DataLearner 标志

Opus 4.7vsOpus 4.5

在 12 个共同 benchmark 中,Opus 4.7 整体领先:Opus 4.7 领先 11 项,Opus 4.5 领先 1 项,持平 0 项,平均分差 +30.51。

Anthropic
Opus 4.7

Anthropic · 2026-04-16 · 推理大模型

Anthropic
Opus 4.5

Anthropic · 2025-11-25 · 推理大模型

Opus 4.711 (92%)(8%)1 Opus 4.5

评测分数

按能力类目分组,每组内按分差大小排列;共 12 项。

Coding and Software Engineer

Opus 4.7 领先 3/3
评测项Opus 4.7Opus 4.5分差
Text Arena (Coding)1,5627 / 35Normal (No Tools)1,47920 / 35Normal (No Tools)+83.39
GSO44.121 / 21Normal (With Tools)26.508 / 21Normal (With Tools)+17.62
SWE-bench Verified87.606 / 116Extended (with tools)80.909 / 116Extended (with tools)+6.70

Agent Level Benchmark

胶着 2/2
评测项Opus 4.7Opus 4.5分差
Terminal Bench Hard54.5015 / 244Normal (With Tools)40.9050 / 244Normal (With Tools)+13.60
τ²-Bench - Telecom74128 / 264Normal (With Tools)86.3082 / 264Normal (With Tools)-12.30

AI Agent - Tool Usage

Opus 4.7 领先 1/1
评测项Opus 4.7Opus 4.5分差
Terminal Bench 2.069.406 / 48Extended (with tools)59.3020 / 48Extended (with tools)+10.10

General Knowledge

Opus 4.7 领先 1/1
评测项Opus 4.7Opus 4.5分差
CritPt5.1094 / 200Normal (No Tools)0.30182 / 200Normal (No Tools)+4.80

Instruction Following

Opus 4.7 领先 1/1
评测项Opus 4.7Opus 4.5分差
IF Bench43.60189 / 282Normal (No Tools)43194 / 282Normal (No Tools)+0.60

Long Context

Opus 4.7 领先 1/1
评测项Opus 4.7Opus 4.5分差
AA-LCR75.7082 / 170Normal (No Tools)70.7099 / 170Normal (No Tools)+5

Multimodal Understanding

Opus 4.7 领先 1/1
评测项Opus 4.7Opus 4.5分差
MMMU-Pro76.4073 / 228Normal (No Tools)71.20121 / 228Normal (No Tools)+5.20

Writing and Creative Capabilities

Opus 4.7 领先 1/1
评测项Opus 4.7Opus 4.5分差
Creative Writing1,9079 / 106Normal (No Tools)1,68329 / 106Normal (No Tools)+223.90

科学与综合推理

Opus 4.7 领先 1/1
评测项Opus 4.7Opus 4.5分差
GPQA Diamond88.50110 / 462Normal (No Tools)81220 / 462Normal (No Tools)+7.50

规格对比

字段Opus 4.7Opus 4.5
发布机构AnthropicAnthropic
发布时间2026-04-162025-11-25
模型类型推理大模型推理大模型
架构稠密模型稠密模型
参数规模暂无数据暂无数据
上下文长度1000K200K
最大输出128K64K

API 调用价格

价格优先使用 DataLearner 配置的 API 记录;缺失项不做推测。

价格项Opus 4.7Opus 4.5
文本输入$5 / 1M tokens$5 / 1M tokens
文本输出$25 / 1M tokens$25 / 1M tokens
缓存读取$0.5 / 1M tokens$0.5 / 1M tokens
缓存写入$6.25 / 1M tokens$6.25 / 1M tokens

小结

  • Opus 4.7在以下类目领先:Coding and Software Engineer (3/3)、AI Agent - Tool Usage (1/1)、General Knowledge (1/1)、Instruction Following (1/1)、Long Context (1/1)、Multimodal Understanding (1/1)、Writing and Creative Capabilities (1/1)、科学与综合推理 (1/1)
  • 胶着类目:Agent Level Benchmark

12 个共同 benchmark 上,Opus 4.7 平均高出 30.51 分。

单项差距最大的 benchmark:Creative Writing — Opus 4.7 1,907,Opus 4.5 1,683(分差 +223.90)。

本页正文由结构化模型、价格与 benchmark 数据生成,不使用实时 LLM 撰写。