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DeepSeek V3 vs Llama 4 Scout

A detailed comparison of DeepSeek V3 (DeepSeek) and Llama 4 Scout (Meta) across pricing, performance, and features.

Pricing Comparison

MetricDeepSeek V3Llama 4 ScoutDifference
Input / 1M tokens$0.14$0.18+29%
Output / 1M tokens$0.28$0.63+125%
Context window164K10M
Max output16.384K32K

Benchmark Comparison

BenchmarkDeepSeek V3Llama 4 Scout
MMLU-Pro78%74.2%
HumanEval89%86%

Capabilities

CapabilityDeepSeek V3Llama 4 Scout
code
reasoning
text
vision

DeepSeek V3 Strengths

  • Cheapest capable model available
  • Strong coding performance
  • Open-source

DeepSeek V3 Weaknesses

  • No vision support
  • Smaller context than competitors
  • China-based — availability concerns

Llama 4 Scout Strengths

  • 10M token context — largest available
  • Open-source
  • Ultra cheap via API providers

Llama 4 Scout Weaknesses

  • Lower benchmarks than Maverick
  • Limited tool-use support

Quick Verdict

Best value: DeepSeek V3 is the more affordable option at $0.14/$0.28 per 1M tokens.

Higher benchmarks: DeepSeek V3 scores higher on average across available benchmarks (83.5% avg).

Larger context: Llama 4 Scout supports 10M tokens.

Choose DeepSeek V3 if cost matters most. Choose Llama 4 Scout if you need the best possible quality for complex tasks.

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