DemandLab

Updated daily · Arena + Artificial Analysis

Strategy & Hard Analysis

Pricing decisions, ICP definition, board-level analysis, expert-domain questions. The highest-stakes thinking you delegate.

One board from The GTM Model Leaderboard

Strategy & Hard Analysis Leaderboard

Pricing decisions, ICP definition, board-level analysis, expert-domain questions. The highest-stakes thinking you delegate.

  1. 1
    Claude Opus 5 (Max effort)
    AnthropicAA Intelligence Index 61
    #1
    Standing
  2. 2
    Claude Opus 5 (xHigh effort)
    AnthropicAA Intelligence Index 60
    #2
    Standing
  3. 3
    Claude Fable 5 (Max effort)
    AnthropicAA Intelligence 60 + Arena Text #1 and Expert #1
    #3
    Standing
  4. 4
    GPT-5.6 Sol (Max)
    OpenAIAA Intelligence Index 59
    #4
    Standing
  5. 5
    Claude Opus 5 (High effort)
    AnthropicAA Intelligence Index 59
    #5
    Standing

Operator take · Opus 5 took the top of the Intelligence Index this week, and the story is effort level as much as model: the same model ranks #1, #2, and #5 depending on how hard you let it think. For consequential analysis, turn effort up and accept the latency. The per-token premium is noise next to the cost of a wrong strategic call.

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.