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Head-to-Head Model Comparison

Claude Opus 4.1 vs Gemini 2.5 Computer Use

Benchmarks, API Token Pricing, Context Window & Speed Comparison

由 GetInfoUs 研究团队审核最后审核日期：October 2026编辑政策
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AI CompareAI BenchmarkToken PricingModel CostModel SpecsSWE-bench CodingModel VersusWhich AI ModelLLM Speed & LatencyReasoning ModelsExtended ThinkingPrompt Caching ROI
Claude Opus 4.1 vs Gemini 2.5 Computer Use: Benchmarks, Pricing & Speed Comparison

Anthropic 的 Claude Opus 4.1 与 Google 的 Gemini 2.5 Computer Use 是当前备受关注的两款主力 AI 模型。Claude Opus 4.1 提供 200K Token 上下文窗口，API 定价为每百万 Token 输入 $15.00 / 输出 $75.00；而 Gemini 2.5 Computer Use 提供 128K Token 上下文窗口，定价为每百万 Token 输入 $1.50 / 输出 $8.00。以下为两者的基准测试、延迟与成本全面对比。

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Anthropic

Claude Opus 4.1

自主智能体与工具专家

Anthropic 推出的 Claude Opus 4.1 是一款专为长周期自主智能体 (Agent)、工具调用与自动化工作流打造的大模型，具备 200K 上下文窗口、46 Token/秒生成速度与 62/100 综合智能指数（每百万 Token $15 输入 / $75 输出）。

Intelligence Index62 / 100
Input Token:

$15.00 / 1M

Output Token:

$75.00 / 1M

Context Window:

200K tokens

SWE-bench Verified:

74.5%

Google

Gemini 2.5 Computer Use

自主智能体与工具专家

Google 推出的 Gemini 2.5 Computer Use 是一款专为长周期自主智能体 (Agent)、工具调用与自动化工作流打造的大模型，具备 128K 上下文窗口、85 Token/秒生成速度与 65/100 综合智能指数（每百万 Token $1.5 输入 / $8 输出）。

Intelligence Index65 / 100
Input Token:

$1.50 / 1M

Output Token:

$8.00 / 1M

Context Window:

128K tokens

SWE-bench Verified:

N/A

核心差异一览

  • Gemini 2.5 Computer Use is 9.2x cheaper for API usage (input + output tokens combined).
  • Claude Opus 4.1 has a larger context window (200K vs 128K tokens).
  • Gemini 2.5 Computer Use is faster at 85 tok/s vs 46 tok/s.
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureClaude Opus 4.1Gemini 2.5 Computer Use
Intelligence Index
Composite reasoning & knowledge score (0-100)
6265
Provider
AnthropicGoogle
Input Price
Cost per million input tokens
$15.00 / 1M$1.50 / 1M
Output Price
Cost per million output tokens
$75.00 / 1M$8.00 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$11.55 / 1M$1.36 / 1M
Context Window
Maximum input + output tokens
200K tokens~300 A4 pages of text128K tokens~192 A4 pages of text
Max Output Tokens
Per single request
32K16K
Throughput Speed
Tokens generated per second
46 tok/s85 tok/s
SWE-bench Verified
Real-world software engineering
74.5%N/A
GPQA Diamond
Graduate-level reasoning
74.4%N/A
Cached Input Price
Prompt caching discount per 1M tokens
$1.50 / 1M$0.38 / 1M

各项指标谁更胜一筹？

At-a-glance decision framework
Coding

Evaluations ongoing

Cost
Gemini 2.5 Computer Use
9.2x cheaper monthly runtime
Speed
Gemini 2.5 Computer Use
+85% faster generation
Context
Claude Opus 4.1
200K tokens window

权威基准测试得分对比

Official evaluation metrics verified by independent third-party research labs.

Claude Opus 4.1Gemini 2.5 Computer Use
SWE-bench Verified (Autonomous Coding)

Industry benchmark evaluating real-world GitHub issue resolution and multi-file debugging.

74.5%vsN/A
GPQA Diamond (Doctorate-Level Science & Math)

Challenging questions created by domain experts to test complex PhD-level reasoning.

74.4%vsN/A
MMLU-Pro (Multi-task Language Understanding)

Hardened reasoning and academic knowledge benchmark with reduced lucky-guess probability.

86.8%vsN/A
LMSYS Chatbot Arena Elo

Crowdsourced human preference evaluation based on blind, head-to-head model battles.

1372ptsvs1365pts
Terminal-Bench (Agentic Coding & Terminal Use)

Autonomous multi-step tasks executed inside a real command-line terminal environment.

45%vs45.2%
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

46 tok/s vs85 tok/s

延迟与响应速度

Time to first token (TTFT) and estimated end-to-end response time for a typical 500-token response.

Time to First Token (TTFT)Lower is better
Claude Opus 4.11.70s
Gemini 2.5 Computer Use0.65s
Est. End-to-End Response (500 tokens)TTFT + generation time
Claude Opus 4.112.57s
Gemini 2.5 Computer Use6.53s

实时 Token 成本模拟器

Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.

100K / day
10K500K1M
30K / day
5K150K300K
50% cached
0% (Cold)50%90% (Warm)
Claude Opus 4.1 Monthly API Bill
$92.25 / month
$15/1M in · $75/1M out
Gemini 2.5 Computer Use Monthly API Bill
$10.01 / month
$1.5/1M in · $8/1M out
Gemini 2.5 Computer Use saves approximately $82.24 / month (89%) under this workload.9.2x Savings

Claude Opus 4.1 · Strengths & Key Advantages

  • 提供 200K 上下文窗口与最高 32K 输出容量，核心基准表现优异（SWE-bench Verified 74.5% · GPQA Diamond 74.4%）
  • 高达 46 Token/秒的生成吞吐量，首字延迟 (TTFT) 仅约 1700 毫秒
  • 极具竞争力的 API 定价（每百万 Token $15 输入 / $75 输出），原生支持提示词缓存、函数调用与结构化 JSON 输出
Considerations & Trade-offs
  • 闭源专有云端模型，不支持下载权重进行离线本地物理隔离部署
  • 在大规模高频调用场景下，建议结合提示词缓存 (Prompt Caching) 与批量 API 以控制成本

Gemini 2.5 Computer Use · Strengths & Key Advantages

  • 提供 128K 上下文窗口与最高 16K 输出容量，核心基准表现优异（Arena Elo 1365）
  • 高达 85 Token/秒的生成吞吐量，首字延迟 (TTFT) 仅约 650 毫秒
  • 极具竞争力的 API 定价（每百万 Token $1.5 输入 / $8 输出），原生支持提示词缓存、函数调用与结构化 JSON 输出
Considerations & Trade-offs
  • 闭源专有云端模型，不支持下载权重进行离线本地物理隔离部署
  • 在超长链路的前沿科研推导任务上，深度略逊于顶配重型旗舰推理模型

Token Use & Task Economics

Estimated cost and token consumption to complete one representative agentic task.

MetricClaude Opus 4.1Gemini 2.5 Computer Use
Cost per Task
Estimated USD to finish one task
$16.46$1.15
Output Tokens / Task
Tokens generated per task
72K15K
Reasoning Tokens / Task
Thinking tokens burned per task
37K6K

技术规格参数

Architecture, release timeline, capabilities, and modalities.

FeatureClaude Opus 4.1Gemini 2.5 Computer Use
Official API Model ID (SDK)claude-opus-4-1-20250801models/gemini-2-5-computer-use
API ProtocolAnthropic Messages API + AWS Bedrock + Vertex AIGoogle Gemini API (generateContent) + OpenAI-Compatible SDK
Release Date2025-082025-10
Knowledge CutoffMarch 2025June 2025
ArchitectureRefined Frontier Reasoning TransformerAction-grounded vision-language agent model
ParametersConfidentialConfidential
Enterprise Rate Limits (RPM / TPM)4,000 – 10,000 RPM (Tier 4 + Priority Tier) · 800,000 – 2,000,000 TPM10,000 – 30,000 RPM (Tier 5 Enterprise) · 800,000 – 2,000,000 TPM
Long-Context Tier (>128K/200K)Standard rate up to 200K tokens; 2x input/output tier above 200K tokensFlat rate ($1.5/1M in) across full 128K window
Prompt Cache Policy & TTL$1.5/1M cached read (90% off); 5-min default & 1-hour extended TTLImplicit + Explicit Context Caching at $0.375/1M with configurable TTL
Computer Use / GUI AgentSupported (Screen coordinate grounding, browser & desktop GUI action loops)Supported (Screen coordinate grounding, browser & desktop GUI action loops)
MCP & Parallel Tool CallingNative MCP Client/Server ready · Parallel function calling · 100% Strict JSON SchemaNative MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema
Web Search Grounding & SandboxNative Web Search Citations + Code Execution Tool + MCP ConnectorsBuilt-in Google Search Grounding + Managed Python Code Execution Sandbox
Official Fine-Tuning SupportCustom Model Tuning via Amazon Bedrock & Prompt DistillationVertex AI Supervised Adapter Tuning & Context Distillation
Multimodal Token BillingText BPE (~4 chars/token) · Vision (~258–765 tokens per image tile)Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile)
Quantization & Min GPU VRAMCloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster) · Zero Local VRAM Required (100% Serverless Cloud API)Cloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster) · Zero Local VRAM Required (100% Serverless Cloud API)
Safety & Frontier ClassificationAnthropic RSP ASL-2 / ASL-3 Constitutional Safety EvaluatedGoogle DeepMind Frontier Safety Framework Verified
Enterprise Compliance (ZDR/HIPAA/SOC2)SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise TierSOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier
Input Modalitiestext, visiontext, vision
Output Modalitiestexttext

Claude Opus 4.1 vs Gemini 2.5 Computer Use: 常见问题解答 (FAQ)

Which is more intelligent, Claude Opus 4.1 or Gemini 2.5 Computer Use?

Gemini 2.5 Computer Use is more intelligent. It scores 65 compared with 62 on the composite Intelligence Index.

Which model is faster?

Gemini 2.5 Computer Use is faster, generating 85 tokens per second compared with 46 tokens per second.

Which model is cheaper to run?

Gemini 2.5 Computer Use is cheaper at $1.36 per 1M tokens blended, compared with $11.55 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Gemini 2.5 Computer Use has lower latency, with a time to first token of 0.65s compared with 1.70s.

Which model has a larger context window?

Claude Opus 4.1 has a larger context window, supporting 200K tokens compared with 128K tokens.

综合结论

综合来看，Claude Opus 4.1（适合：专为长周期自主智能体 (Agent)、工具调用与自动化工作流打造的任务、企业级 RAG 检索增强生成、自动化智能体工作流与高可靠 API 集成。）与 Gemini 2.5 Computer Use（适合：专为长周期自主智能体 (Agent)、工具调用与自动化工作流打造的任务、企业级 RAG 检索增强生成、自动化智能体工作流与高可靠 API 集成。）各具优势：Gemini 2.5 Computer Use 在综合智能与编程基准测试中表现更强，Gemini 2.5 Computer Use 拥有更快的 Token 生成速度，而 Gemini 2.5 Computer Use 则在规模化 API 部署中具备更高的成本效益。

常见问题 (FAQ)

在编程和深度推理方面，Claude Opus 4.1 和 Gemini 2.5 Computer Use 哪个更强？+

在综合智能指数与编程基准评测中，Gemini 2.5 Computer Use 表现占优。建议结合上方的 SWE-bench Verified 与 GPQA Diamond 跑分根据具体场景选择。

Claude Opus 4.1 与 Gemini 2.5 Computer Use 的 API 价格哪个更便宜？+

Claude Opus 4.1 的 API 价格为输入 $15.00 / 输出 $75.00（每百万 Token），Gemini 2.5 Computer Use 为输入 $1.50 / 输出 $8.00。综合混合成本来看，Gemini 2.5 Computer Use 更具性价比。

哪款模型拥有更大的上下文窗口和更快的响应速度？+

Claude Opus 4.1 支持 200K Token 上下文窗口，而 Gemini 2.5 Computer Use 支持 128K Token。在流式生成速度方面，Gemini 2.5 Computer Use 的吞吐表现更快。

AI Terminology & Guide
Explore Glossary →

Understand key metrics like context window, token pricing, reasoning mode, and SWE-bench scores in our comprehensive AI glossary.

Tokens & PricingContext WindowAI BenchmarksReasoning ModelsTool CallingModel Context Protocol (MCP)

Related reading

Benchmark scores, token prices, and rate limits evolve rapidly as AI labs release model updates. Always verify current specifications and pricing on the official provider documentation.

数据来源: Anthropic 与 Google 官方 API 文档、模型发布说明及独立基准测试报告 (2026)。