DataLearner 标志

Opus 4.7vsGemini 3.1 Pro Preview

在 11 个同模式 benchmark 中,Opus 4.7 整体领先:Opus 4.7 领先 7 项,Gemini 3.1 Pro Preview 领先 4 项,持平 0 项,平均分差 +47.11。另有 27 项测试模式不同,仅供参考。

Anthropic
Opus 4.7

Anthropic · 2026-04-16 · 推理大模型

Google DeepMind
Gemini 3.1 Pro Preview

Google DeepMind · 2026-02-20 · 多模态大模型

Opus 4.77 项(64%)(36%)4 项Gemini 3.1 Pro Preview

评测分数

按能力类目分组,每组内按分差大小排列;共 11 项。

仓库修复与多文件工程

Opus 4.7 领先 2/2
评测项Opus 4.7Gemini 3.1 Pro Preview分差
FrontierSWE v156.258 / 17Historical report (mode unspecified)34.3811 / 17Historical report (mode unspecified)+21.88
APEX-SWE41.3436 / 73Thinking High (With Tools)33.9055 / 73Thinking High (With Tools)+7.44

写作与创意表达

Opus 4.7 领先 1/1
评测项Opus 4.7Gemini 3.1 Pro Preview分差
Creative Writing1,91412 / 112Normal (No Tools)1,49157 / 112Normal (No Tools)+423

多轮记忆与持续上下文

Gemini 3.1 Pro Preview 领先 1/1
评测项Opus 4.7Gemini 3.1 Pro Preview分差
Context Arena44.9096 / 126Thinking High (No Tools)84.7325 / 126Thinking High (No Tools)-39.83

常识推理

Gemini 3.1 Pro Preview 领先 1/1
评测项Opus 4.7Gemini 3.1 Pro Preview分差
SimpleBench61.7030 / 95Normal (No Tools)79.609 / 95Normal (No Tools)-17.90

机器学习工程

Opus 4.7 领先 1/1
评测项Opus 4.7Gemini 3.1 Pro Preview分差
WeirdML v276.4013 / 53Normal (With Tools)72.1017 / 53Normal (With Tools)+4.30

维护、优化与工程管理

Opus 4.7 领先 1/1
评测项Opus 4.7Gemini 3.1 Pro Preview分差
GSO44.121 / 22Normal (With Tools)22.5510 / 22Normal (With Tools)+21.57

综合偏好评测

Opus 4.7 领先 1/1
评测项Opus 4.7Gemini 3.1 Pro Preview分差
Text Arena (Coding)1,5627 / 36Normal (No Tools)1,46124 / 36Normal (No Tools)+100.90

自主开发与终端任务

Opus 4.7 领先 1/1
评测项Opus 4.7Gemini 3.1 Pro Preview分差
Terminal-Bench 2.169.7045 / 62Thinking High (With Tools)65.8449 / 62Thinking High (With Tools)+3.86

跨应用与工具编排

Gemini 3.1 Pro Preview 领先 1/1
评测项Opus 4.7Gemini 3.1 Pro Preview分差
PinchBench v276.0115 / 45Reported best (effort unspecified)81.019 / 45Reported best (effort unspecified)-5

跨能力综合测试

Gemini 3.1 Pro Preview 领先 1/1
评测项Opus 4.7Gemini 3.1 Pro Preview分差
LiveBench74.8945 / 157Thinking High (No Tools)76.9529 / 157Thinking High (No Tools)-2.06

测试模式不同的成绩

共 27 项。两款模型的公开成绩来自不同测试模式,分数不直接可比,不计入胜负和平均分差。

评测项Opus 4.7Gemini 3.1 Pro Preview
Terminal Bench 2.069.40Extended (With Tools)68.50Thinking High (With Tools)
Terminal Bench Hard54.50Normal (With Tools)53.80Thinking (With Tools)
Vals Index56.11Max (With Tools)41.90Thinking High (With Tools)
MedCode54.86Max (With Tools)59.06Thinking High (With Tools)
MedScribe82.95Max (With Tools)76.11Thinking High (With Tools)
Vibe Code Bench v1.171Max (With Tools)32.03Thinking High (With Tools)
AA-AnalystAgent43.75Max (With Tools + Internet)41.25Thinking (With Tools + Internet)
OSWorld-Verified78Extended (With Tools)76.20Thinking (With Tools)
BrowseComp79.30Extended (With Tools)85.90Thinking High (With Tools + Internet)
EMB (Excel Modeling)63.73Max (With Tools)52.62Thinking High (With Tools)
Finance Agent v251.51Max (With Tools)42.98Thinking High (With Tools)
HLE54.70Extended (With Tools)51.40Thinking High (With Tools)
Legal Research Bench38.46Max (With Tools)20.67Thinking High (With Tools)
Code Migration43.88Max (With Tools)17.31Thinking High (With Tools)
FrontierMath43.80Extra-High (No Tools)36.90Thinking High (No Tools)
FrontierMath - Tier 422.90Extra-High (No Tools)16.70Normal (No Tools)
FrontierMath Tier 4 v231.71Max (With Tools)26.83Reported best (effort unspecified)
FrontierMath v270.18Max (With Tools)59.65Reported best (effort unspecified)
EBR-bench19.05Max (With Tools)14.29Thinking (With Tools)
SWE-Bench Pro - Public64.30Extended (With Tools)54.20Thinking High (With Tools)
SWE-bench Verified87.60Extended (With Tools)80.60Thinking High (With Tools)
CritPt5.10Normal (No Tools)17.70Thinking (No Tools)
GPQA Diamond94.20Extended (No Tools)94.30Thinking High (No Tools)
SAGE56.10Max (With Tools)48.68Thinking High (With Tools)
τ³-Banking40.21Max (With Tools)26.03Thinking High (With Tools)
MCP-Atlas79.10Deep Thinking (With Tools)78.20Thinking High (With Tools)
MMMU-Pro76.40Normal (No Tools)82.40Thinking (No Tools)

规格对比

字段Opus 4.7Gemini 3.1 Pro Preview
发布机构AnthropicGoogle DeepMind
发布时间2026-04-162026-02-20
模型类型推理大模型多模态大模型
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1000K1M
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 4.7Gemini 3.1 Pro Preview
文本输入$5 / 1M tokens$2 / 1M tokens
文本输出$25 / 1M tokens$12 / 1M tokens
缓存读取$0.5 / 1M tokens$0.2 / 1M tokens
缓存写入$6.25 / 1M tokens暂无公开价格

小结

  • Opus 4.7在以下类目领先:仓库修复与多文件工程 (2/2)、写作与创意表达 (1/1)、机器学习工程 (1/1)、维护、优化与工程管理 (1/1)、综合偏好评测 (1/1)、自主开发与终端任务 (1/1)
  • Gemini 3.1 Pro Preview在以下类目领先:多轮记忆与持续上下文 (1/1)、常识推理 (1/1)、跨应用与工具编排 (1/1)、跨能力综合测试 (1/1)

11 个同模式 benchmark 上,Opus 4.7 平均高出 47.11 分。

单项差距最大的 benchmark:Creative Writing — Opus 4.7 1,914,Gemini 3.1 Pro Preview 1,491(分差 +423)。

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。