Head-to-Head Model Comparison

Nano Banana vs Imagen 4

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Ditinjau oleh tim riset GetInfoUsPeninjauan terakhir: October 2026Kebijakan editorial

Ganti & Bandingkan Model Apa Saja

Select any AI models from our verified benchmark database to generate live side-by-side matrices.

Nano BananaProfile

Imagen 4Profile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

Google

Nano Banana

Model Generasi Gambar AI

Nano Banana dari Google adalah model AI yang dirancang untuk pembuatan gambar AI resolusi tinggi, desain visual, dan perenderan tipografi akurat, menghadirkan jendela konteks 33K, kecepatan 60 token/detik, indeks kecerdasan 75/100, serta ta

Intelligence Index75 / 100

Input Token:

$2.00 / 1M

Output Token:

$20.00 / 1M

Context Window:

32.8K tokens

SWE-bench Verified:

N/A

Google

Imagen 4

Model Generasi Gambar AI

Imagen 4 dari Google adalah model AI yang dirancang untuk pembuatan gambar AI resolusi tinggi, desain visual, dan perenderan tipografi akurat, menghadirkan jendela konteks 2K, kecepatan 25 token/detik, indeks kecerdasan 82/100, serta tarif

Intelligence Index82 / 100

Input Token:

$40.00 / 1M

Output Token:

$0.00 / 1M

Context Window:

2K tokens

SWE-bench Verified:

N/A

Perbedaan Utama Sekilas

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.

Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →

Feature	Nano Banana	Imagen 4
Intelligence Index Composite reasoning & knowledge score (0-100)	75	82
Provider	Google	Google
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

Siapa Unggul di Mana?

At-a-glance decision framework

Coding

Evaluations ongoing

Cost

Nano Banana

2.8x cheaper monthly runtime

Speed

Nano Banana

+140% faster generation

Context

Nano Banana

32.8K tokens window

Skor Benchmark Terverifikasi

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

Nano BananaImagen 4

LMSYS Chatbot Arena Elo

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

1360ptsvs1390pts

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

60 tok/s vs25 tok/s

Latensi & Waktu Respons

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

Nano Banana0.90s

Imagen 42.00s

Est. End-to-End Response (500 tokens)TTFT + generation time

Nano Banana9.23s

Imagen 422.00s

Simulator Biaya Token Interaktif

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

Daily Input Tokens100K / day

10K500K1M

Daily Output Tokens30K / day

5K150K300K

Prompt Cache Hit Ratio50% cached

0% (Cold)50%90% (Warm)

Nano Banana Monthly API Bill

$21.75 / month

$2/1M in · $20/1M out

Imagen 4 Monthly API Bill

$60.00 / month

$40/1M in · $0/1M out

Nano Banana saves approximately $38.25 / month (64%) under this workload.2.8x Savings

Nano Banana · Strengths & Key Advantages

Jendela konteks 33K dengan kapasitas output maksimum hingga 8K token (Arena Elo 1360)
Kecepatan generasi tinggi 60 token/detik dengan latensi token pertama (TTFT) hanya 900 ms
Skema harga API kompetitif (tarif $2/$20 per 1M token) dengan dukungan cache prompt dan output JSON terstruktur

Considerations & Trade-offs

Model cloud proprietari tertutup; bobot model tidak dapat diunduh untuk penggunaan lokal offline
Untuk trafik produksi skala besar, disarankan mengaktifkan fitur Prompt Caching dan Batch API guna menghemat biaya

Imagen 4 · Strengths & Key Advantages

Jendela konteks 2K dengan kapasitas output maksimum hingga 4K token (Arena Elo 1390)
Kecepatan generasi tinggi 25 token/detik dengan latensi token pertama (TTFT) hanya 2000 ms
Skema harga API kompetitif (tarif $40/$0 per 1M token) dengan dukungan cache prompt dan output JSON terstruktur

Considerations & Trade-offs

Model cloud proprietari tertutup; bobot model tidak dapat diunduh untuk penggunaan lokal offline
Untuk trafik produksi skala besar, disarankan mengaktifkan fitur Prompt Caching dan Batch API guna menghemat biaya

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

Spesifikasi Teknis

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: Jawaban Cepat (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.

Kesimpulan

Baik Nano Banana (Sangat cocok untuk pembuatan gambar AI resolusi tinggi, desain visual, dan perenderan tipografi akurat, sistem RAG perusahaan, dan integrasi API skala produksi.) maupun Imagen 4 (Sangat cocok untuk pembuatan gambar AI resolusi tinggi, desain visual, dan perenderan tipografi akurat, sistem RAG perusahaan, dan integrasi API skala produksi.) sangat tangguh: Imagen 4 unggul dalam penalaran dan pemrograman, Nano Banana memberikan kecepatan generasi token lebih tinggi, dan Nano Banana lebih hemat biaya untuk penggunaan API skala besar.

Pertanyaan Umum (FAQ)

Mana yang lebih baik untuk coding dan penalaran, Nano Banana atau Imagen 4?+

Dalam indeks kecerdasan gabungan dan benchmark coding, Imagen 4 memimpin. Lihat skor SWE-bench dan GPQA di atas untuk detailnya.

Berapa perbandingan harga API Nano Banana vs Imagen 4?+

Nano Banana mengenakan biaya $2.00 / $20.00 per 1M token input/output, sedangkan Imagen 4 sebesar $40.00 / $0.00. Secara keseluruhan, Nano Banana lebih hemat biaya.

Model mana yang memiliki jendela konteks lebih besar dan kecepatan lebih tinggi?+

Nano Banana mendukung konteks 32.8K token dibandingkan 2K token pada Imagen 4, sementara Nano Banana unggul dalam kecepatan output token per detik.

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 & Pricing Context Window AI Benchmarks Reasoning Models Tool Calling Model Context Protocol (MCP)

Nano Banana vs Imagen 4

Ganti & Bandingkan Model Apa Saja

Nano Banana

Imagen 4

Siapa Unggul di Mana?

Skor Benchmark Terverifikasi

Latensi & Waktu Respons

Simulator Biaya Token Interaktif

Nano Banana · Strengths & Key Advantages

Considerations & Trade-offs

Imagen 4 · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Spesifikasi Teknis

Nano Banana vs Imagen 4: Jawaban Cepat (FAQ)

Kesimpulan

Pertanyaan Umum (FAQ)

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