Nano Banana vs Imagen 4
Benchmarks, API Token Pricing, Context Window & Speed Comparison
Related topics (12)
Google 的 Nano Banana 与 Google 的 Imagen 4 是当前备受关注的两款主力 AI 模型。Nano Banana 提供 32.8K Token 上下文窗口，API 定价为每百万 Token 输入 $2.00 / 输出 $20.00；而 Imagen 4 提供 2K Token 上下文窗口，定价为每百万 Token 输入 $40.00 / 输出 $0.00。以下为两者的基准测试、延迟与成本全面对比。
切换并对比任意模型
Select any AI models from our verified benchmark database to generate live side-by-side matrices.
Nano Banana
高精度图像生成模型Google 推出的 Nano Banana 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 33K 上下文窗口、60 Token/秒生成速度与 75/100 综合智能指数（每百万 Token $2 输入 / $20 输出）。
$2.00 / 1M
$20.00 / 1M
32.8K tokens
N/A
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
核心差异一览
- Nano Banana is 2.8x cheaper for API usage (input + output tokens combined).
- Nano Banana has a larger context window (33K vs 2K tokens).
- Nano Banana is faster at 60 tok/s vs 25 tok/s.
| Feature | Nano Banana | Imagen 4 |
|---|---|---|
Intelligence Index Composite reasoning & knowledge score (0-100) | 75 | 82 |
Provider | ||
Input Price Cost per million input tokens | $2.00 / 1M | $40.00 / 1M |
Output Price Cost per million output tokens | $20.00 / 1M | $0.00 / 1M |
Blended Price Weighted 7:2:1 cache:input:output per 1M | $2.75 / 1M | $8.00 / 1M |
Context Window Maximum input + output tokens | 32.8K tokens~49 A4 pages of text | 2K tokens~3 A4 pages of text |
Max Output Tokens Per single request | 8K | 4K |
Throughput Speed Tokens generated per second | 60 tok/s | 25 tok/s |
SWE-bench Verified Real-world software engineering | N/A | N/A |
Cached Input Price Prompt caching discount per 1M tokens | $0.50 / 1M | $0.00 / 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.
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.
Nano Banana · Strengths & Key Advantages
- 提供 33K 上下文窗口与最高 8K 输出容量，核心基准表现优异（Arena Elo 1360）
- 高达 60 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 $2 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
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
Token Use & Task Economics
Estimated cost and token consumption to complete one representative agentic task.
| Metric | Nano Banana | Imagen 4 |
|---|---|---|
Cost per Task Estimated USD to finish one task | $0.03 | $0.04 |
Output Tokens / Task Tokens generated per task | 1K | 0K |
Reasoning Tokens / Task Thinking tokens burned per task | 0K | 0K |
技术规格参数
Architecture, release timeline, capabilities, and modalities.
| Feature | Nano Banana | Imagen 4 |
|---|---|---|
| Official API Model ID (SDK) | models/nano-banana | models/imagen-4 |
| API Protocol | Google Gemini API (generateContent) + OpenAI-Compatible SDK | Google Gemini API (generateContent) + OpenAI-Compatible SDK |
| Release Date | 2025-08 | 2025-05 |
| Knowledge Cutoff | June 2025 | March 2025 |
| Architecture | Conversational in-context image generation and editing transformer | High-resolution multimodal 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 ($2/1M in) across full 33K window | Flat rate ($40/1M in) across full 2K window |
| Prompt Cache Policy & TTL | Implicit + Explicit Context Caching at $0.5/1M with configurable TTL | Implicit + Explicit Context Caching at $0/1M with configurable TTL |
| Computer Use / GUI Agent | Supported (Screen coordinate grounding, browser & desktop GUI action loops) | 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 | 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) · Vision (~258–765 tokens per image tile) | 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, vision | text |
| Output Modalities | image | image |
Nano Banana vs Imagen 4: 常见问题解答 (FAQ)
Which is more intelligent, Nano Banana or Imagen 4?
Imagen 4 is more intelligent. It scores 82 compared with 75 on the composite Intelligence Index.
Which model is faster?
Nano Banana is faster, generating 60 tokens per second compared with 25 tokens per second.
Which model is cheaper to run?
Nano Banana is cheaper at $2.75 per 1M tokens blended, compared with $8.00 (7:2:1 cache:input:output ratio).
Which model has lower latency?
Nano Banana has lower latency, with a time to first token of 0.90s compared with 2.00s.
Which model has a larger context window?
Nano Banana has a larger context window, supporting 32.8K tokens compared with 2K tokens.
综合结论
综合来看，Nano Banana（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 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。）各具优势：Imagen 4 在综合智能与编程基准测试中表现更强，Nano Banana 拥有更快的 Token 生成速度，而 Nano Banana 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，Nano Banana 和 Imagen 4 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。
Nano Banana 与 Imagen 4 的 API 价格哪个更便宜？+
Nano Banana 的 API 价格为输入 $2.00 / 输出 $20.00（每百万 Token），Imagen 4 为输入 $40.00 / 输出 $0.00。综合混合成本来看，Nano Banana 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？+
Nano Banana 支持 32.8K Token 上下文窗口，而 Imagen 4 支持 2K Token。在流式生成速度方面，Nano Banana 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.
Related reading
- GPT Image 1 vs Imagen 4：基准测试、API 价格与速度全面对比 (2026)对比
- Imagen 4 vs Imagen 3：基准测试、API 价格与速度全面对比 (2026)对比
- Nano Banana Pro vs Nano Banana：基准测试、API 价格与速度全面对比 (2026)对比
- Nano Banana vs GPT Image 1.5：基准测试、API 价格与速度全面对比 (2026)对比
- Aion-3.0 vs Aion-Mini：基准测试、API 价格与速度全面对比 (2026)对比
- Aion-3.0 vs Gemini 3.6 Flash：基准测试、API 价格与速度全面对比 (2026)对比
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)。