Updated daily · Arena + Artificial Analysis
GTM Engineering & Landing Pages
Building automations, Clay integrations, webhooks, prospect landing pages, internal tools. The builder work behind every AI GTM system.
One board from The GTM Model Leaderboard
Quick answer
For GTM Engineering & Landing Pages, OpenAI's GPT-6 Astra (Max) leads at 1793 Arena Elo on the Arena WebDev leaderboard, ahead of Claude Fable 5.1 (Max). DemandLab recaptures this board daily; these numbers are from September 23, 2026. Rankings are job-specific, so the winner here is not the winner on the other seven boards.
Compiled by Chris Arden, Fractional CMO, DemandLab · Updated on
GTM Engineering & Landing Pages Leaderboard
Building automations, Clay integrations, webhooks, prospect landing pages, internal tools. The builder work behind every AI GTM system.
- 1GPT-6 Astra (Max)OpenAIHeld #11793±12Arena Elo
- 2Claude Fable 5.1 (Max)AnthropicSteady second, gap to #1 narrowed from 42 to 40 points1753±11Arena Elo
- 3Claude Opus 5 (Max)Anthropic1691±7Arena Elo
- 4GPT-6 Sol (Max)OpenAINew to the top five1689±19Arena Elo
- 5Qwen 3.8 MaxAlibaba1671±12Arena Elo
Operator take · GPT-6 Astra still holds the top WebDev slot, 1793 against Claude Fable 5.1 Max's 1753, a 40-point gap that narrowed slightly from 42 last capture. Nothing is moving fast here. Opus 5 Max holds third at 1691, and GPT-6 Sol Max enters at fourth (1689), though its ±19 interval makes it a statistical tie with Opus 5 Max. Qwen 3.8 Max is fifth (1671) and Kimi K3 dropped out of the top five. If you build internal tools or Clay integrations on Claude today, there is no urgency to switch. Fable 5.1 Max is still excellent and stable. The Astra gap is worth a real evaluation only if raw WebDev score is what you are optimizing for.
Updated daily from the linked public leaderboards; last capture September 23, 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.
Frequently Asked Questions
GTM Engineering & Landing Pages: common questions
Which AI model is best for GTM Engineering & Landing Pages?
As of September 23, 2026, GPT-6 Astra (Max) from OpenAI ranks first for GTM Engineering & Landing Pages at 1793 Arena Elo (±12) on the Arena WebDev leaderboard. Claude Fable 5.1 (Max) ranks second at 1753, and Claude Opus 5 (Max) third at 1691. DemandLab recaptures the board daily, so check the date above before quoting a position.
Where do these AI model rankings come from?
GTM Engineering & Landing Pages is scored from the Arena WebDev leaderboard (https://arena.ai/leaderboard), measured by Arena Elo. DemandLab captures the public results, maps them to the go-to-market job they apply to, and publishes them unmodified. No scores are estimated, blended, or adjusted, and any board that cannot be read on a given day is left unchanged rather than guessed.
How often is the GTM Model Leaderboard updated?
Daily. The last capture was September 23, 2026. Model leaderboards move faster than most buying cycles, and positions inside a confidence interval can flip overnight, so DemandLab treats a single day's order as one observation rather than a trend.
Should I switch to the top-ranked model?
Not automatically. GPT-6 Astra still holds the top WebDev slot, 1793 against Claude Fable 5.1 Max's 1753, a 40-point gap that narrowed slightly from 42 last capture. Nothing is moving fast here. Opus 5 Max holds third at 1691, and GPT-6 Sol Max enters at fourth (1689), though its ±19 interval makes it a statistical tie with Opus 5 Max. Qwen 3.8 Max is fifth (1671) and Kimi K3 dropped out of the top five. If you build internal tools or Clay integrations on Claude today, there is no urgency to switch. Fable 5.1 Max is still excellent and stable. The Astra gap is worth a real evaluation only if raw WebDev score is what you are optimizing for.
DemandLab routes 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 DemandLab does.