Claude Opus 4.6

AnthropicToken-based

Alias:claude-opus-4-6

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Compare claude-opus-4-6 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: May 2025
Released: Feb 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

Benchmarks

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

Metrics sourced fromArtificial Analysis 2026-09-30·Claude Opus 4.6

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 4.6

深入理解后再提出可用方案

Claude Opus 4.6 适合需要较强推理和长材料理解的任务。对于复杂系统，你可以让它梳理模块之间的关系、分析故障触发条件，再讨论修复方案；对于知识工作，可以让它阅读多份研究、访谈或业务文件，提炼主张与证据，形成结构清楚的报告。

它接受文字和图片，输出文字。架构图、流程图与页面截图可以补充文本中没有说清楚的关系，例如让它检查图中状态转换是否覆盖异常分支，或把用户看到的页面错误与代码逻辑对应起来。重要事实应保留可复查的位置，便于团队继续讨论。

百万 Token 级上下文为较大的资料集合提供空间。材料多时，建议先告诉它本次任务的优先级，再将文档标注为“现行规范”“历史记录”“候选方案”等角色。让它先建立关键问题清单，随后逐项分析，有助于避免长文总结变成缺少重点的内容堆积。

它支持自适应思考，可以参与复杂取舍与多条件推理；函数调用和结构化输出有助于把结论转成应用可处理的数据。比如，将评审意见组织成风险、涉及组件、建议修改与验证方式，再交给工单或审查系统。执行查询、代码或文件操作时，需要应用提供相应工具。

团队协作问题

能帮助评审架构升级吗？ 可以对比性能、兼容性、迁移顺序与失败恢复，最好同时提供当前瓶颈和实际限制。

怎样让报告少一些泛泛建议？ 要求每条建议关联具体材料、影响路径和验证动作，并把尚缺证据的问题单列出来。

Use cases and prompting

将复杂评审拆成几条判断

输入现状、目标与不可改变的约束，再指定分析顺序。

评审这份从单体服务拆分通知服务的方案。
结合架构图、调用量数据和故障记录，依次分析消息可靠性、接口兼容、迁移顺序和回滚条件。
每项给出支持证据、风险触发场景与验证办法。
最后建议最小可行试点范围，不把所有模块一次迁走。

代码分析附上关联文件与复现步骤，报告写作注明受众和必须保留的事实。长材料可以先生成索引，再按问题深入阅读，最后核对结论是否与原文一致。

API access

API documentation

Anthropic/v1/messagesOpenAI Chat/v1/chat/completions

Code samples

API documentation: https://docs.modelsell.com/docs/api-reference/%E8%81%8A%E5%A4%A9%E7%B3%BB%E5%88%97/createMessage

RequestPOST/v1/messages

Example request

Parameters

Parameter	Type	Default / range	Description
`temperature`	number	=`1`0 ~ 2	Sampling temperature; lower is more deterministic
`top_p`	number	=`1`0 ~ 1	Nucleus sampling probability mass
`max_tokens`	integer	>= 1	Maximum 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`	integer	0 ~ 20	Number 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

Parameter	Type	Default / range	Description
`temperature`	number	=`1`0 ~ 2	Sampling temperature; lower is more deterministic
`top_p`	number	=`1`0 ~ 1	Nucleus sampling probability mass
`max_tokens`	integer	>= 1	Maximum 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`	integer	0 ~ 20	Number 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

Supplier	RPM	TPM	RPD
AmazonBedrock	Unlimited	Unlimited	Unlimited
Claude kiro	Unlimited	Unlimited	Unlimited
Claude kiro ZL	Unlimited	Unlimited	Unlimited
claude特供	Unlimited	Unlimited	Unlimited
default	Unlimited	Unlimited	Unlimited
Vertex Claude	Unlimited	Unlimited	Unlimited
AmazonBedrock-ZL	Unlimited	Unlimited	Unlimited
Anthropic	Unlimited	Unlimited	Unlimited
CCMax	Unlimited	Unlimited	Unlimited
CCMax-ZL	Unlimited	Unlimited	Unlimited

No restriction

Frequently asked questions about claude-opus-4-6

What is claude-opus-4-6?

Compare claude-opus-4-6 API pricing, supported endpoints, capabilities and access options on Modelsell.

How do I call claude-opus-4-6?

Create an API key with access to claude-opus-4-6, 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-4-6 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-4-6?

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-4-6?

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

How should I evaluate claude-opus-4-6 for my project?

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

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