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Head-to-Head Model Comparison

Claude 3 Opus vs GPT-4

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 3 Opus vs GPT-4: Benchmarks, Pricing & Speed Comparison

Anthropic 的 Claude 3 Opus 与 OpenAI 的 GPT-4 是当前备受关注的两款主力 AI 模型。Claude 3 Opus 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 GPT-4 提供 8.2K Token 上下文窗口，定价为每百万 Token 输入 $30.00 / 输出 $60.00。以下为两者的基准测试、延迟与成本全面对比。

模型直接对比 (VS)

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Anthropic

Claude 3 Opus

经典世代基础模型

Anthropic 推出的 Claude 3 Opus 是一款面向企业级对话与通用文本生成任务的高可靠性经典大模型，具备 200K 上下文窗口、30 Token/秒生成速度与 44/100 综合智能指数（每百万 Token $15 输入 / $75 输出）。

Intelligence Index44 / 100
Input Token:

$15.00 / 1M

Output Token:

$75.00 / 1M

Context Window:

200K tokens

SWE-bench Verified:

32.2%

OpenAI

GPT-4

经典世代基础模型

OpenAI 推出的 GPT-4 是一款面向企业级对话与通用文本生成任务的高可靠性经典大模型，具备 8K 上下文窗口、35 Token/秒生成速度与 38/100 综合智能指数（每百万 Token $30 输入 / $60 输出）。

Intelligence Index38 / 100
Input Token:

$30.00 / 1M

Output Token:

$60.00 / 1M

Context Window:

8.2K tokens

SWE-bench Verified:

21%

核心差异一览

  • Claude 3 Opus is 1.2x cheaper for API usage (input + output tokens combined).
  • Claude 3 Opus has a larger context window (200K vs 8K tokens).
  • GPT-4 is faster at 35 tok/s vs 30 tok/s.
  • Claude 3 Opus leads on SWE-bench coding (32.2% vs 21.0%).
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureClaude 3 OpusGPT-4
Intelligence Index
Composite reasoning & knowledge score (0-100)
4438
Provider
AnthropicOpenAI
Input Price
Cost per million input tokens
$15.00 / 1M$30.00 / 1M
Output Price
Cost per million output tokens
$75.00 / 1M$60.00 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$11.55 / 1M$17.25 / 1M
Context Window
Maximum input + output tokens
200K tokens~300 A4 pages of text8.2K tokens~12 A4 pages of text
Max Output Tokens
Per single request
4K4K
Throughput Speed
Tokens generated per second
30 tok/s35 tok/s
SWE-bench Verified
Real-world software engineering
32.2%21%
GPQA Diamond
Graduate-level reasoning
50.4%35.8%
Cached Input Price
Prompt caching discount per 1M tokens
$1.50 / 1M$7.50 / 1M

各项指标谁更胜一筹？

At-a-glance decision framework
Coding
Claude 3 Opus
+11.2% SWE-bench lead
Cost
Claude 3 Opus
1.2x cheaper monthly runtime
Speed
GPT-4
+17% faster generation
Context
Claude 3 Opus
200K tokens window

权威基准测试得分对比

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

Claude 3 OpusGPT-4
SWE-bench Verified (Autonomous Coding)

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

32.2%vs21%
GPQA Diamond (Doctorate-Level Science & Math)

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

50.4%vs35.8%
MMLU-Pro (Multi-task Language Understanding)

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

74%vs68.2%
LMSYS Chatbot Arena Elo

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

1262ptsvs1210pts
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

30 tok/s vs35 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 3 Opus1.20s
GPT-41.20s
Est. End-to-End Response (500 tokens)TTFT + generation time
Claude 3 Opus17.87s
GPT-415.49s

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 3 Opus Monthly API Bill
$92.25 / month
$15/1M in · $75/1M out
GPT-4 Monthly API Bill
$110.25 / month
$30/1M in · $60/1M out
Claude 3 Opus saves approximately $18.00 / month (16%) under this workload.1.2x Savings

Claude 3 Opus · Strengths & Key Advantages

  • 提供 200K 上下文窗口与最高 4K 输出容量，核心基准表现优异（SWE-bench Verified 32.2% · GPQA Diamond 50.4%）
  • 高达 30 Token/秒的生成吞吐量，首字延迟 (TTFT) 仅约 1200 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

GPT-4 · Strengths & Key Advantages

  • 提供 8K 上下文窗口与最高 4K 输出容量，核心基准表现优异（SWE-bench Verified 21% · GPQA Diamond 35.8%）
  • 高达 35 Token/秒的生成吞吐量，首字延迟 (TTFT) 仅约 1200 毫秒
  • 极具竞争力的 API 定价（每百万 Token $30 输入 / $60 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

Token Use & Task Economics

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

MetricClaude 3 OpusGPT-4
Cost per Task
Estimated USD to finish one task
$0.20$0.20
Output Tokens / Task
Tokens generated per task
24K24K
Reasoning Tokens / Task
Thinking tokens burned per task
0K0K

技术规格参数

Architecture, release timeline, capabilities, and modalities.

FeatureClaude 3 OpusGPT-4
Official API Model ID (SDK)claude-3-opus-20240301gpt-4
API ProtocolAnthropic Messages API + AWS Bedrock + Vertex AIOpenAI Responses API & Chat Completions v1
Release Date2024-032023-03
Knowledge CutoffAugust 2023September 2021
ArchitectureFrontier Dense Multimodal TransformerMixture-of-Experts (MoE)
ParametersConfidentialConfidential (est. 1.8T MoE)
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 ($30/1M in) across full 8K window
Prompt Cache Policy & TTL$1.5/1M cached read (90% off); 5-min default & 1-hour extended TTLAutomatic prefix caching at $7.5/1M (no extra cache-write fee)
Computer Use / GUI AgentSupported (Screen coordinate grounding, browser & desktop GUI action loops)API / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop)
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 ConnectorsNative Web Search tool + Hosted Code Interpreter & File Search RAG
Official Fine-Tuning SupportCustom Model Tuning via Amazon Bedrock & Prompt DistillationSupervised Fine-Tuning (SFT), Direct Preference (DPO) & Reinforcement Fine-Tuning (RFT)
Multimodal Token BillingText BPE (~4 chars/token) · Vision (~258–765 tokens per image tile)Text BPE (~4 chars/token)
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 EvaluatedOpenAI Preparedness Framework Audited & System Card Published
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
Output Modalitiestexttext

Claude 3 Opus vs GPT-4: 常见问题解答 (FAQ)

Which is more intelligent, Claude 3 Opus or GPT-4?

Claude 3 Opus is more intelligent. It scores 44 compared with 38 on the composite Intelligence Index.

Which model is faster?

GPT-4 is faster, generating 35 tokens per second compared with 30 tokens per second.

Which model is cheaper to run?

Claude 3 Opus is cheaper at $11.55 per 1M tokens blended, compared with $17.25 (7:2:1 cache:input:output ratio).

Which model has a larger context window?

Claude 3 Opus has a larger context window, supporting 200K tokens compared with 8.2K tokens.

综合结论

综合来看，Claude 3 Opus（适合：面向企业级对话与通用文本生成任务的高可靠性经典任务、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 GPT-4（适合：面向企业级对话与通用文本生成任务的高可靠性经典任务、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：Claude 3 Opus 在综合智能与编程基准测试中表现更强，GPT-4 拥有更快的 Token 生成速度，而 Claude 3 Opus 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 3 Opus 和 GPT-4 哪个更强？+

在综合智能指数与编程基准评测中，Claude 3 Opus 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 3 Opus 与 GPT-4 的 API 价格哪个更便宜？+

Claude 3 Opus 的 API 价格为输入 $15.00 / 输出 $75.00（每百万 Token），GPT-4 为输入 $30.00 / 输出 $60.00。综合混合成本来看，Claude 3 Opus 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 3 Opus 支持 200K Token 上下文窗口，而 GPT-4 支持 8.2K Token。在流式生成速度方面，GPT-4 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 OpenAI 官方 API 文档、模型发布说明及独立基准测试报告 (2026)。