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Model Comparison Tables

Benched.ai Editorial Team

Model comparison tables present side-by-side stats—parameters, context window, cost, benchmark scores—helping users choose the right model.

  Essential Columns

ColumnExample Value
Parameters70 B
Context window128 k
Training data cutoff2023-10
MMLU83 %
List price /1k tokens$0.006

  Design Guidelines

  1. Freeze metric definitions (exact eval harness) to keep rows comparable.
  2. Use superscripts to cite footnotes for private benchmarks.
  3. Indicate best-in-column with ▲ arrow instead of bold.

  Current Trends (2025)

  • Interactive HTML tables support filter by license, GPU RAM fit.
  • Auto-refresh scripts pull prices daily from vendor APIs.
  • Community PRs add new open-weights models within 24 h of release.

  Implementation Tips

  1. Store source YAML and render MDX at build time.
  2. Add checksum to verify benchmark numbers haven't been tampered.
  3. Provide CSV export for analysts.