Which AI Models Work Best in Zapier Automation Workflows?

Key Takeaways

• Zapier supports AI models from OpenAI, Anthropic, and Google for workflow automation
• AutomationBench tests models on real business tasks, not static prompts
• The benchmark uses complicated scenarios with ambiguous data and conflicting priorities

The Problem With Existing AI Benchmarks

New AI models launch practically every week. Keeping track of which ones actually work for specific automation tasks has become its own full-time job. Zapier decided to solve this by building AutomationBench, a benchmark designed to test how well models handle multi-step workflows rather than isolated prompts.

The Zapier team built the tool because they couldn't find an existing benchmark that measured whether an AI model could handle the messy, complicated work businesses actually rely on. Most benchmarks test static prompts. Real workflows involve conflicting data, hidden information, ambiguous instructions, and policy rules that override each other.

How AutomationBench Tests Models

Every task in AutomationBench comes from real workflow patterns observed on Zapier's platform. No personally identifiable information was used, but the tasks reflect what actual users try to automate.

To make scoring meaningful, the team deliberately complicated each task. They added irrelevant data to force models to filter noise. They hid key information behind tool calls. They introduced ambiguity about where the right information might be found. They used similar naming conventions to create plausible wrong answers. And they enforced strict business policy rules with overriding priorities.

A Real Test Example

Here's an example task from the benchmark: A scheduling conflict exists on February 20, 2026 at 2:00 PM. A Zoom meeting and a Google Calendar event overlap. The model must check the meeting priority policy in a spreadsheet to determine which one wins. Then it reschedules the loser by prepending '[RESCHEDULED]' to its topic. Finally, it posts a summary to #ops-updates on Slack noting which meeting won and which was rescheduled, including both the Zoom meeting ID and Calendar event ID.

This single task requires reading from multiple apps, applying business logic, making a judgment call based on policy, modifying records, and reporting the outcome. That's closer to what automation actually looks like in production.

Available AI Providers on Zapier

Zapier currently supports models from three major providers: OpenAI (ChatGPT models), Anthropic (Claude models), and Google AI Studio (Gemini models). Each provider's models have different strengths based on AutomationBench results.

• OpenAI: GPT-5.5 Pro and other ChatGPT models
• Anthropic: Claude models
• Google: Gemini 3.5 Flash and other Gemini models

Beyond these direct integrations, Zapier connects with hundreds of other AI apps. The platform also offers AI by Zapier, a built-in tool for automating AI tasks without external API connections.

What Makes This Benchmark Different

AutomationBench doesn't evaluate how an agent completes a task. The method doesn't matter. What matters is whether the model gets the right outcome. This approach aligns with how businesses actually judge automation success. Nobody cares about the intermediate steps if the final result is wrong.

Zapier made the benchmark public, recognizing that the gap in AI evaluation tools affects the entire industry. The full methodology is available in their white paper.

Integration and Orchestration

Zapier positions itself as an AI orchestration platform, integrating with thousands of apps from partners like Google, Salesforce, and Microsoft. Users can combine forms, data tables, and logic to build automated AI-powered systems across their technology stack.

The practical implication: you don't need to pick one AI provider. Workflows can route different tasks to different models based on what each one does best. A scheduling task might go to one model while a content generation task goes to another.

Frequently Asked Questions

What is AutomationBench?

AutomationBench is Zapier's public benchmark for testing how well AI models perform multi-step workflow automation tasks, not just static prompts. It uses real workflow patterns with added complexity like ambiguous data and conflicting priorities.

Which AI models does Zapier support?

Zapier supports models from OpenAI (including GPT-5.5 Pro), Anthropic (Claude), and Google AI Studio (Gemini 3.5 Flash and others). It also integrates with hundreds of other AI apps.

How does AutomationBench test AI models?

The benchmark tests models on tasks modeled from real Zapier workflows. Tasks include irrelevant data, hidden information, ambiguous instructions, similar naming conventions that create wrong-answer traps, and conflicting business policy rules.

What is AI by Zapier?

AI by Zapier is a built-in tool that lets users automate AI tasks directly within Zapier workflows without requiring external API connections to AI providers.

Source: The Zapier Blog