输入价格
$6.25
缓存未命中 / 百万 Token
闭源模型 ・ 2026年4月发布
Claude Opus 4.7 (Adaptive Reasoning, Max Effort) is amongst the leading models in intelligence, but particularly expensive when comparing to other models of similar price. It's also slower than average and very verbose. The model supports text and image input, outputs text, and has a 1m tokens context window with knowledge up to January 2026. Claude Opus 4.7 (Adaptive Reasoning, Max Effort) scores 57 on the Artificial Analysis Intelligence Index, placing it well above average among comparable models (averaging 36 ). When evaluating the Intelligence Index, it generated 110M tokens, which is very verbose in comparison to the average of 36M .
输入价格
$6.25
缓存未命中 / 百万 Token
缓存命中输入
$0.63
每百万 Token
输出价格
$25.00
每百万 Token
上下文窗口
1.0M
Token
| 提供商 | Anthropic |
|---|---|
| 模型 ID | claude-opus-4-7 |
| 模型类型 | 闭源模型 |
| 输入价格 | $6.25 / 百万缓存未命中 Token |
| 缓存命中输入价格 | $0.63 / 百万 Token |
| 输出价格 | $25.00 / 百万 Token |
| 上下文窗口 | 1.0M Token |
| 能力 | text in:textin:image |
| 发布日期 | 2026-04-16 |
| 价格来源 | Artificial Analysis 官方 |
| 备注 | Claude Opus 4.7 (Adaptive Reasoning, Max Effort) is amongst the leading models in intelligence, but particularly expensive when comparing to other models of similar price. It's also slower than average and very verbose. The model supports text and image input, outputs text, and has a 1m tokens context window with knowledge up to January 2026. Claude Opus 4.7 (Adaptive Reasoning, Max Effort) scores 57 on the Artificial Analysis Intelligence Index, placing it well above average among comparable models (averaging 36 ). When evaluating the Intelligence Index, it generated 110M tokens, which is very verbose in comparison to the average of 36M . |
对比行业主流模型在标准评测中的表现。
AA Agentic Index
71.300
AA Coding Index
52.500
AA Intelligence Index
57.300
AA-LCR
70.3%
AA-Omniscience Index
26.200
AIME
90.3%
AIME 2025
93.4%
APEX-Agents-AA
32.0%
| 来源 | 输入价 ($/1M) | 输出价 ($/1M) | 缓存读 | 缓存写 |
|---|---|---|---|---|
| Artificial Analysis 官方 | 6.25 | 25 | 0.625 | 7.8125 |