ModelCards
← All benchmarks

voyage-4-lite

We haven't written a description for this benchmark yet; see the card notes below for how each maker ran it.

Your workloadRAG over docs · 12K in · 600 out · 50K requests/mo · 30% cached
  1. 1voyage-4-large · Voyage AI
    4.8%

“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

  • voyage-4-large launch post (RTEB, 29 datasets)

    Voyage's own numbers: average NDCG@10 margin of voyage-4-large over each model across all 29 RTEB datasets. Per-dataset scores are only in charts and a linked spreadsheet. Voyage also says MoE gives accuracy comparable to a dense model with 4x the active parameters (≈75% lower inference cost at equal accuracy).

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