AI article
Why averaging LLM benchmarks gives the wrong leaderboard
Community description: A composite score built as an equal-weight average of benchmark categories ranked Kimi K3 behind Llama 2 70B; this is how we measured the failure and what we changed.
Dev.to | Oct 5, 2026 | Alex Fank
Automated excerpt
Some boards rotate their questions on purpose. Hard modern boards produce low scores, even for excellent models. Averaging still penalizes models that were submitted to hard boards.
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