Claude

Claude Opus 4.7

AnthropicToken-based
Alias:claude-opus-4-7
Create API Key

Compare claude-opus-4-7 API pricing, supported endpoints, capabilities and access options on Modelsell.

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Starting price
Input / Output · 1M
Context
1M
Maximum input window
Max output
128K
Maximum tokens per response
Modalities
→
Knowledge cutoff
Jan 2026
Released
Apr 2026

Pricing by Supplier

Anthropic
-10%
Anthropic 官方
Input$5$4.5/ 1M
Output$25$22.5/ 1M
Cache Read$0.5$0.45/ 1M
Cache Write (5m)$6.25$5.625/ 1M
Cache Write (1h)$10$9/ 1M
AmazonBedrock
-40%
AWS 官方
Input$5$3/ 1M
Output$25$15/ 1M
Cache Read$0.5$0.3/ 1M
Cache Write (5m)$6.25$3.75/ 1M
Cache Write (1h)$10$6/ 1M
Vertex Claude
-30%
Google Vertex 官方 Claude直连
Input$5$3.5/ 1M
Output$25$17.5/ 1M
Cache Read$0.5$0.35/ 1M
Cache Write (5m)$6.25$4.375/ 1M
Cache Write (1h)$10$7/ 1M
claude特供
-40%
适合生产环境,AWS Bedrock组成
Input$5$3/ 1M
Output$25$15/ 1M
Cache Read$0.5$0.3/ 1M
Cache Write (5m)$6.25$3.75/ 1M
Cache Write (1h)$10$6/ 1M
CCMax
-70%
使用自用 vibe coding,纯血 ccmax号池
Input$5$1.5/ 1M
Output$25$7.5/ 1M
Cache Read$0.5$0.15/ 1M
Cache Write (5m)$6.25$1.875/ 1M
Cache Write (1h)$10$3/ 1M
Claude kiro
-90%
使用自用 vibe coding,kiro号池
Input$5$0.5/ 1M
Output$25$2.5/ 1M
Cache Read$0.5$0.05/ 1M
Cache Write (5m)$6.25$0.625/ 1M
Cache Write (1h)$10$1/ 1M
CCMax-ZL
-70%
CCmax微注-可蒸
Input$5$1.5/ 1M
Output$25$7.5/ 1M
Cache Read$0.5$0.15/ 1M
Cache Write (5m)$6.25$1.875/ 1M
Cache Write (1h)$10$3/ 1M

Capabilities / Supported modalities

Function callingToolsJSON modeStructured outputReasoningVisionPrompt caching
Input
Output

Provider & data privacy

Provider
AnthropicDocs
Tokenizer
Anthropic Claude tokenizer
License
Proprietary (commercial)Proprietary
Data retention34 daysNot used for upstream training by default

Performance

Benchmarks

Scores on standardized evaluations. Higher percentages are better — and rank percentile shows

Metrics sourced fromArtificial Analysis 2026-09-30·Claude Opus 4.7

This model is not included in the current benchmark snapshot.

Missing models or measurements are not zero scores.

Benchmark charts preserve the source model selection and reasoning settings. Missing models or measurements are not zero scores, and benchmark cost or speed is not this site’s service commitment.

About Claude Opus 4.7

从复杂资料中找出问题的结构

Claude Opus 4.7 适合需要耐心梳理上下文的工作:阅读大型代码模块、分析技术方案的依赖、比较多份项目资料,或把零散信息组织成有逻辑的长文。它能够结合文本和图片进行理解,以文字输出分析、代码或约定格式的结果。

在软件开发中,你可以让它沿调用链检查一个问题,而不是只看报错附近几行代码。提供入口、状态变化、相关日志和预期行为,要求它说明每个判断的依据,再提出最小修复与回归检查。它也适合做设计评审,例如比较消息队列、定时任务和同步调用三种方案,列出失败恢复与运维成本。

较长的上下文窗口便于同时放入需求文档、接口定义、历史讨论与实现代码。为了让分析保持方向,建议先写清此次需要回答的决策问题,将背景材料与必须遵守的约束分开。引用文件名和段落位置的要求,能够帮助你判断它是否真正用到了关键材料。

视觉输入可用于检查流程图、产品界面和技术示意图,例如指出图中步骤与文字描述不一致之处。自适应思考适合多条件推理,函数调用与结构化输出则方便把分析接到已有系统中。若要查询外部数据或运行测试,需要给它配置对应工具,并把工具结果纳入后续判断。

协作方式

怎么让代码审查更有价值? 指定需要关注的风险,如并发、事务边界、兼容性或权限,要求给出真实触发路径。

能处理已有长文的重写吗? 可以保留原有论点与事实,调整结构和语言;最好列出必须保留的术语、数字和引述,防止编辑过程中改变含义。

Use cases and prompting

从一个决策问题开始

准备相关材料后,要求它区分证据、假设与建议。

请评审这份异步任务重试方案。附件包括状态机图、数据库表结构和当前 worker 实现。
重点检查:任务重复执行、成功后结算失败、进程崩溃后的恢复。
逐个给出失败时间线、留下的数据状态、能否恢复及修复建议,并引用对应代码或图中节点。
最后按风险与实施成本排列建议,不扩展到无关的调度重构。

长文写作可先生成章节提纲,再逐章展开;代码修改可先确认影响范围,再执行测试。把最终结果写成团队能直接审阅的清单,保留尚未验证的事项。

API access

API documentation

Code samples

RequestPOST/v1/messages
Example request
Parameters
ParameterTypeDefault / rangeDescription
temperature
number
=10 ~ 2
Sampling temperature; lower is more deterministic
top_p
number
=10 ~ 1
Nucleus sampling probability mass
max_tokens
integer>= 1Maximum number of tokens in the response
frequency_penalty
number
=0-2 ~ 2
Penalises repetition of frequent tokens
presence_penalty
number
=0-2 ~ 2
Encourages introducing new topics
stop
array—Up to 4 strings that stop generation
seed
integer—Deterministic sampling seed (best-effort)
n
integer
=1>= 1
Number of completions to generate
stream
boolean
=false
Stream tokens via Server-Sent Events
response_format
object—Force JSON object or schema-conforming output
tools
array—Tool / function declarations the model may call
tool_choice
string
autononerequired
Tool-choice policy or specific tool name
logprobs
boolean
=false
Return per-token log probabilities
top_logprobs
integer0 ~ 20Number of top log probabilities returned per token
logit_bias
object—Per-token logit bias map
user
string—End-user identifier for abuse monitoring

Replace <YOUR_API_KEY> with the API key from your token settings.

Authentication

All requests must include Authorization: Bearer <TOKEN> header. Anthropic-formatted endpoints accept the x-api-key header instead.

Generate tokens from the Tokens page; you can scope them to specific models, groups, IPs, and rate-limits.

Supported parameters

Generation parameters
ParameterTypeDefault / rangeDescription
temperature
number
=10 ~ 2
Sampling temperature; lower is more deterministic
top_p
number
=10 ~ 1
Nucleus sampling probability mass
max_tokens
integer>= 1Maximum number of tokens in the response
frequency_penalty
number
=0-2 ~ 2
Penalises repetition of frequent tokens
presence_penalty
number
=0-2 ~ 2
Encourages introducing new topics
stop
array—Up to 4 strings that stop generation
seed
integer—Deterministic sampling seed (best-effort)
n
integer
=1>= 1
Number of completions to generate
stream
boolean
=false
Stream tokens via Server-Sent Events
response_format
object—Force JSON object or schema-conforming output
tools
array—Tool / function declarations the model may call
tool_choice
string
autononerequired
Tool-choice policy or specific tool name
logprobs
boolean
=false
Return per-token log probabilities
top_logprobs
integer0 ~ 20Number of top log probabilities returned per token
logit_bias
object—Per-token logit bias map
user
string—End-user identifier for abuse monitoring

Rate limits

SupplierRPMTPMRPD
AmazonBedrock-ZLUnlimitedUnlimitedUnlimited
AnthropicUnlimitedUnlimitedUnlimited
CCMax-ZLUnlimitedUnlimitedUnlimited
Claude kiroUnlimitedUnlimitedUnlimited
Claude kiro ZLUnlimitedUnlimitedUnlimited
claude特供UnlimitedUnlimitedUnlimited
AmazonBedrockUnlimitedUnlimitedUnlimited
CCMaxUnlimitedUnlimitedUnlimited
defaultUnlimitedUnlimitedUnlimited
Vertex ClaudeUnlimitedUnlimitedUnlimited

No restriction

Frequently asked questions about claude-opus-4-7

What is claude-opus-4-7?

Compare claude-opus-4-7 API pricing, supported endpoints, capabilities and access options on Modelsell.

How do I call claude-opus-4-7?

Create an API key with access to claude-opus-4-7, then use the exact model ID and a supported endpoint from the API access section. Request fields depend on the selected endpoint.

How is claude-opus-4-7 priced?

Pricing depends on the selected provider group and the model billing unit. The current input, output, request, or media prices are shown on this page before sign-up.

What is the context window of claude-opus-4-7?

The model catalog lists a context window of 1000000 tokens. Check the selected endpoint for request limits.

What is the maximum output of claude-opus-4-7?

The model catalog lists a maximum output of 128000 tokens. Your request settings may set a lower limit.

How should I evaluate claude-opus-4-7 for my project?

Start with the use cases and prompting guidance on this page, then evaluate the model with representative inputs from your project.