Claude Code removed from Anthropic's Pro plan, now only available on Max plans

Anthropic has restructured its Claude pricing plans, removing the Claude Code feature from the Pro tier and making it exclusive to higher-priced Max plans.
Plan Changes
The Pro plan now costs $17 per month with annual subscription (billed $200 upfront) or $20 if billed monthly. This plan includes:
- Claude Cowork
- Access to unlimited projects for organizing chats and documents
- Research feature
- Ability to use more Claude models
- Claude for Excel (beta)
- Claude for PowerPoint (beta)
- Everything from the Free plan
Claude Code is now only available on Max plans, which start at $100 per month. Max plans offer:
- 5x or 20x more usage than Pro
- Higher output limits for all tasks
- Early access to advanced Claude features
- Priority access at high traffic times
- Everything from the Pro plan
Feature Comparison
According to the pricing page comparison table, Claude Code appears as a feature under these categories:
- Features and capabilities: Claude Code is listed as a distinct feature
- Create and edit files with code execution: Available on plans with Claude Code
The Free plan remains available at $0 and includes basic chat functionality across web, iOS, Android, and desktop, but does not include Claude Code.
Team and Enterprise Options
For organizations, Anthropic offers Team plans for 5-150 users and Enterprise plans with two variants:
- Enterprise plan (self-serve): For organizations needing enterprise security features but wanting to move quickly without contacting sales
- Enterprise plan (sales-assisted): For organizations requiring a tailored approach with traditional enterprise security features
Enterprise features include SSO, domain capture, admin controls for connectors, SCIM, audit logs, usage analytics, HIPAA-ready offering, custom data retention controls, and organization-wide skills deployment.
📖 Read the full source: HN AI Agents
👀 See Also

Why Every Client Wants a Chatbot Now (And Why It's the New Carousel)
A developer chronicles the trend of clients demanding AI chatbots on websites, despite admitting they close them immediately — parallels to the carousel era.

AI Is Too Expensive: Hyperscalers Need $3 Trillion to Break Even
Hyperscalers have invested over $800B in AI capex, with $1T more planned for 2027. Microsoft alone spent ~$100B on OpenAI infrastructure, yet AI revenue covers only ~20% of its capex.

AI Agents Are Killing Code Review — The Principal-Agent Problem Explained
Inserting AI agents into the traditional code review process doubles review load, collapses trust signals, and creates an unsustainable imbalance — this is the principal-agent problem as applied to software engineering.

The Need for Relational Governance in Multi-Agent Systems
Current governance frameworks focus on identity, permissions, and kill switches, but fail to address coordination between agents. Research shows agent-to-agent interactions require purpose-built solutions beyond scaled-up human-agent conversations.