DemandLab

Updated daily · Arena + Artificial Analysis

High-Volume Enrichment & Extraction

Clay-style enrichment at thousands of rows, lead scoring, intent classification, schema extraction. Cost and speed dominate; frontier IQ is wasted here.

One board from The GTM Model Leaderboard

High-Volume Enrichment & Extraction Leaderboard

Clay-style enrichment at thousands of rows, lead scoring, intent classification, schema extraction. Cost and speed dominate; frontier IQ is wasted here.

Artificial Analysis · speed, latency, price leaders · Jul 27, 2026 ↗
  1. 1
    Mercury 2
    InceptionFastest output measured
    795 tok/s
    Why it wins
  2. 2
    Gemini 2.5 Flash-Lite
    GoogleLowest time to first token
    0.35s latency
    Why it wins
  3. 3
    Nova Micro
    AmazonCheapest blended price measured
    $0.03 / M
    Why it wins
  4. 4
    Gemini 3.5 Flash-Lite
    GoogleSecond-fastest output, cheap tier
    417 tok/s
    Why it wins
  5. 5
    Claude Haiku 4.5
    AnthropicBest cheap option in Claude stacks
    balanced
    Why it wins

Operator take · Ranked by fit, not a single benchmark. At 10,000 rows in Clay, a frontier model is a budget mistake: route volume work to a fast/cheap tier and reserve frontier models for the 5% of rows that matter.

Updated daily from the linked public leaderboards; last capture Jul 27, 2026. Elo and win-rate figures are preference-based measures, not task-completion guarantees. Always validate the top pick on your own representative work before routing production volume to it.

How to Read These Rankings

Four rules before you switch models

  • Every ranking is task-specific. The #1 agent model is not the #1 writer, and neither is the right pick for 10,000 Clay rows.
  • Scores come from public leaderboards (Arena, Artificial Analysis) with capture dates shown. Preference Elo measures which output people like, not whether work gets completed.
  • Reasoning effort and harness matter: the same model at a different effort tier or in a different agent harness ranks differently.
  • Cheap plus fast beats frontier for volume work. Route by job, not by brand loyalty.

We route these models inside production GTM systems every day. If you want help picking and wiring the right models into your own stack, that's what we do.

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