Nano Banana Pro vs Nano Banana
Benchmarks, API Token Pricing, Context Window & Speed Comparison
Related topics (12)
Nano Banana Pro dari Google dan Nano Banana dari Google adalah dua model AI unggulan. Nano Banana Pro menawarkan jendela konteks 65.5K token dengan harga $3.50/$35.00 per 1 juta token, sedangkan Nano Banana menyediakan konteks 32.8K token seharga $2.00/$20.00 per 1 juta token. Berikut perbandingan lengkap benchmark, latensi, dan biayanya.
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Nano Banana Pro
Model Generasi Gambar AINano Banana Pro dari Google adalah model AI yang dirancang untuk pembuatan gambar AI resolusi tinggi, desain visual, dan perenderan tipografi akurat, menghadirkan jendela konteks 66K, kecepatan 50 token/detik, indeks kecerdasan 83/100, sert
$3.50 / 1M
$35.00 / 1M
65.5K tokens
N/A
Nano Banana
Model Generasi Gambar AINano 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
$2.00 / 1M
$20.00 / 1M
32.8K tokens
N/A
Perbedaan Utama Sekilas
- Nano Banana is 1.7x cheaper for API usage (input + output tokens combined).
- Nano Banana Pro has a larger context window (66K vs 33K tokens).
- Nano Banana is faster at 60 tok/s vs 50 tok/s.
| Feature | Nano Banana Pro | Nano Banana |
|---|---|---|
Intelligence Index Composite reasoning & knowledge score (0-100) | 83 | 75 |
Provider | ||
Input Price Cost per million input tokens | $3.50 / 1M | $2.00 / 1M |
Output Price Cost per million output tokens | $35.00 / 1M | $20.00 / 1M |
Blended Price Weighted 7:2:1 cache:input:output per 1M | $4.76 / 1M | $2.75 / 1M |
Context Window Maximum input + output tokens | 65.5K tokens~98 A4 pages of text | 32.8K tokens~49 A4 pages of text |
Max Output Tokens Per single request | 16K | 8K |
Throughput Speed Tokens generated per second | 50 tok/s | 60 tok/s |
SWE-bench Verified Real-world software engineering | N/A | N/A |
Cached Input Price Prompt caching discount per 1M tokens | $0.80 / 1M | $0.50 / 1M |
Siapa Unggul di Mana?
At-a-glance decision frameworkEvaluations ongoing
Skor Benchmark Terverifikasi
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.
Latensi & Waktu Respons
Time to first token (TTFT) and estimated end-to-end response time for a typical 500-token response.
Simulator Biaya Token Interaktif
Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.
Nano Banana Pro · Strengths & Key Advantages
- Jendela konteks 66K dengan kapasitas output maksimum hingga 16K token (Arena Elo 1415)
- Kecepatan generasi tinggi 50 token/detik dengan latensi token pertama (TTFT) hanya 1200 ms
- Skema harga API kompetitif (tarif $3.5/$35 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
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
Token Use & Task Economics
Estimated cost and token consumption to complete one representative agentic task.
| Metric | Nano Banana Pro | Nano Banana |
|---|---|---|
Cost per Task Estimated USD to finish one task | $0.05 | $0.03 |
Output Tokens / Task Tokens generated per task | 2K | 1K |
Reasoning Tokens / Task Thinking tokens burned per task | 1K | 0K |
Spesifikasi Teknis
Architecture, release timeline, capabilities, and modalities.
| Feature | Nano Banana Pro | Nano Banana |
|---|---|---|
| Official API Model ID (SDK) | models/nano-banana-pro | models/nano-banana |
| API Protocol | Google Gemini API (generateContent) + OpenAI-Compatible SDK | Google Gemini API (generateContent) + OpenAI-Compatible SDK |
| Release Date | 2025-11 | 2025-08 |
| Knowledge Cutoff | September 2025 | June 2025 |
| Architecture | High-fidelity design-grade image generation and compositional editor | Conversational in-context image generation and editing 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 ($3.5/1M in) across full 66K window | Flat rate ($2/1M in) across full 33K window |
| Prompt Cache Policy & TTL | Implicit + Explicit Context Caching at $0.8/1M with configurable TTL | Implicit + Explicit Context Caching at $0.5/1M with configurable TTL |
| Computer Use / GUI Agent | Supported (Screen coordinate grounding, browser & desktop GUI action loops) | Supported (Screen coordinate grounding, browser & desktop GUI action loops) |
| MCP & Parallel Tool Calling | Native MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema | Native MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema |
| 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) · Vision (~258–765 tokens per image tile) |
| 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, vision |
| Output Modalities | image | image |
Nano Banana Pro vs Nano Banana: Jawaban Cepat (FAQ)
Which is more intelligent, Nano Banana Pro or Nano Banana?
Nano Banana Pro is more intelligent. It scores 83 compared with 75 on the composite Intelligence Index.
Which model is faster?
Nano Banana is faster, generating 60 tokens per second compared with 50 tokens per second.
Which model is cheaper to run?
Nano Banana is cheaper at $2.75 per 1M tokens blended, compared with $4.76 (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 1.20s.
Which model has a larger context window?
Nano Banana Pro has a larger context window, supporting 65.5K tokens compared with 32.8K tokens.
Kesimpulan
Baik Nano Banana Pro (Sangat cocok untuk pembuatan gambar AI resolusi tinggi, desain visual, dan perenderan tipografi akurat, sistem RAG perusahaan, dan integrasi API skala produksi.) maupun Nano Banana (Sangat cocok untuk pembuatan gambar AI resolusi tinggi, desain visual, dan perenderan tipografi akurat, sistem RAG perusahaan, dan integrasi API skala produksi.) sangat tangguh: Nano Banana Pro 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 Pro atau Nano Banana?+
Dalam indeks kecerdasan gabungan dan benchmark coding, Nano Banana Pro memimpin. Lihat skor SWE-bench dan GPQA di atas untuk detailnya.
Berapa perbandingan harga API Nano Banana Pro vs Nano Banana?+
Nano Banana Pro mengenakan biaya $3.50 / $35.00 per 1M token input/output, sedangkan Nano Banana sebesar $2.00 / $20.00. Secara keseluruhan, Nano Banana lebih hemat biaya.
Model mana yang memiliki jendela konteks lebih besar dan kecepatan lebih tinggi?+
Nano Banana Pro mendukung konteks 65.5K token dibandingkan 32.8K token pada Nano Banana, sementara Nano Banana unggul dalam kecepatan output token per detik.
Understand key metrics like context window, token pricing, reasoning mode, and SWE-bench scores in our comprehensive AI glossary.
Related reading
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- Nano Banana vs GPT Image 1.5: Perbandingan Benchmark, Harga API & Kecepatan (2026)Bandingkan
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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.
Sumber resmi: Dokumentasi API resmi Google & Google serta evaluasi benchmark independen (2026).