DeepSeek V3.2 (Reasoner) vs Llama 4 Scout
Pricing, context window, and benchmark comparison · Last updated April 2026
Llama 4 Scout is cheaper than DeepSeek V3.2 (Reasoner) at $0.08/1M/1M vs $0.28/1M/1M input tokens — a 3.5x cost difference. DeepSeek V3.2 (Reasoner) scores higher on quality benchmarks (ELO 1385). Choose Llama 4 Scout for cost-sensitive workloads; choose DeepSeek V3.2 (Reasoner) for maximum quality.
Which is cheaper: DeepSeek V3.2 (Reasoner) or Llama 4 Scout?
Llama 4 Scout is the cheaper option at $0.08/1M per 1M input tokens, compared to $0.28/1M for DeepSeek V3.2 (Reasoner). That is a 3.5x cost difference on input tokens. Output pricing follows a similar pattern: DeepSeek V3.2 (Reasoner) charges $0.42/1M/1M vs $0.30/1M/1M for Llama 4 Scout.
Which has better quality: DeepSeek V3.2 (Reasoner) or Llama 4 Scout?
Based on LMSYS Chatbot Arena rankings, DeepSeek V3.2 (Reasoner) achieves a higher ELO score (1385 vs 1280), suggesting stronger performance on open-ended tasks. DeepSeek V3.2 (Reasoner) excels at o-series-class reasoning at a fraction of the price. Llama 4 Scout is known for runs on a single h100 — cheapest self-host target in the llama 4 family.
Which should you choose: DeepSeek V3.2 (Reasoner) or Llama 4 Scout?
- → o-series-class reasoning at a fraction of the price
- → Up to 64K output tokens for long chain-of-thought
- → Open weights
- → Runs on a single H100 — cheapest self-host target in the Llama 4 family
- → 10M token context window — industry-leading for long context
- → Open weights
Frequently Asked Questions
Which is cheaper: DeepSeek V3.2 (Reasoner) or Llama 4 Scout?
Llama 4 Scout is cheaper at $0.08/1M per 1M input tokens, making it 3.5x more affordable.
Which has better quality: DeepSeek V3.2 (Reasoner) or Llama 4 Scout?
DeepSeek V3.2 (Reasoner) scores higher on the LMSYS Chatbot Arena with an ELO of 1385, suggesting better overall quality for most tasks.
Which has a larger context window: DeepSeek V3.2 (Reasoner) or Llama 4 Scout?
Llama 4 Scout has a larger context window at 10000K tokens.
Should I choose DeepSeek V3.2 (Reasoner) or Llama 4 Scout?
Choose Llama 4 Scout if cost is the priority. Choose DeepSeek V3.2 (Reasoner) if benchmark quality is most important. Consider your specific use case: DeepSeek V3.2 (Reasoner) is best for reasoning and math, while Llama 4 Scout excels at long-context and low-cost.
Is DeepSeek V3.2 (Reasoner) or Llama 4 Scout open source?
DeepSeek V3.2 (Reasoner) is open source. Llama 4 Scout is open source.