Claude Opus 4.7 Pricing & Plans 2026

Name: Claude Opus 4.7
Brand: Claude Opus 4.7
Availability: InStock

Complete pricing guide for Claude Opus 4.7. Compare all plans, analyze costs, and find the perfect tier for your needs.

Try Claude Opus 4.7 Free →Compare Plans ↓

Not sure if free is enough? See our Free vs Paid comparison →
Still deciding? Read our full verdict on whether Claude Opus 4.7 is worth it →

🆓Free Tier Available

💎7 Paid Plans

⚡No Setup Fees

Choose Your Plan

Free

✓Claude chat access
✓Web, iOS, Android, and desktop access listed in plan comparison
✓Basic access to Claude features subject to usage limits
✓Entry-level plan for trying Claude before upgrading

Start Free Trial →

Pro

$20/month or $200/year

✓Everything in Free
✓More usage
✓Access to Claude Code where available
✓Additional Claude productivity features where available
✓Projects to organize chats and documents
✓Access to Research where available
✓Ability to use more Claude models
✓Claude integrations where available

Start Free Trial →

Max

$100/month for Max 5x or $200/month for Max 20x

✓Everything in Pro
✓5x or 20x Pro capacity depending on Max tier
✓Higher output limits for eligible tasks
✓Early access to selected advanced Claude features
✓Priority access at high traffic times

Start Free Trial →

Team Standard Seat

$30/seat/month billed monthly or $25/seat/month billed annually; 5-seat minimum

✓For teams
✓Team access to Claude features
✓More usage than individual entry-level access
✓Team workspace access
✓Designed for small groups and departments

Start Free Trial →

Team Premium Seat

$150/seat/month billed monthly or annually

✓For teams
✓All Team Standard features
✓More usage than standard seats
✓Higher-capacity team access
✓Designed for heavier Claude users inside teams

Start Free Trial →

Enterprise

Custom enterprise pricing

✓For large businesses operating at scale
✓Enterprise Claude features
✓Seat and usage-based pricing depending on contract
✓Enterprise deployment and administration
✓Designed for company-wide AI workflows

Contact Sales →

Claude Opus 4.7 API

$15 per 1M input tokens and $75 per 1M output tokens

✓Premium Opus-class API access where available
✓Long-context workflow support subject to current model limits
✓Batch-processing support for eligible workloads
✓Prompt caching for repeated context where eligible
✓Prompt cache reads may reduce repeated-context costs where eligible
✓Batch processing discounts may apply for eligible jobs
✓Regional inference options where available

Start Free Trial →

Pricing sourced from Claude Opus 4.7 · Last verified March 2026

Feature Comparison

Features	Free	Pro	Max	Team Standard Seat	Team Premium Seat	Enterprise	Claude Opus 4.7 API
Claude chat access	✓	✓	✓	✓	✓	✓	✓
Web, iOS, Android, and desktop access listed in plan comparison	✓	✓	✓	✓	✓	✓	✓
Basic access to Claude features subject to usage limits	✓	✓	✓	✓	✓	✓	✓
Entry-level plan for trying Claude before upgrading	✓	✓	✓	✓	✓	✓	✓
Everything in Free	—	✓	✓	✓	✓	✓	✓
More usage	—	✓	✓	✓	✓	✓	✓
Access to Claude Code where available	—	✓	✓	✓	✓	✓	✓
Additional Claude productivity features where available	—	✓	✓	✓	✓	✓	✓
Projects to organize chats and documents	—	✓	✓	✓	✓	✓	✓
Access to Research where available	—	✓	✓	✓	✓	✓	✓
Ability to use more Claude models	—	✓	✓	✓	✓	✓	✓
Claude integrations where available	—	✓	✓	✓	✓	✓	✓
Everything in Pro	—	—	✓	✓	✓	✓	✓
5x or 20x Pro capacity depending on Max tier	—	—	✓	✓	✓	✓	✓
Higher output limits for eligible tasks	—	—	✓	✓	✓	✓	✓
Early access to selected advanced Claude features	—	—	✓	✓	✓	✓	✓
Priority access at high traffic times	—	—	✓	✓	✓	✓	✓
For teams	—	—	—	✓	✓	✓	✓
Team access to Claude features	—	—	—	✓	✓	✓	✓
More usage than individual entry-level access	—	—	—	✓	✓	✓	✓
Team workspace access	—	—	—	✓	✓	✓	✓
Designed for small groups and departments	—	—	—	✓	✓	✓	✓
All Team Standard features	—	—	—	—	✓	✓	✓
More usage than standard seats	—	—	—	—	✓	✓	✓
Higher-capacity team access	—	—	—	—	✓	✓	✓
Designed for heavier Claude users inside teams	—	—	—	—	✓	✓	✓
For large businesses operating at scale	—	—	—	—	—	✓	✓
Enterprise Claude features	—	—	—	—	—	✓	✓
Seat and usage-based pricing depending on contract	—	—	—	—	—	✓	✓
Enterprise deployment and administration	—	—	—	—	—	✓	✓
Designed for company-wide AI workflows	—	—	—	—	—	✓	✓
Premium Opus-class API access where available	—	—	—	—	—	—	✓
Long-context workflow support subject to current model limits	—	—	—	—	—	—	✓
Batch-processing support for eligible workloads	—	—	—	—	—	—	✓
Prompt caching for repeated context where eligible	—	—	—	—	—	—	✓
Prompt cache reads may reduce repeated-context costs where eligible	—	—	—	—	—	—	✓
Batch processing discounts may apply for eligible jobs	—	—	—	—	—	—	✓
Regional inference options where available	—	—	—	—	—	—	✓

Is Claude Opus 4.7 Worth It?

✅ Why Choose Claude Opus 4.7

• Designed for long-context work, making it suitable for large codebases, long documents, and multi-session enterprise workflows that smaller-context models may struggle to keep in one request.
• Anthropic lists Opus as a premium model family, with cost controls such as prompt caching and batch processing that can help reduce repeated-context and asynchronous workload costs.
• Strong fit for coding-agent workflows where planning, tool use, code review, and multi-file reasoning are more important than lowest possible latency or token cost.
• Useful for enterprise deployments because Anthropic lists Claude access through API, Claude plans, and enterprise-oriented channels, though exact availability should be verified for each environment.
• Can support complex agent work, implementation plans, long reports, and document-heavy automation runs when configured within current model limits.
• Anthropic positions Claude Opus 4.7 for coding, agentic workflows, enterprise documents, professional content, vision, and multimodal reasoning; teams should still validate performance against their own tasks.

⚠️ Consider This

• Output-token pricing is materially expensive for high-volume chat, summarization, or content-generation workloads where a cheaper Sonnet or Haiku model may be sufficient.
• Anthropic describes Opus models as best for demanding tasks where performance matters most, so Claude Opus 4.7 is not positioned as the fastest or cheapest model for simple automation.
• Teams should verify the current reasoning controls in Anthropic's model documentation because feature names, limits, and availability can vary by model and API surface.
• Claude plan access depends on usage limits, and Anthropic states that limits, prices, and plans are subject to change, which can complicate predictable budgeting for teams using Claude rather than direct API metering.
• Enterprise-grade value depends heavily on prompt engineering, tool integration, caching, and evaluation; the model can still be overkill if the task does not require long context, long-horizon planning, or frontier coding performance.

What Users Say About Claude Opus 4.7

👍 What Users Love

✓Designed for long-context work, making it suitable for large codebases, long documents, and multi-session enterprise workflows that smaller-context models may struggle to keep in one request.
✓Anthropic lists Opus as a premium model family, with cost controls such as prompt caching and batch processing that can help reduce repeated-context and asynchronous workload costs.
✓Strong fit for coding-agent workflows where planning, tool use, code review, and multi-file reasoning are more important than lowest possible latency or token cost.
✓Useful for enterprise deployments because Anthropic lists Claude access through API, Claude plans, and enterprise-oriented channels, though exact availability should be verified for each environment.
✓Can support complex agent work, implementation plans, long reports, and document-heavy automation runs when configured within current model limits.
✓Anthropic positions Claude Opus 4.7 for coding, agentic workflows, enterprise documents, professional content, vision, and multimodal reasoning; teams should still validate performance against their own tasks.

👎 Common Concerns

⚠Output-token pricing is materially expensive for high-volume chat, summarization, or content-generation workloads where a cheaper Sonnet or Haiku model may be sufficient.
⚠Anthropic describes Opus models as best for demanding tasks where performance matters most, so Claude Opus 4.7 is not positioned as the fastest or cheapest model for simple automation.
⚠Teams should verify the current reasoning controls in Anthropic's model documentation because feature names, limits, and availability can vary by model and API surface.
⚠Claude plan access depends on usage limits, and Anthropic states that limits, prices, and plans are subject to change, which can complicate predictable budgeting for teams using Claude rather than direct API metering.
⚠Enterprise-grade value depends heavily on prompt engineering, tool integration, caching, and evaluation; the model can still be overkill if the task does not require long context, long-horizon planning, or frontier coding performance.

Pricing FAQ

What is Claude Opus 4.7 best used for?

Claude Opus 4.7 is best used for demanding AI-agent and coding workflows: production-ready code generation, multi-tool agents, large-codebase reasoning, complex document work, and enterprise workflows that need long-context consistency. Anthropic positions Opus 4.7 for advanced software engineering, difficult coding tasks, long-running work, instruction following, verification, vision, professional documents, slides, and user-interface generation. Compared to the 870+ AI tools in our directory, it is better suited to high-stakes reasoning work than routine copywriting or simple summarization. If a task can be handled reliably by a cheaper model, Opus 4.7 is usually best reserved for escalation or final review.

How much does Claude Opus 4.7 cost?

Anthropic's published Opus-class API pricing is $15 per million input tokens and $75 per million output tokens. Prompt caching and batch processing can reduce costs for eligible workloads under Anthropic's current pricing rules. Claude app subscriptions are separate from direct API metering, and teams should verify current plan pricing, usage limits, and seat requirements on Anthropic's official pricing and support pages before purchasing.

What are the context and output limits for Claude Opus 4.7?

Claude Opus 4.7 is intended for long-context and complex-output workflows, but teams should verify the current context window, maximum output limit, and request constraints in Anthropic's model documentation before designing production systems around specific ceilings. Developers should still design retrieval, truncation, and token-counting safeguards because practical cost and latency can become limiting before theoretical maximum limits do.

How does Claude Opus 4.7 compare with Claude Sonnet 4.6?

Claude Opus 4.7 is positioned for the hardest reasoning, coding, and agentic tasks, while Claude Sonnet 4.6 is typically the better speed-and-cost balance for routine coding, chat, and agent steps. Choose Opus when the task repeatedly fails on cheaper models or demands deep planning; choose Sonnet when latency, throughput, and cost matter more.

Can developers build products with Claude Opus 4.7?

Yes. Developers can build products with Claude Opus 4.7 through Anthropic-supported API access where available, subject to current Anthropic model documentation and account eligibility. The model's premium reasoning profile makes it practical for coding agents, research agents, document automation, and enterprise copilots. Teams should still build evaluations, rate controls, prompt caching, and fallback routing because Opus 4.7 is a premium model.

Ready to Get Started?

AI builders and operators use Claude Opus 4.7 to streamline their workflow.

Try Claude Opus 4.7 Now →

More about Claude Opus 4.7

Review Alternatives Free vs Paid Pros & Cons Worth It?Tutorial

Claude Opus 4.7 Pricing & Plans 2026

Complete pricing guide for Claude Opus 4.7. Compare all plans, analyze costs, and find the perfect tier for your needs.

🆓Free Tier Available

💎7 Paid Plans

⚡No Setup Fees

Choose Your Plan

Free

✓Claude chat access
✓Web, iOS, Android, and desktop access listed in plan comparison
✓Basic access to Claude features subject to usage limits
✓Entry-level plan for trying Claude before upgrading

Start Free Trial →

Pro

$20/month or $200/year

✓Everything in Free
✓More usage
✓Access to Claude Code where available
✓Additional Claude productivity features where available
✓Projects to organize chats and documents
✓Access to Research where available
✓Ability to use more Claude models
✓Claude integrations where available

Start Free Trial →

Max

$100/month for Max 5x or $200/month for Max 20x

✓Everything in Pro
✓5x or 20x Pro capacity depending on Max tier
✓Higher output limits for eligible tasks
✓Early access to selected advanced Claude features
✓Priority access at high traffic times

Start Free Trial →

Team Standard Seat

$30/seat/month billed monthly or $25/seat/month billed annually; 5-seat minimum

✓For teams
✓Team access to Claude features
✓More usage than individual entry-level access
✓Team workspace access
✓Designed for small groups and departments

Start Free Trial →

Team Premium Seat

$150/seat/month billed monthly or annually

✓For teams
✓All Team Standard features
✓More usage than standard seats
✓Higher-capacity team access
✓Designed for heavier Claude users inside teams

Start Free Trial →

Enterprise

Custom enterprise pricing

✓For large businesses operating at scale
✓Enterprise Claude features
✓Seat and usage-based pricing depending on contract
✓Enterprise deployment and administration
✓Designed for company-wide AI workflows

Contact Sales →

Claude Opus 4.7 API

$15 per 1M input tokens and $75 per 1M output tokens

✓Premium Opus-class API access where available
✓Long-context workflow support subject to current model limits
✓Batch-processing support for eligible workloads
✓Prompt caching for repeated context where eligible
✓Prompt cache reads may reduce repeated-context costs where eligible
✓Batch processing discounts may apply for eligible jobs
✓Regional inference options where available

Start Free Trial →

Pricing sourced from Claude Opus 4.7 · Last verified March 2026

Feature Comparison

Features	Free	Pro	Max	Team Standard Seat	Team Premium Seat	Enterprise	Claude Opus 4.7 API
Claude chat access	✓	✓	✓	✓	✓	✓	✓
Web, iOS, Android, and desktop access listed in plan comparison	✓	✓	✓	✓	✓	✓	✓
Basic access to Claude features subject to usage limits	✓	✓	✓	✓	✓	✓	✓
Entry-level plan for trying Claude before upgrading	✓	✓	✓	✓	✓	✓	✓
Everything in Free	—	✓	✓	✓	✓	✓	✓
More usage	—	✓	✓	✓	✓	✓	✓
Access to Claude Code where available	—	✓	✓	✓	✓	✓	✓
Additional Claude productivity features where available	—	✓	✓	✓	✓	✓	✓
Projects to organize chats and documents	—	✓	✓	✓	✓	✓	✓
Access to Research where available	—	✓	✓	✓	✓	✓	✓
Ability to use more Claude models	—	✓	✓	✓	✓	✓	✓
Claude integrations where available	—	✓	✓	✓	✓	✓	✓
Everything in Pro	—	—	✓	✓	✓	✓	✓
5x or 20x Pro capacity depending on Max tier	—	—	✓	✓	✓	✓	✓
Higher output limits for eligible tasks	—	—	✓	✓	✓	✓	✓
Early access to selected advanced Claude features	—	—	✓	✓	✓	✓	✓
Priority access at high traffic times	—	—	✓	✓	✓	✓	✓
For teams	—	—	—	✓	✓	✓	✓
Team access to Claude features	—	—	—	✓	✓	✓	✓
More usage than individual entry-level access	—	—	—	✓	✓	✓	✓
Team workspace access	—	—	—	✓	✓	✓	✓
Designed for small groups and departments	—	—	—	✓	✓	✓	✓
All Team Standard features	—	—	—	—	✓	✓	✓
More usage than standard seats	—	—	—	—	✓	✓	✓
Higher-capacity team access	—	—	—	—	✓	✓	✓
Designed for heavier Claude users inside teams	—	—	—	—	✓	✓	✓
For large businesses operating at scale	—	—	—	—	—	✓	✓
Enterprise Claude features	—	—	—	—	—	✓	✓
Seat and usage-based pricing depending on contract	—	—	—	—	—	✓	✓
Enterprise deployment and administration	—	—	—	—	—	✓	✓
Designed for company-wide AI workflows	—	—	—	—	—	✓	✓
Premium Opus-class API access where available	—	—	—	—	—	—	✓
Long-context workflow support subject to current model limits	—	—	—	—	—	—	✓
Batch-processing support for eligible workloads	—	—	—	—	—	—	✓
Prompt caching for repeated context where eligible	—	—	—	—	—	—	✓
Prompt cache reads may reduce repeated-context costs where eligible	—	—	—	—	—	—	✓
Batch processing discounts may apply for eligible jobs	—	—	—	—	—	—	✓
Regional inference options where available	—	—	—	—	—	—	✓

Is Claude Opus 4.7 Worth It?

✅ Why Choose Claude Opus 4.7

• Designed for long-context work, making it suitable for large codebases, long documents, and multi-session enterprise workflows that smaller-context models may struggle to keep in one request.
• Anthropic lists Opus as a premium model family, with cost controls such as prompt caching and batch processing that can help reduce repeated-context and asynchronous workload costs.
• Strong fit for coding-agent workflows where planning, tool use, code review, and multi-file reasoning are more important than lowest possible latency or token cost.
• Useful for enterprise deployments because Anthropic lists Claude access through API, Claude plans, and enterprise-oriented channels, though exact availability should be verified for each environment.
• Can support complex agent work, implementation plans, long reports, and document-heavy automation runs when configured within current model limits.
• Anthropic positions Claude Opus 4.7 for coding, agentic workflows, enterprise documents, professional content, vision, and multimodal reasoning; teams should still validate performance against their own tasks.

⚠️ Consider This

• Output-token pricing is materially expensive for high-volume chat, summarization, or content-generation workloads where a cheaper Sonnet or Haiku model may be sufficient.
• Anthropic describes Opus models as best for demanding tasks where performance matters most, so Claude Opus 4.7 is not positioned as the fastest or cheapest model for simple automation.
• Teams should verify the current reasoning controls in Anthropic's model documentation because feature names, limits, and availability can vary by model and API surface.
• Claude plan access depends on usage limits, and Anthropic states that limits, prices, and plans are subject to change, which can complicate predictable budgeting for teams using Claude rather than direct API metering.
• Enterprise-grade value depends heavily on prompt engineering, tool integration, caching, and evaluation; the model can still be overkill if the task does not require long context, long-horizon planning, or frontier coding performance.

What Users Say About Claude Opus 4.7

👍 What Users Love

✓Designed for long-context work, making it suitable for large codebases, long documents, and multi-session enterprise workflows that smaller-context models may struggle to keep in one request.
✓Anthropic lists Opus as a premium model family, with cost controls such as prompt caching and batch processing that can help reduce repeated-context and asynchronous workload costs.
✓Strong fit for coding-agent workflows where planning, tool use, code review, and multi-file reasoning are more important than lowest possible latency or token cost.
✓Useful for enterprise deployments because Anthropic lists Claude access through API, Claude plans, and enterprise-oriented channels, though exact availability should be verified for each environment.
✓Can support complex agent work, implementation plans, long reports, and document-heavy automation runs when configured within current model limits.
✓Anthropic positions Claude Opus 4.7 for coding, agentic workflows, enterprise documents, professional content, vision, and multimodal reasoning; teams should still validate performance against their own tasks.

👎 Common Concerns

⚠Output-token pricing is materially expensive for high-volume chat, summarization, or content-generation workloads where a cheaper Sonnet or Haiku model may be sufficient.
⚠Anthropic describes Opus models as best for demanding tasks where performance matters most, so Claude Opus 4.7 is not positioned as the fastest or cheapest model for simple automation.
⚠Teams should verify the current reasoning controls in Anthropic's model documentation because feature names, limits, and availability can vary by model and API surface.
⚠Claude plan access depends on usage limits, and Anthropic states that limits, prices, and plans are subject to change, which can complicate predictable budgeting for teams using Claude rather than direct API metering.
⚠Enterprise-grade value depends heavily on prompt engineering, tool integration, caching, and evaluation; the model can still be overkill if the task does not require long context, long-horizon planning, or frontier coding performance.

Claude Opus 4.7 Pricing & Plans 2026

Choose Your Plan

Free

Pro

Max

Team Standard Seat

Team Premium Seat

Enterprise

Claude Opus 4.7 API

Feature Comparison

Is Claude Opus 4.7 Worth It?

✅ Why Choose Claude Opus 4.7

⚠️ Consider This

What Users Say About Claude Opus 4.7

👍 What Users Love

👎 Common Concerns

Pricing FAQ

What is Claude Opus 4.7 best used for?

How much does Claude Opus 4.7 cost?

What are the context and output limits for Claude Opus 4.7?

How does Claude Opus 4.7 compare with Claude Sonnet 4.6?

Can developers build products with Claude Opus 4.7?

Ready to Get Started?

More about Claude Opus 4.7

Compare Claude Opus 4.7 Pricing with Alternatives

Claude Sonnet 4.6 Pricing

OpenAI Codex Pricing

Cursor Pricing

Claude Opus 4.7 Pricing & Plans 2026

Choose Your Plan

Free

Pro

Max

Team Standard Seat

Team Premium Seat

Enterprise

Claude Opus 4.7 API

Feature Comparison

Is Claude Opus 4.7 Worth It?

✅ Why Choose Claude Opus 4.7

⚠️ Consider This

What Users Say About Claude Opus 4.7

👍 What Users Love

👎 Common Concerns

Pricing FAQ

What is Claude Opus 4.7 best used for?

How much does Claude Opus 4.7 cost?

What are the context and output limits for Claude Opus 4.7?

How does Claude Opus 4.7 compare with Claude Sonnet 4.6?

Can developers build products with Claude Opus 4.7?

Ready to Get Started?

More about Claude Opus 4.7

Compare Claude Opus 4.7 Pricing with Alternatives

Claude Sonnet 4.6 Pricing

OpenAI Codex Pricing

Cursor Pricing