GPT-4 vs GPT-3
Benchmarks, API Token Pricing, Context Window & Speed Comparison
Related topics (12)
OpenAI 的 GPT-4 与 OpenAI 的 GPT-3 是当前备受关注的两款主力 AI 模型。GPT-4 提供 8.2K Token 上下文窗口，API 定价为每百万 Token 输入 $30.00 / 输出 $60.00；而 GPT-3 提供 2K Token 上下文窗口，定价为每百万 Token 输入 $20.00 / 输出 $20.00。以下为两者的基准测试、延迟与成本全面对比。
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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）。
$30.00 / 1M
$60.00 / 1M
8.2K tokens
21%
GPT-3
经典世代基础模型OpenAI 推出的 GPT-3 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 2K 上下文窗口、40 Token/秒生成速度与 22/100 综合智能指数（每百万 Token $20 输入 / $20 输出）。
$20.00 / 1M
$20.00 / 1M
2K tokens
N/A
核心差异一览
- GPT-3 is 2.0x cheaper for API usage (input + output tokens combined).
- GPT-4 has a larger context window (8K vs 2K tokens).
- GPT-3 is faster at 40 tok/s vs 35 tok/s.
| Feature | GPT-4 | GPT-3 |
|---|---|---|
Intelligence Index Composite reasoning & knowledge score (0-100) | 38 | 22 |
Provider | OpenAI | OpenAI |
Input Price Cost per million input tokens | $30.00 / 1M | $20.00 / 1M |
Output Price Cost per million output tokens | $60.00 / 1M | $20.00 / 1M |
Blended Price Weighted 7:2:1 cache:input:output per 1M | $17.25 / 1M | $9.50 / 1M |
Context Window Maximum input + output tokens | 8.2K tokens~12 A4 pages of text | 2K tokens~3 A4 pages of text |
Max Output Tokens Per single request | 4K | 2K |
Throughput Speed Tokens generated per second | 35 tok/s | 40 tok/s |
SWE-bench Verified Real-world software engineering | 21% | N/A |
GPQA Diamond Graduate-level reasoning | 35.8% | N/A |
Cached Input Price Prompt caching discount per 1M tokens | $7.50 / 1M | $5.00 / 1M |
各项指标谁更胜一筹？
At-a-glance decision frameworkEvaluations ongoing
权威基准测试得分对比
Official evaluation metrics verified by independent third-party research labs.
Industry benchmark evaluating real-world GitHub issue resolution and multi-file debugging.
Challenging questions created by domain experts to test complex PhD-level reasoning.
Hardened reasoning and academic knowledge benchmark with reduced lucky-guess probability.
Crowdsourced human preference evaluation based on blind, head-to-head model battles.
Tokens emitted per second during active generation streaming.
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.
实时 Token 成本模拟器
Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.
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
GPT-3 · Strengths & Key Advantages
- 提供 2K 上下文窗口与最高 2K 输出容量，核心基准表现优异（MMLU-Pro 43.9% · Arena Elo 980）
- 高达 40 Token/秒的生成吞吐量，首字延迟 (TTFT) 仅约 900 毫秒
- 极具竞争力的 API 定价（每百万 Token $20 输入 / $20 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.
| Metric | GPT-4 | GPT-3 |
|---|---|---|
Cost per Task Estimated USD to finish one task | $0.20 | $0.20 |
Output Tokens / Task Tokens generated per task | 24K | 24K |
Reasoning Tokens / Task Thinking tokens burned per task | 0K | 0K |
技术规格参数
Architecture, release timeline, capabilities, and modalities.
| Feature | GPT-4 | GPT-3 |
|---|---|---|
| Official API Model ID (SDK) | gpt-4 | gpt-3 |
| API Protocol | OpenAI Responses API & Chat Completions v1 | OpenAI Responses API & Chat Completions v1 |
| Release Date | 2023-03 | 2020-06 |
| Knowledge Cutoff | September 2021 | June 2020 |
| Architecture | Mixture-of-Experts (MoE) | Autoregressive Transformer (Davinci) |
| Parameters | Confidential (est. 1.8T MoE) | 175B |
| Enterprise Rate Limits (RPM / TPM) | 10,000 – 30,000 RPM (Tier 5 Enterprise) · 800,000 – 2,000,000 TPM | 10,000 – 30,000 RPM (Tier 5 Enterprise) · 800,000 – 2,000,000 TPM |
| Long-Context Tier (>128K/200K) | Flat rate ($30/1M in) across full 8K window | Flat rate ($20/1M in) across full 2K window |
| Prompt Cache Policy & TTL | Automatic prefix caching at $7.5/1M (no extra cache-write fee) | Automatic prefix caching at $5/1M (no extra cache-write fee) |
| Computer Use / GUI Agent | API / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop) | Text-only completion (No GUI action loop) |
| MCP & Parallel Tool Calling | Native MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema | Prompt-based JSON extraction only |
| Web Search Grounding & Sandbox | Native Web Search tool + Hosted Code Interpreter & File Search RAG | Native Web Search tool + Hosted Code Interpreter & File Search RAG |
| Official Fine-Tuning Support | Supervised Fine-Tuning (SFT), Direct Preference (DPO) & Reinforcement Fine-Tuning (RFT) | Supervised Fine-Tuning (SFT), Direct Preference (DPO) & Reinforcement Fine-Tuning (RFT) |
| Multimodal Token Billing | Text BPE (~4 chars/token) | Text BPE (~4 chars/token) |
| Quantization & Min GPU VRAM | Cloud-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 Classification | OpenAI Preparedness Framework Audited & System Card Published | OpenAI Preparedness Framework Audited & System Card Published |
| Enterprise Compliance (ZDR/HIPAA/SOC2) | SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier | SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier |
| Input Modalities | text | text |
| Output Modalities | text | text |
GPT-4 vs GPT-3: 常见问题解答 (FAQ)
Which is more intelligent, GPT-4 or GPT-3?
GPT-4 is more intelligent. It scores 38 compared with 22 on the composite Intelligence Index.
Which model is faster?
GPT-3 is faster, generating 40 tokens per second compared with 35 tokens per second.
Which model is cheaper to run?
GPT-3 is cheaper at $9.50 per 1M tokens blended, compared with $17.25 (7:2:1 cache:input:output ratio).
Which model has lower latency?
GPT-3 has lower latency, with a time to first token of 0.90s compared with 1.20s.
Which model has a larger context window?
GPT-4 has a larger context window, supporting 8.2K tokens compared with 2K tokens.
综合结论
综合来看，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。）与 GPT-3（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：GPT-4 在综合智能与编程基准测试中表现更强，GPT-3 拥有更快的 Token 生成速度，而 GPT-3 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，GPT-4 和 GPT-3 哪个更强？+
在综合智能指数与编程基准评测中，GPT-4 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。
GPT-4 与 GPT-3 的 API 价格哪个更便宜？+
GPT-4 的 API 价格为输入 $30.00 / 输出 $60.00（每百万 Token），GPT-3 为输入 $20.00 / 输出 $20.00。综合混合成本来看，GPT-3 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？+
GPT-4 支持 8.2K Token 上下文窗口，而 GPT-3 支持 2K Token。在流式生成速度方面，GPT-3 的吞吐表现更快。
Understand key metrics like context window, token pricing, reasoning mode, and SWE-bench scores in our comprehensive AI glossary.
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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: OpenAI 与 OpenAI 官方 API 文档、模型发布说明及独立基准测试报告 (2026)。