engineering by resolving actual GitHub issues.
Is DeepSeek R1 0528 cheaper than Llama 4 Scout?
Yes, Llama 4 Scout is cheaper. DeepSeek R1 0528 costs $0.55/1M input and $2.2/1M output tokens. Llama 4 Scout costs $0.17/1M input and $0.50/1M output tokens.
Which is faster, DeepSeek R1 0528 or Llama 4 Scout?
Llama 4 Scout is faster, generating output at 140 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 Llama 4 Scout 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.