Claude Sonnet 5.5
claude-sonnet-5-5Compare claude-sonnet-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 Sonnet 5.5
Intelligence Index
Claude Sonnet 5.5
56.0
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 Sonnet 5.5
日常项目里的协作伙伴
Claude Sonnet 5.5 适合既要及时反馈、又需要理解复杂上下文的工作。你可以用它阅读产品需求后整理实现方案，结合界面截图修改交互说明，审阅代码中的边界问题，或把讨论记录转成结构清楚的文档。它可以作为团队日常助手，贯穿构思、制作与修改环节。
文字和画面一起理解
模型支持文本与图片输入。面对界面问题，可以同时提供截图、用户操作路径和预期行为，让它分析信息层级、流程中断点或实现差异；面对文档任务，可以给出受众、参考风格与必须保留的事实，让它进行有目的的重写，而不是只做表面润色。
多轮任务保持上下文
Sonnet 5.5 支持自适应思考，可根据工作要求调整思考投入。简单编辑适合快速完成，涉及多个约束的设计或代码任务则可以先分析后实施。配合应用提供的工具，它也能参与检索、文件处理和代码验证；后续修改应沿用先前确定的目标与工具结果。
让它先交付一个可讨论的版本，再给出具体反馈，通常比反复要求‘再好一点’更有效。说明哪里需要更短、哪项事实必须保留、哪个交互不能改变，可以帮助每轮修改朝同一个目标推进。
Use cases and prompting
界面与文档协作示例
“这是会员升级页截图和用户反馈。用户不清楚各档位差异，也找不到当前套餐。请先指出影响决策的三个问题，再重写页面标题、权益说明和按钮文案。保留现有价格与权益事实，语气简洁，每项修改说明它解决了哪个问题。”
代码任务可附上相关组件和项目约定，让建议对应到实际实现。
怎样让修改越来越接近目标？
用具体反馈替代笼统评价，例如要求缩短说明、突出某项权益或保留某段交互，并说明验收条件。
调整 temperature 后为什么报400？
Sonnet 5.5 不接受非默认的 temperature、top_p 或 top_k。需要控制分析深度时，应使用该模型支持的思考设置与 effort。
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 |
|---|---|---|---|
| AmazonBedrock-ZL | Unlimited | Unlimited | Unlimited |
| CCMax | Unlimited | Unlimited | Unlimited |
| CCMax-ZL | Unlimited | Unlimited | Unlimited |
| AmazonBedrock | Unlimited | Unlimited | Unlimited |
No restriction
Frequently asked questions about claude-sonnet-5-5
What is claude-sonnet-5-5?
Compare claude-sonnet-5-5 API pricing, supported endpoints, capabilities and access options on Modelsell.
How do I call claude-sonnet-5-5?
Create an API key with access to claude-sonnet-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-sonnet-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-sonnet-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-sonnet-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-sonnet-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.