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LLM Benchmark — Sultan Command Eval Suite

Automated by JobWeaver / Sultan Command agent orchestration.

Dry-Run Results (reduced dataset)

Model Overall MMLU-Pro MATH-500 BFCL HumanEval
DeepSeek V4 Flash 100.0% 100.0% 100.0% 100.0% 100.0%
Claude Sonnet 4 87.5% 100.0% 50.0% 100.0% 100.0%

Charts

Category Breakdown Score vs Speed Radar

Methodology

  • Temperature: 0.2 | Dry-run (reduced question set)
  • All models via OpenRouter API
  • Full benchmark with 7+ models and standard datasets coming soon

Generated by Sultan Command on 2026-06-09

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