aiaimodel.cards
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LiveCodeBench (10/2024-02/2025)

Recent competitive-programming problems, refreshed over time to limit training-data contamination.

Your workloadRAG over docs · 12K in · 600 out · 50K requests/mo · 30% cached
  1. 1Llama 4 Maverick · Metabest value
    43.4%
  2. 2Llama 4 Scout · Metabest value
    32.8%

“Best value”: no other model here reports a higher score at a lower cost for your workload. Scores are self-reported by each maker with different settings, so treat close calls as ties.

How each maker reported it

  • Llama 4 Maverick Benchmarks: Instruction tuned models

    Meta's own 0-shot results on bf16 weights. Llama 3.x models have no image support and a 128K context, so those cells are not reported.

  • Llama 4 Scout Benchmarks: Instruction tuned models

    Meta's own 0-shot results on bf16 weights. Llama 3.x models have no image support and a 128K context, so those cells are not reported.

Only each model's own maker's number is shown; scores a maker reports for rival models are left out.