Imagen 4 vs Imagen 3
Benchmarks, API Token Pricing, Context Window & Speed Comparison
Related topics (12)
Google 的 Imagen 4 与 Google 的 Imagen 3 是当前备受关注的两款主力 AI 模型。Imagen 4 提供 2K Token 上下文窗口，API 定价为每百万 Token 输入 $40.00 / 输出 $0.00；而 Imagen 3 提供 1K Token 上下文窗口，定价为每百万 Token 输入 $30.00 / 输出 $0.00。以下为两者的基准测试、延迟与成本全面对比。
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Imagen 4
高精度图像生成模型Google 推出的 Imagen 4 是一款专注于高分辨率视觉创作、精准文字渲染与图像生成的大模型，具备 2K 上下文窗口、25 Token/秒生成速度与 82/100 综合智能指数（每百万 Token $40 输入 / $0 输出）。
$40.00 / 1M
$0.00 / 1M
2K tokens
N/A
Imagen 3
高精度图像生成模型Google 推出的 Imagen 3 是一款专注于高分辨率视觉创作、精准文字渲染与图像生成的大模型，具备 1K 上下文窗口、20 Token/秒生成速度与 72/100 综合智能指数（每百万 Token $30 输入 / $0 输出）。
$30.00 / 1M
$0.00 / 1M
1K tokens
N/A
核心差异一览
- Imagen 3 is 1.3x cheaper for API usage (input + output tokens combined).
- Imagen 4 has a larger context window (2K vs 1K tokens).
- Imagen 4 is faster at 25 tok/s vs 20 tok/s.
| Feature | Imagen 4 | Imagen 3 |
|---|---|---|
Intelligence Index Composite reasoning & knowledge score (0-100) | 82 | 72 |
Provider | ||
Input Price Cost per million input tokens | $40.00 / 1M | $30.00 / 1M |
Output Price Cost per million output tokens | $0.00 / 1M | $0.00 / 1M |
Blended Price Weighted 7:2:1 cache:input:output per 1M | $8.00 / 1M | $6.00 / 1M |
Context Window Maximum input + output tokens | 2K tokens~3 A4 pages of text | 1K tokens~2 A4 pages of text |
Max Output Tokens Per single request | 4K | 4K |
Throughput Speed Tokens generated per second | 25 tok/s | 20 tok/s |
SWE-bench Verified Real-world software engineering | N/A | N/A |
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.
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.
Imagen 4 · Strengths & Key Advantages
- 提供 2K 上下文窗口与最高 4K 输出容量，核心基准表现优异（Arena Elo 1390）
- 高达 25 Token/秒的生成吞吐量，首字延迟 (TTFT) 仅约 2000 毫秒
- 极具竞争力的 API 定价（每百万 Token $40 输入 / $0 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
Imagen 3 · Strengths & Key Advantages
- 提供 1K 上下文窗口与最高 4K 输出容量，核心基准表现优异（Arena Elo 1310）
- 高达 20 Token/秒的生成吞吐量，首字延迟 (TTFT) 仅约 2500 毫秒
- 极具竞争力的 API 定价（每百万 Token $30 输入 / $0 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 | Imagen 4 | Imagen 3 |
|---|---|---|
Cost per Task Estimated USD to finish one task | $0.04 | $0.03 |
Output Tokens / Task Tokens generated per task | 0K | 0K |
Reasoning Tokens / Task Thinking tokens burned per task | 0K | 0K |
技术规格参数
Architecture, release timeline, capabilities, and modalities.
| Feature | Imagen 4 | Imagen 3 |
|---|---|---|
| Official API Model ID (SDK) | models/imagen-4 | models/imagen-3 |
| API Protocol | Google Gemini API (generateContent) + OpenAI-Compatible SDK | Google Gemini API (generateContent) + OpenAI-Compatible SDK |
| Release Date | 2025-05 | 2024-08 |
| Knowledge Cutoff | March 2025 | July 2024 |
| Architecture | High-resolution multimodal image diffusion transformer | Latent text-to-image diffusion transformer |
| Parameters | Confidential | Confidential |
| 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 ($40/1M in) across full 2K window | Flat rate ($30/1M in) across full 1K window |
| Prompt Cache Policy & TTL | Implicit + Explicit Context Caching at $0/1M with configurable TTL | Implicit + Explicit Context Caching at $0/1M with configurable TTL |
| Computer Use / GUI Agent | Text-only completion (No GUI action loop) | Text-only completion (No GUI action loop) |
| MCP & Parallel Tool Calling | Prompt-based JSON extraction only | Prompt-based JSON extraction only |
| Web Search Grounding & Sandbox | Built-in Google Search Grounding + Managed Python Code Execution Sandbox | Built-in Google Search Grounding + Managed Python Code Execution Sandbox |
| Official Fine-Tuning Support | Vertex AI Supervised Adapter Tuning & Context Distillation | Vertex AI Supervised Adapter Tuning & Context Distillation |
| 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 | Google DeepMind Frontier Safety Framework Verified | Google DeepMind Frontier Safety Framework Verified |
| 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 | image | image |
Imagen 4 vs Imagen 3: 常见问题解答 (FAQ)
Which is more intelligent, Imagen 4 or Imagen 3?
Imagen 4 is more intelligent. It scores 82 compared with 72 on the composite Intelligence Index.
Which model is faster?
Imagen 4 is faster, generating 25 tokens per second compared with 20 tokens per second.
Which model is cheaper to run?
Imagen 3 is cheaper at $6.00 per 1M tokens blended, compared with $8.00 (7:2:1 cache:input:output ratio).
Which model has lower latency?
Imagen 4 has lower latency, with a time to first token of 2.00s compared with 2.50s.
Which model has a larger context window?
Imagen 4 has a larger context window, supporting 2K tokens compared with 1K tokens.
综合结论
综合来看，Imagen 4（适合：专注于高分辨率视觉创作、精准文字渲染与图像生成的任务、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 Imagen 3（适合：专注于高分辨率视觉创作、精准文字渲染与图像生成的任务、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：Imagen 4 在综合智能与编程基准测试中表现更强，Imagen 4 拥有更快的 Token 生成速度，而 Imagen 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，Imagen 4 和 Imagen 3 哪个更强？+
在综合智能指数与编程基准评测中，Imagen 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。
Imagen 4 与 Imagen 3 的 API 价格哪个更便宜？+
Imagen 4 的 API 价格为输入 $40.00 / 输出 $0.00（每百万 Token），Imagen 3 为输入 $30.00 / 输出 $0.00。综合混合成本来看，Imagen 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？+
Imagen 4 支持 2K Token 上下文窗口，而 Imagen 3 支持 1K Token。在流式生成速度方面，Imagen 4 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: Google 与 Google 官方 API 文档、模型发布说明及独立基准测试报告 (2026)。