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Llama 3.1 405B

Metatext
9.2 / 10 Overall Rating

The largest open-weight model — competitive with proprietary leaders.

Context Window
128K
Knowledge Cutoff
2025
Max Output
16K
License
Open Weights

Where it Excels (Pros)

  • Fully open-source
  • Competitive benchmarks
  • Self-hostable
  • No usage fees

Limitations (Cons)

  • Requires significant compute to run
  • Slightly behind GPT-4o/Claude on hard tasks
  • Less polished instruction following

Benchmark Breakdown

Reasoning (MMLU)88%
Coding (HumanEval)86%
Mathematics (MATH)84%
Long-Context Retrieval82%

Pricing Matrix

Input cost / 1M tokens$0.80
Output cost / 1M tokens$0.80

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