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DeepSeek R1 vs Llama 4 Maverick

A detailed comparison of DeepSeek R1 (DeepSeek) and Llama 4 Maverick (Meta) across pricing, performance, and features.

Pricing Comparison

MetricDeepSeek R1Llama 4 MaverickDifference
Input / 1M tokens$0.55$0.31-44%
Output / 1M tokens$2.19$0.85-61%
Context window128K1M
Max output64K32K

Benchmark Comparison

BenchmarkDeepSeek R1Llama 4 Maverick
MMLU-Pro84%80.5%
HumanEval92%90.2%
GPQA71.5%

Capabilities

CapabilityDeepSeek R1Llama 4 Maverick
code
reasoning
text
vision

DeepSeek R1 Strengths

  • Cheapest reasoning model available
  • Strong math and science performance
  • Open-source with off-peak discounts

DeepSeek R1 Weaknesses

  • Slower than non-reasoning models
  • No vision or tool-use
  • China-based — availability concerns

Llama 4 Maverick Strengths

  • Open-source and self-hostable
  • 1M context window
  • Very competitive via API providers

Llama 4 Maverick Weaknesses

  • Requires significant compute to self-host
  • Fewer tool-use capabilities than proprietary models

Quick Verdict

Best value: Llama 4 Maverick is the more affordable option at $0.31/$0.85 per 1M tokens.

Higher benchmarks: Llama 4 Maverick scores higher on average across available benchmarks (85.3% avg).

Larger context: Llama 4 Maverick supports 1M tokens.

Choose Llama 4 Maverick if cost matters most. Choose DeepSeek R1 if you need the best possible quality for complex tasks.

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