ChatGPT Work vs Claude Code: Multi-App AI Agent Cost Per Hour

Two Competing Visions for AI Agents

OpenAI just launched ChatGPT Work — an AI agent that operates autonomously across multiple applications for extended periods. It browses the web, writes and executes code (via built-in Codex capability), manages files, interacts with tools, and completes multi-step workflows without constant human oversight. It is powered by GPT-5.6 and available on Pro ($200/month), Enterprise, and Edu plans.

Meanwhile, Claude Code takes a fundamentally different approach: a terminal-native coding agent that charges per API token consumed. No subscription tier — you pay exactly for what you use via the Anthropic API.

Both can work autonomously for hours. But their cost structures are radically different, and understanding which is cheaper depends entirely on your usage patterns.

ChatGPT Work: The Subscription Cost Model

ChatGPT Work is bundled into OpenAI's Pro plan at $200/month. This gets you unlimited access to GPT-5.6 Sol ($5/$30 per million tokens if purchased via API), plus ChatGPT Work's autonomous agent capabilities, Codex for code execution, and all other Pro features.

The economics are straightforward: at $200/month, your effective hourly cost depends on how much you actually use it. If you run Work agents 4 hours per working day (22 days/month), you are paying roughly $2.27/hour. If you push to 8 hours daily, it drops to $1.14/hour.

However, OpenAI's Pro plan has historically included soft usage caps. During peak demand, response times increase and access may be throttled. The $200 gets you priority access, but not truly unlimited compute. Heavy users of Work agents — running multiple long tasks in parallel — may hit practical limits.

Claude Code: The Per-Token Cost Model

Claude Code charges based on the model you select and exact token consumption. Typical model choices and their rates:

• Claude Opus 4.8: $5 input / $25 output per million tokens
• Claude Sonnet 5: $2 input / $10 output (promotional, $3/$15 after August 2026)
• Claude Sonnet 4.6: $3 input / $15 output per million tokens
• Claude Haiku 4.5: $1 input / $5 output per million tokens

Based on real-world usage data, a Claude Code session running continuously on complex tasks consumes roughly 800K–1.2M input tokens and 200K–400K output tokens per hour. This includes context loading, tool calls, file reads, and the actual code generation.

Hourly Cost Estimates: Head-to-Head

Using the median estimate of 1M input + 300K output per hour of active agentic coding:

• Claude Code + Opus 4.8: (1 × $5) + (0.3 × $25) = $5.00 + $7.50 = $12.50/hour
• Claude Code + Sonnet 5 (promo): (1 × $2) + (0.3 × $10) = $2.00 + $3.00 = $5.00/hour
• Claude Code + Sonnet 4.6: (1 × $3) + (0.3 × $15) = $3.00 + $4.50 = $7.50/hour
• Claude Code + Haiku 4.5: (1 × $1) + (0.3 × $5) = $1.00 + $1.50 = $2.50/hour
• ChatGPT Work (4 hrs/day usage): $2.27/hour
• ChatGPT Work (8 hrs/day usage): $1.14/hour

The Crossover Point

ChatGPT Work becomes cheaper than Claude Code + Sonnet 5 if you use it more than about 40 hours per month ($200 / $5 per hour = 40 hours). That is roughly 2 hours of active agent time per working day — a fairly low bar for teams doing serious AI-assisted development.

Against Claude Code + Opus 4.8, the crossover is even lower: just 16 hours/month ($200 / $12.50). Any regular Opus user running sessions longer than 45 minutes per day would save money on the Pro plan.

However, Claude Code + Haiku 4.5 at $2.50/hour is genuinely hard to beat. You would need to run ChatGPT Work over 80 hours/month for the subscription to win — and at that point, you are likely hitting Pro plan throttling limits anyway.

Capability Differences That Affect Cost

Raw hourly cost is not the full picture. The agents differ in what they can do — which affects how many hours you need to complete a given task:

ChatGPT Work advantages: Multi-app orchestration (browser + code + files + external tools), persistent state across long sessions, visual understanding of web interfaces, and integrated Codex execution environment. These capabilities mean fewer manual handoffs and potentially faster task completion for cross-application workflows.

Claude Code advantages: Direct terminal access, deep codebase understanding via file system interaction, model flexibility (switch between Haiku/Sonnet/Opus per task), subagent orchestration, and no throttling ceiling. For pure coding tasks — writing features, debugging, refactoring — Claude Code's token-based model means you only pay for productive work, not idle time.

Monthly Budget Scenarios

For a developer spending 5 hours/day on AI-assisted work (110 hours/month):

• ChatGPT Work: $200/month flat (effective $1.82/hour)
• Claude Code + Sonnet 5 (promo): 110 × $5 = $550/month
• Claude Code + Sonnet 4.6: 110 × $7.50 = $825/month
• Claude Code + Haiku 4.5: 110 × $2.50 = $275/month

At 5 hours daily, ChatGPT Work delivers enormous value at $200 flat — if you can fully utilize those hours without hitting throttling. The key caveat: heavy multi-agent usage often triggers rate limiting that reduces practical throughput, effectively inflating your real cost per productive hour.

Which Model Fits Your Workflow?

Choose ChatGPT Work if: You need cross-application automation (research + code + documentation in one flow), you run agents 3+ hours daily, your tasks involve web browsing and visual interfaces, and you want predictable monthly billing.

Choose Claude Code if: Your work is primarily terminal/code-focused, you value model flexibility and no throttling, your usage is variable (some days heavy, some light), or you want to mix cheap models for simple tasks with expensive models for complex ones.

For many teams, the answer is both. Use ChatGPT Work for multi-app orchestration and research-heavy tasks, and Claude Code for deep coding sessions where you need sustained focus on a codebase without worrying about subscription caps.