Claude Opus 4.7 is the flagship large language model launched by Anthropic. Based on the previous generation Opus 4.6, it has significantly improved software engineering capabilities, tool usage accuracy, long-term autonomous task execution and high-resolution image understanding capabilities.

Full review of Claude Opus 4.7

Core parameters and statistics

Project	Specifications
Model ID	claude-opus-4-7
Developer	Anthropic
Core Competencies	Coding Agent workflow, multi-modal reasoning
Image Understanding	Up to 2,576 pixels (long side)
API Pricing	$5/million input tokens, $25/million output tokens
Effortful control	Standard, high xhigh level three
Task Budget	Support long-term Agent operation (public beta phase)
Available Channels	Claude Product API, AWS Bedrock, GCP Vertex AI, Azure Foundry

User and market recognition

Claude Opus 4.7 is Anthropic's current strongest model, positioned at "advanced coding capabilities + long-term autonomous Agent + high-fidelity multi-modality". It is not a stand-alone tool, but the underlying model capabilities provided through Claude products and APIs. Compared to Opus 4.6, 4.7 offers significant improvements in software engineering, tool invocation accuracy, and long-term task consistency.

Publicity verification: The improvement of "advanced coding capabilities" can be quantified on standard benchmarks, but the effect in actual projects depends on the size of the code base, technology stack and task complexity. An increase in a single benchmark score may not linearly translate into an increase in daily development efficiency.

Cost advantage

Billing dimensions	Price
Enter tokens	$5/million
Output tokens	$25/million
Prompt Cache Write	$6.25/million
Prompt Cache Read	$0.50/million

Free Facts: Opus 4.7 does not have a free tier – the Anthropic API and all cloud channels are metered. Claude.ai's free quota is limited to the Sonnet series and cannot be used to experience Opus. Teams who want to evaluate Opus 4.7 will need to pay directly, with evaluation costs around $50-200 (depending on the amount of testing).

Hidden benefits: Opus 4.7's improved "first pass rate" on complex coding tasks means developers can reduce the number of debug-retry cycles. For developers who use Claude Code on a daily basis, monthly API fees may increase by 20-30%, but the improvement in coding efficiency is more than enough to cover this cost.

Main functions

• Advanced Software Engineering: Significant improvement over Opus 4.6 in complex coding tasks (code generation, refactoring, debugging). This is the core upgrade for developers who use Claude Code or API to build coding agents.
• Long-term Agent Tasks: Improved multi-step task execution consistency, suitable for automated workflows that require long-running, multi-tool calls. With the task budget function, the resource consumption of Agent in long-term tasks can be controlled.
• High Resolution Image Understanding: Supports image input up to 2,576 pixels without requiring separate API parameters. Ideal for analyzing visual content such as high-resolution screenshots, technical diagrams, detailed documents, etc.
• Adaptive Effort Control: Added xhigh effort level and task budget functions, allowing developers to make more refined trade-offs between inference depth and response latency.

Model and version evolution

Mainline release

• ~2026-06: Claude Opus 4.7 released, model ID claude-opus-4-7, with enhanced software engineering, tool usage and long-term Agent tasks.
• ~2026-04: Claude Opus 4.6 released, the previous generation flagship model.

Technical advantages

• Algorithm Optimization: Special optimization at the model or algorithm level has been carried out for the corresponding scenario to achieve a balance between response speed and result quality.
• Low-latency architecture: Adopts streaming or asynchronous processing architecture to reduce user waiting time and is suitable for high-frequency interaction scenarios.

How to use

Opus 4.7 is available through:

• Claude Products: Claude.ai Web and Mobile
• Anthropic API: model=claude-opus-4-7
• AWS Bedrock, GCP Vertex AI, Azure Foundry

Developers can set the effort parameters (standard/high/xhigh) and task_budget through the API to control the inference depth and token consumption.

Product Pricing

Billing dimensions	Price
Enter tokens	$5/million
Output tokens	$25/million
Prompt cache write	$6.25/million
Prompt cache read	$0.50/million

Human-machine collaboration boundary: 100% automation: code generation, test case writing, code review, document generation. Human intervention is necessary: ​​architectural decisions (when there are multiple equivalent solutions), review of security-sensitive code, and final acceptance of whether the AI-generated code complies with the project coding specifications. Opus 4.7 is very strong in "help me write code", but it still needs people to check in "help me decide how to write".

Application scenarios

• Complex Coding Agent: An autonomous coding agent built using Claude Code or API to handle the modification, refactoring and debugging of large-scale code bases. Suitable for development teams with CI/CD integration needs.
• Long-term automated workflow: Agent tasks that need to be performed across multiple tools and steps, such as the complete process of data analysis → visualization → report generation.
• High-precision document analysis: Analyze technical documents, papers, and reports containing complex charts, tables, and layouts.

Applicable people

• AI application developers: For developers who build agents and coding assistants through APIs, the coding and tool usage capabilities of Opus 4.7 are the most direct value points.
• Enterprise AI Team: Enterprise users who need high-performance models for complex workflows take advantage of Opus 4.7’s long-term task execution and multi-modal capabilities.
• Claude Power User: Advanced user of Claude products using Opus 4.7 for complex analysis, coding, and research.

Summary and Outlook

Claude Opus 4.7 represents Anthropic's latest progress in the direction of "making models work more reliably." The focus of its upgrade is not to "know more", but to "do it longer and more accurately" - longer Agent task duration, higher tool call accuracy, and better multi-step execution consistency. For teams that rely on the Claude API to build Agent products, this is a version upgrade worth evaluating immediately.

Current limitations: The inference delay of Opus 4.7 is long (especially in xhigh mode), which is not suitable for scenarios with high real-time requirements; the task budget function of long-term Agent tasks is still in the public beta stage, and its stability remains to be seen; the pricing of $5/$25 per million Tokens cannot be ignored in production scenarios with frequent calls.

Dissuade scenario: If your application scenario is simple text classification, sentiment analysis or keyword extraction, the cost of using Opus 4.7 is too high - Haiku or Sonnet series models are completely sufficient and the price is 5-10 times lower.

Hidden benefits: For teams that rely on Claude to build automated coding Agents, Opus 4.7's instruction compliance and tool invocation improvements mean that the Agent's "first-time success rate" is higher, reducing the time cost of debugging and retrying. This efficiency improvement will continue to accumulate in long-term operation.

Related tools: deepseek, ChatGPT

Version Info

• Claude Opus 4.7 ：Anthropic flagship model is released to enhance software engineering agent workflow and multi-modal understanding. There is no official precise date yet. （~2026-06）
• Claude Opus 4.6 ：There is no official precise date for the previous generation flagship model. （~2026-04）