How much does Claude Opus 4.7 cost?

Claude Opus 4.7 costs $5.00 per million input tokens and $25 per million output tokens on standard pricing. A workload of 20M input and 5M output tokens a month is about $225.

What is the context length of Claude Opus 4.7?

Claude Opus 4.7 accepts up to 1,000,000 tokens (1M) of input and can return up to 128,000 tokens in one response.

Does Claude Opus 4.7 support tool calling and structured outputs?

Yes, Claude Opus 4.7 supports function/tool calling and structured (JSON) outputs. Supported tools: Function calling, Structured outputs, JSON mode, Reasoning, Prompt caching.

What inputs and outputs does Claude Opus 4.7 support?

Claude Opus 4.7 accepts Text, Image, PDF as input and produces Text as output.

When was Claude Opus 4.7 released?

Claude Opus 4.7 was released by Anthropic in 2026-04-16.

Claude Opus 4.7

claude-opus-4.7

API Provider site

Opus 4.7 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.6, it delivers stronger performance on... Built by Anthropic.

Prices updated recently

Input price

$5.00

per 1M tokens · Standard

Output price

$25

per 1M tokens · Standard

Input limit

tokens

Output limit

128K

tokens

Input formats

TextImageVideoAudioPDF

Output formats

TextImageVideoAudioPDF

Compare

Claude Opus 4.7 price history

2 price records since 9/25/2026

Claude Opus 4.7 cost calculator

Input20M tokens

Output5M tokens

$225/month

Standard pricing

Overview

What is Claude Opus 4.7?

Claude Opus 4.7 is a text & reasoning and vision model from Anthropic. Opus 4.7 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.6, it delivers stronger performance on... Its 1M context window and $5.00 input price make it a candidate for quality-focused production applications.

Image understandingDocument analysisContent workflowsClassification

Benchmarks

Claude Opus 4.7 benchmarks & speed

How Claude Opus 4.7 scores on standardized evaluations, and where it lands among every model we track.

40.7

Intelligence Index

Better than 89% of 153 models

47tok/s

Output speed

Better than 12% of 119 models

Reasoning

GPQA Diamond

91.4%

Graduate-level scientific reasoning · top 17%

HLE

42.3%

Humanity's Last Exam · top 17%

Latency & design

Time to first token: 22.9s

Independent scores from Artificial Analysis and DesignArena · updated 10/5/2026. Higher is better; ranks compare against every model we track with that score.

Rates

Claude Opus 4.7 pricing

Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.

Input · Standard

$5.00

Per 1M tokens

Cached input · Standard

$0.50

Per 1M tokens

Capabilities

Claude Opus 4.7 Tools

Tools available when using Claude Opus 4.7 through supported provider APIs.

Function calling

Supported

Structured outputs

Supported

JSON mode

Supported

Reasoning

Supported

Built-in web search

Not supported

Log probabilities

Not supported

Deterministic seed

Not supported

Parallel tool calls

Not supported

Prompt caching

Supported

Strengths and limitations

Strengths

Measured results (AA Intelligence 40.7) position it for demanding production work.
1M context supports large documents, repositories and extended conversations.
Supports text & reasoning and vision workloads in one model.

Limitations

Generated tokens cost 5× more than input tokens, which matters for verbose responses.
Large context capacity does not guarantee consistent retrieval across the entire prompt.
Arena Elo and MMLU-Pro are directional; test accuracy, latency and reliability on your own workload before committing.

Arena Elo, MMLU-Pro and pricing figures are illustrative; validate current vendor terms before purchase.

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