Claude Opus 5.5
claude-opus-5-5Compare claude-opus-5-5 API pricing, supported endpoints, capabilities and access options on Modelsell.
- Starting price
- Input / Output · 1M
- Context
- 1M
- Maximum input window
- Max output
- 128K
- Maximum tokens per response
- Modalities
- →
- Knowledge cutoff
- Jun 2026
- Released
- Sep 2026
Pricing by Supplier
Capabilities / Supported modalities
Provider & data privacy
Anthropic Claude tokenizerPerformance
Benchmarks
Scores on standardized evaluations. Higher percentages are better — and rank percentile shows
Metrics sourced fromArtificial Analysis 2026-09-30·Claude Opus 5.5
Intelligence Index
Claude Opus 5.5
57.6
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 5.5
适合需要持续推进的项目
Claude Opus 5.5 面向长时间、多步骤的编程和知识工作。它适合阅读一个项目的实现与约定后完成改造，也适合综合多份业务材料、比较方案、整理证据并撰写专业文档。任务不必在一轮回答里结束，可以围绕中间结果继续修正方向。
大量上下文中的关系更重要
模型接受文本与图片，能够结合代码、需求文档、界面截图和图表进行分析。它适合处理材料间相互依赖的工作，例如把新需求映射到现有模块，找出多个方案中的共同约束，或检查一份报告的结论是否与原始资料一致。给出任务边界、已有决策和交付要求，有助于保持工作方向。
自适应思考贯穿工作过程
Opus 5.5 始终启用自适应思考，通过 effort 调整思考深度。简单改动可以采用较轻设置，跨模块设计和复杂判断则可以增加思考投入。接入工具后，应用应保留完整的对话与工具结果，让模型继续依据实际信息工作，而不是在每一步重新丢失上下文。
它适合把‘分析、执行、检查、修正’连成一个流程。代码任务应明确验证方法，文档任务应要求区分事实与推断；工作较长时，可以在阶段末保存已完成内容、未解决问题和下一步，方便接续。
Use cases and prompting
跨模块改造示例
“阅读现有通知服务、重试队列和管理后台需求。目标是让失败通知可查询并重试，保留当前发送接口。先列出涉及模块与状态变化，再分步实现，每一步说明修改范围和验证结果。遇到历史数据兼容问题先提出方案，不要擅自重写旧记录。”
长流程如何保持方向
把已有决策、允许修改的范围和阶段验收条件放在清楚的位置，并保留工具返回结果。阶段结束时记录成果与剩余问题。
可以关闭 thinking 吗？
Opus 5.5 的自适应思考始终开启，应通过 effort 调整强度。
强制指定工具为什么报错？
该版本不接受强制工具使用的设置。接入时需调整工具选择方式，并保留模型正常选择工具的空间。
API access
API documentation
Code samples
/v1/messages| Parameter | Type | Default / range | Description |
|---|---|---|---|
temperature | number | = 10 ~ 2 | Sampling temperature; lower is more deterministic |
top_p | number | = 10 ~ 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
| Parameter | Type | Default / range | Description |
|---|---|---|---|
temperature | number | = 10 ~ 2 | Sampling temperature; lower is more deterministic |
top_p | number | = 10 ~ 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 |
|---|---|---|---|
| CCMax-ZL | Unlimited | Unlimited | Unlimited |
| claude特供 | Unlimited | Unlimited | Unlimited |
| AmazonBedrock | Unlimited | Unlimited | Unlimited |
| AmazonBedrock-ZL | Unlimited | Unlimited | Unlimited |
| CCMax | Unlimited | Unlimited | Unlimited |
No restriction
Frequently asked questions about claude-opus-5-5
What is claude-opus-5-5?
Compare claude-opus-5-5 API pricing, supported endpoints, capabilities and access options on Modelsell.
How do I call claude-opus-5-5?
Create an API key with access to claude-opus-5-5, 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-5-5 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-5-5?
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-5-5?
The model catalog lists a maximum output of 128000 tokens. Your request settings may set a lower limit.
How should I evaluate claude-opus-5-5 for my project?
Start with the use cases and prompting guidance on this page, then evaluate the model with representative inputs from your project.