DataLearner 标志

Opus 4.7vsClaude Opus 4.6

在 22 个共同 benchmark 中,Opus 4.7 整体领先:Opus 4.7 领先 18 项,Claude Opus 4.6 领先 4 项,持平 0 项,平均分差 +7.34。

Anthropic
Opus 4.7

Anthropic · 2026-04-16 · 推理大模型

Anthropic
Claude Opus 4.6

Anthropic · 2026-02-05 · 推理大模型

Opus 4.718 (82%)(18%)4 Claude Opus 4.6

评测分数

按能力类目分组,每组内按分差大小排列;共 22 项。

Coding and Software Engineer

Opus 4.7 领先 4/4
评测项Opus 4.7Claude Opus 4.6分差
GSO44.121 / 21Normal (With Tools)33.335 / 21Normal (With Tools)+10.79
WeirdML v276.4013 / 52Normal (With Tools)65.9023 / 52Normal (With Tools)+10.50
Text Arena (Coding)1,5627 / 35Normal (No Tools)1,5558 / 35Normal (No Tools)+7.04
SWE-bench Verified87.606 / 116Extended (with tools)80.8410 / 116Extended (with tools)+6.76

Agent Level Benchmark

Opus 4.7 领先 2/3
评测项Opus 4.7Claude Opus 4.6分差
τ³-Banking40.2130 / 164Max (With Tools)27.3269 / 164Max (With Tools)+12.89
τ²-Bench - Telecom74128 / 264Normal (With Tools)84.8090 / 264Normal (With Tools)-10.80
Terminal Bench Hard54.5015 / 244Normal (With Tools)48.5025 / 244Normal (With Tools)+6

AI Agent - Tool Usage

Opus 4.7 领先 3/3
评测项Opus 4.7Claude Opus 4.6分差
OSWorld-Verified7811 / 26Extended (with tools)72.7016 / 26Extended (with tools)+5.30
Terminal Bench 2.069.406 / 48Extended (with tools)65.4011 / 48Extended (with tools)+4
MCP-Atlas79.1013 / 43Deep Thinking (With Tools)76.8018 / 43Deep Thinking (With Tools)+2.30

General Knowledge

Opus 4.7 领先 2/2
评测项Opus 4.7Claude Opus 4.6分差
HLE33.30184 / 563Normal (No Tools) · Text only19.10299 / 563Normal (No Tools) · Text only+14.20
CritPt5.1094 / 200Normal (No Tools)2.80120 / 200Normal (No Tools)+2.30

Math and Reasoning

Opus 4.7 领先 2/2
评测项Opus 4.7Claude Opus 4.6分差
FrontierMath Tier 4 v231.7117 / 42Max (No Tools)26.8323 / 42Max (No Tools)+4.88
FrontierMath v270.1815 / 58Max (No Tools)65.9618 / 58Max (No Tools)+4.21

Claw-style Agent Evaluation

Opus 4.7 领先 1/1
评测项Opus 4.7Claude Opus 4.6分差
PinchBench v276.0115 / 45Reported best (effort unspecified)69.9026 / 45Reported best (effort unspecified)+6.11

Instruction Following

Claude Opus 4.6 领先 1/1
评测项Opus 4.7Claude Opus 4.6分差
IF Bench43.60189 / 282Normal (No Tools)44.60182 / 282Normal (No Tools)-1

Long Context

Opus 4.7 领先 1/1
评测项Opus 4.7Claude Opus 4.6分差
AA-LCR75.7082 / 170Normal (No Tools)67116 / 170Normal (No Tools)+8.70

Multimodal Understanding

Opus 4.7 领先 1/1
评测项Opus 4.7Claude Opus 4.6分差
MMMU-Pro76.4073 / 227Normal (No Tools)72.50114 / 227Normal (No Tools)+3.90

Text Embedding

Claude Opus 4.6 领先 1/1
评测项Opus 4.7Claude Opus 4.6分差
Context Arena22.12122 / 126Normal (No Tools)60.3376 / 126Normal (No Tools)-38.21

Writing and Creative Capabilities

Opus 4.7 领先 1/1
评测项Opus 4.7Claude Opus 4.6分差
Creative Writing1,9079 / 106Normal (No Tools)1,80419 / 106Normal (No Tools)+103

常识推理

Claude Opus 4.6 领先 1/1
评测项Opus 4.7Claude Opus 4.6分差
SimpleBench61.7027 / 93Normal (No Tools)67.6019 / 93Normal (No Tools)-5.90

科学与综合推理

Opus 4.7 领先 1/1
评测项Opus 4.7Claude Opus 4.6分差
GPQA Diamond88.50110 / 462Normal (No Tools)84176 / 462Normal (No Tools)+4.50

规格对比

字段Opus 4.7Claude Opus 4.6
发布机构AnthropicAnthropic
发布时间2026-04-162026-02-05
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1000K1000K
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 4.7Claude Opus 4.6
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 (4/4)、Agent Level Benchmark (2/3)、AI Agent - Tool Usage (3/3)、General Knowledge (2/2)、Math and Reasoning (2/2)、Claw-style Agent Evaluation (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)
  • Claude Opus 4.6在以下类目领先:Instruction Following (1/1)、Text Embedding (1/1)、常识推理 (1/1)

22 个共同 benchmark 上,Opus 4.7 平均高出 7.34 分。

单项差距最大的 benchmark:Creative Writing — Opus 4.7 1,907,Claude Opus 4.6 1,804(分差 +103)。

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。