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Anthropic: Claude Opus 4下线

anthropic/claude-opus-4
对比对话

Claude Opus 4 is benchmarked as the world’s best coding model, at time of release, bringing sustained performance on complex, long-running tasks and agent workflows. It sets new benchmarks in software engineering, achieving leading results on SWE-bench (72.5%) and Terminal-bench (43.2%). Opus 4 supports extended, agentic workflows, handling thousands of task steps continuously for hours without degradation.

由:Anthropic输入类型:输出类型:发布时间:2025-05-22

供应商

在多个供应商之间路由请求。复制供应商标识以设置偏好供应商。

供应商缓存命中率上下文
Anthropic下线
anthropic
-$15/ 百万 token$75/ 百万 token读取:1.5/ 百万 token写入:18.75-30/ 百万 token200K--
google-vertex
-$15/ 百万 token$75/ 百万 token读取:1.5/ 百万 token写入:18.75-30/ 百万 token200K--
amazon-bedrock
-$15/ 百万 token$75/ 百万 token读取:1.5/ 百万 token写入:18.75/ 百万 token200K--

可用率

AI Gateway 直连请求及各供应商的成功率。

Sep 14, 07:39
Google Vertex100.00%

吞吐量

AI Gateway 实时流量的 P50 吞吐量,单位为每秒 token 数(TPS)。

No data
No data

延迟

AI Gateway 实时流量的 P50 首 token 延迟(TTFT),单位为毫秒。

No data
该时段暂无延迟样本。

活动

该模型随时间变化的 token 用量和请求流量。

Token 消耗
Sep 13
Anthropic-
Google Vertex4.0K
Amazon Bedrock-

按实际处理请求的供应商拆分 token 用量。区块越大,表示该供应商处理的模型流量越多。

基准测试

标准化评测得分。百分比越高越好,并展示排名百分位。

指标来源:Artificial Analysis

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for. View All

Token 排行
No data
No app usage is available for this period.

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