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Head-to-Head Model Comparison

GPT Image 1.5 vs Nano Banana Pro

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Ditinjau oleh tim riset GetInfoUsPeninjauan terakhir: October 2026Kebijakan editorial
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AI CompareAI BenchmarkToken PricingModel CostModel SpecsSWE-bench CodingModel VersusWhich AI ModelLLM Speed & LatencyReasoning ModelsExtended ThinkingPrompt Caching ROI
GPT Image 1.5 vs Nano Banana Pro: Benchmarks, Pricing & Speed Comparison

GPT Image 1.5 dari OpenAI dan Nano Banana Pro dari Google adalah dua model AI unggulan. GPT Image 1.5 menawarkan jendela konteks 4.1K token dengan harga $5.00/$40.00 per 1 juta token, sedangkan Nano Banana Pro menyediakan konteks 65.5K token seharga $3.50/$35.00 per 1 juta token. Berikut perbandingan lengkap benchmark, latensi, dan biayanya.

Perbandingan Langsung (VS)

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OpenAI

GPT Image 1.5

Model Generasi Gambar AI

GPT Image 1.5 dari OpenAI adalah model AI yang dirancang untuk pembuatan gambar AI resolusi tinggi, desain visual, dan perenderan tipografi akurat, menghadirkan jendela konteks 4K, kecepatan 17 token/detik, indeks kecerdasan 46/100, serta t

Intelligence Index46 / 100
Input Token:

$5.00 / 1M

Output Token:

$40.00 / 1M

Context Window:

4.1K tokens

SWE-bench Verified:

52%

Google

Nano Banana Pro

Model Generasi Gambar AI

Nano 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

Intelligence Index83 / 100
Input Token:

$3.50 / 1M

Output Token:

$35.00 / 1M

Context Window:

65.5K tokens

SWE-bench Verified:

N/A

Perbedaan Utama Sekilas

  • Nano Banana Pro is 1.1x cheaper for API usage (input + output tokens combined).
  • Nano Banana Pro has a larger context window (66K vs 4K tokens).
  • Nano Banana Pro is faster at 50 tok/s vs 17 tok/s.
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureGPT Image 1.5Nano Banana Pro
Intelligence Index
Composite reasoning & knowledge score (0-100)
4683
Provider
OpenAIGoogle
Input Price
Cost per million input tokens
$5.00 / 1M$3.50 / 1M
Output Price
Cost per million output tokens
$40.00 / 1M$35.00 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$5.00 / 1M$4.76 / 1M
Context Window
Maximum input + output tokens
4.1K tokens~6 A4 pages of text65.5K tokens~98 A4 pages of text
Max Output Tokens
Per single request
4K16K
Throughput Speed
Tokens generated per second
17 tok/s50 tok/s
SWE-bench Verified
Real-world software engineering
52%N/A
GPQA Diamond
Graduate-level reasoning
66%N/A
Cached Input Price
Prompt caching discount per 1M tokens
$0.00 / 1M$0.80 / 1M

Siapa Unggul di Mana?

At-a-glance decision framework
Coding

Evaluations ongoing

Cost
Nano Banana Pro
1.1x cheaper monthly runtime
Speed
Nano Banana Pro
+194% faster generation
Context
Nano Banana Pro
65.5K tokens window

Skor Benchmark Terverifikasi

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

GPT Image 1.5Nano Banana Pro
SWE-bench Verified (Autonomous Coding)

Industry benchmark evaluating real-world GitHub issue resolution and multi-file debugging.

52%vsN/A
GPQA Diamond (Doctorate-Level Science & Math)

Challenging questions created by domain experts to test complex PhD-level reasoning.

66%vsN/A
MMLU-Pro (Multi-task Language Understanding)

Hardened reasoning and academic knowledge benchmark with reduced lucky-guess probability.

78.5%vsN/A
LMSYS Chatbot Arena Elo

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

1315ptsvs1415pts
Humanity's Last Exam (Frontier Expert Knowledge)

Extremely difficult, closed-ended questions spanning the frontier of human expert knowledge.

9.2%vsN/A
Terminal-Bench (Agentic Coding & Terminal Use)

Autonomous multi-step tasks executed inside a real command-line terminal environment.

30.5%vsN/A
SciCode (Scientific Computing)

Research-grade coding problems drawn from real scientific and numerical workloads.

32%vsN/A
LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

56.5%vsN/A
AIME (Advanced Math Competition)

American Invitational Mathematics Examination — multi-step Olympiad-level reasoning.

84%vsN/A
Long-Context Reasoning

Accuracy when reasoning over very large inputs that fill the model context window.

68.5%vsN/A
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

17 tok/s vs50 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
GPT Image 1.57.10s
Nano Banana Pro1.20s
Est. End-to-End Response (500 tokens)TTFT + generation time
GPT Image 1.536.51s
Nano Banana Pro11.20s

Simulator Biaya Token Interaktif

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

100K / day
10K500K1M
30K / day
5K150K300K
50% cached
0% (Cold)50%90% (Warm)
GPT Image 1.5 Monthly API Bill
$43.50 / month
$5/1M in · $40/1M out
Nano Banana Pro Monthly API Bill
$37.95 / month
$3.5/1M in · $35/1M out
Nano Banana Pro saves approximately $5.55 / month (13%) under this workload.1.1x Savings

GPT Image 1.5 · Strengths & Key Advantages

  • Jendela konteks 4K dengan kapasitas output maksimum hingga 4K token (SWE-bench Verified 52% · GPQA Diamond 66%)
  • Kecepatan generasi tinggi 17 token/detik dengan latensi token pertama (TTFT) hanya 7100 ms
  • Skema harga API kompetitif (tarif $5/$40 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 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

Token Use & Task Economics

Estimated cost and token consumption to complete one representative agentic task.

MetricGPT Image 1.5Nano Banana Pro
Cost per Task
Estimated USD to finish one task
$0.34$0.05
Output Tokens / Task
Tokens generated per task
9K2K
Reasoning Tokens / Task
Thinking tokens burned per task
0K1K

Spesifikasi Teknis

Architecture, release timeline, capabilities, and modalities.

FeatureGPT Image 1.5Nano Banana Pro
Official API Model ID (SDK)gpt-image-1-5models/nano-banana-pro
API ProtocolOpenAI Responses API & Chat Completions v1Google Gemini API (generateContent) + OpenAI-Compatible SDK
Release Date2025-112025-11
Knowledge CutoffOctober 2025September 2025
ArchitectureNative multimodal image generation transformerHigh-fidelity design-grade image generation and compositional editor
ParametersConfidentialConfidential
Enterprise Rate Limits (RPM / TPM)10,000 – 30,000 RPM (Tier 5 Enterprise) · 800,000 – 2,000,000 TPM10,000 – 30,000 RPM (Tier 5 Enterprise) · 800,000 – 2,000,000 TPM
Long-Context Tier (>128K/200K)Flat rate ($5/1M in) across full 4K windowFlat rate ($3.5/1M in) across full 66K window
Prompt Cache Policy & TTLAutomatic prefix caching at $0/1M (no extra cache-write fee)Implicit + Explicit Context Caching at $0.8/1M with configurable TTL
Computer Use / GUI AgentSupported (Screen coordinate grounding, browser & desktop GUI action loops)Supported (Screen coordinate grounding, browser & desktop GUI action loops)
MCP & Parallel Tool CallingPrompt-based JSON extraction onlyNative MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema
Web Search Grounding & SandboxNative Web Search tool + Hosted Code Interpreter & File Search RAGBuilt-in Google Search Grounding + Managed Python Code Execution Sandbox
Official Fine-Tuning SupportSupervised Fine-Tuning (SFT), Direct Preference (DPO) & Reinforcement Fine-Tuning (RFT)Vertex AI Supervised Adapter Tuning & Context Distillation
Multimodal Token BillingText 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 VRAMCloud-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 ClassificationOpenAI Preparedness Framework Audited & System Card PublishedGoogle DeepMind Frontier Safety Framework Verified
Enterprise Compliance (ZDR/HIPAA/SOC2)SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise TierSOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier
Input Modalitiestext, visiontext, vision
Output Modalitiesimageimage

GPT Image 1.5 vs Nano Banana Pro: Jawaban Cepat (FAQ)

Which is more intelligent, GPT Image 1.5 or Nano Banana Pro?

Nano Banana Pro is more intelligent. It scores 83 compared with 46 on the composite Intelligence Index.

Which model is faster?

Nano Banana Pro is faster, generating 50 tokens per second compared with 17 tokens per second.

Which model is cheaper to run?

Nano Banana Pro is cheaper at $4.76 per 1M tokens blended, compared with $5.00 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Nano Banana Pro has lower latency, with a time to first token of 1.20s compared with 7.10s.

Which model has a larger context window?

Nano Banana Pro has a larger context window, supporting 65.5K tokens compared with 4.1K tokens.

Kesimpulan

Baik GPT Image 1.5 (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 Pro (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 Pro memberikan kecepatan generasi token lebih tinggi, dan Nano Banana Pro lebih hemat biaya untuk penggunaan API skala besar.

Pertanyaan Umum (FAQ)

Mana yang lebih baik untuk coding dan penalaran, GPT Image 1.5 atau Nano Banana Pro?+

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 GPT Image 1.5 vs Nano Banana Pro?+

GPT Image 1.5 mengenakan biaya $5.00 / $40.00 per 1M token input/output, sedangkan Nano Banana Pro sebesar $3.50 / $35.00. Secara keseluruhan, Nano Banana Pro lebih hemat biaya.

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

GPT Image 1.5 mendukung konteks 4.1K token dibandingkan 65.5K token pada Nano Banana Pro, sementara Nano Banana Pro 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 & PricingContext WindowAI BenchmarksReasoning ModelsTool CallingModel Context Protocol (MCP)

Related reading

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 OpenAI & Google serta evaluasi benchmark independen (2026).