Claude Opus 4.5
claude-opus-4-5Compare claude-opus-4-5 API pricing, supported endpoints, capabilities and access options on Modelsell.
- Starting price
- Input / Output · 1M
- Context
- 200K
- Maximum input window
- Max output
- 64K
- Maximum tokens per response
- Modalities
- →
- Knowledge cutoff
- May 2025
- Released
- Nov 2025
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 4.5
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 4.5
为难题保留足够的分析空间
Claude Opus 4.5 适合需要认真理解背景、权衡约束和组织论证的工作。它可以阅读源码与技术资料，参与复杂故障分析、功能实现计划和代码审查；也可以比较多份业务文件，整理分歧、证据与建议，起草专业报告。
它接受文本和图片，输出文字。除了需求与代码，还可以提供系统结构图、页面截图和报告图表，帮助它理解材料间的关系。例如，对照架构图与实现代码，检查实际依赖是否符合设计；对照流程截图与规范，找出状态提示或操作路径的缺口。
扩展思考适合多条件判断与复杂推理。使用时应留出思考和最终答复的预算，并把最终要回答的问题写清楚。对于很大的任务，先要求形成问题清单和证据索引，再逐项深入，比一次生成过长的开放式报告更容易审核。
函数调用可以衔接查询与执行工具，结构化输出可以将审查意见整理为固定字段。开发环境提供文件编辑和测试工具后，它可以参与实现与验证；知识工作中配置检索工具后，可以继续获取所需资料。重要结论应关联输入文档或工具结果，使团队能检查分析依据。
实际协作问题
能帮助处理遗留代码吗？ 可以先解释现有行为与隐含约束，再提出修改步骤，要求保留兼容性并验证历史用例。
怎样让评审意见有优先级？ 指定风险维度，如数据损坏、功能中断、维护成本，要求每项说明触发条件、影响和验证方法。
Use cases and prompting
以复杂问题的证据链组织输入
提供背景、现有实现、失败表现和不可变条件。
请分析这个库存服务为何在超时重试后出现重复扣减。
材料包括调用时序图、事务代码、日志和补偿任务。
先重建失败时间线，再列出每一步的库存状态与证据，给出最小修复。
保留现有库存口径，补充能覆盖超时与重复请求的验证方案。
长文评审要求引用章节或文件位置。需要扩展思考时使用相应配置，并预留输出空间；调用工具后记录实际结果，最终给出已确认结论与待验证事项。
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 kiro | Unlimited | Unlimited | Unlimited |
| Claude kiro ZL | Unlimited | Unlimited | Unlimited |
| default | Unlimited | Unlimited | Unlimited |
| AmazonBedrock | Unlimited | Unlimited | Unlimited |
| Anthropic | Unlimited | Unlimited | Unlimited |
| CCMax | Unlimited | Unlimited | Unlimited |
No restriction
Frequently asked questions about claude-opus-4-5
What is claude-opus-4-5?
Compare claude-opus-4-5 API pricing, supported endpoints, capabilities and access options on Modelsell.
How do I call claude-opus-4-5?
Create an API key with access to claude-opus-4-5, 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-4-5 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-4-5?
The model catalog lists a context window of 200000 tokens. Check the selected endpoint for request limits.
What is the maximum output of claude-opus-4-5?
The model catalog lists a maximum output of 64000 tokens. Your request settings may set a lower limit.
How should I evaluate claude-opus-4-5 for my project?
Start with the use cases and prompting guidance on this page, then evaluate the model with representative inputs from your project.