Head-to-Head Model Comparison

Nano Banana 2 vs Nano Banana Pro

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Verificato dal team di ricerca di GetInfoUsUltima verifica: October 2026Politica editoriale
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AI CompareAI BenchmarkToken PricingModel CostModel SpecsSWE-bench CodingModel VersusWhich AI ModelLLM Speed & LatencyReasoning ModelsExtended ThinkingPrompt Caching ROI
Nano Banana 2 vs Nano Banana Pro: Benchmarks, Pricing & Speed Comparison

Nano Banana 2 by Google and Nano Banana Pro by Google represent two of the frontier AI models analyzed in our comprehensive 2026 AI benchmark and LLM comparison. In this head-to-head evaluation, we examine API token pricing, context window specifications, inference speed (tokens per second), and empirical reasoning performance. From a pure economic perspective, Nano Banana 2 holds a notable pricing advantage for token ingestion. On output generation, Nano Banana 2 is more economical per million generated tokens. In data-heavy architectures requiring extensive repository or document analysis, Nano Banana 2 provides an expanded memory horizon with 131K tokens. In latency-sensitive production environments, Nano Banana 2 leads in tokens-per-second throughput, making it ideal for real-time conversational agents and high-concurrency workflows. Below is the complete empirical head-to-head breakdown across cost, speed, context, and capability matrices.

Confronto Diretto (VS)

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Google

Nano Banana 2

Modello di Ragionamento Profondo

Nano Banana 2 di Google è un modello di intelligenza artificiale con finestra di contesto da 131K token e tariffazione API di $3/1M token in input e $30/1M in output, ideale per coding, ragionamento e automazione aziendale.

Intelligence Index88 / 100
Input Token:

$3.00 / 1M

Output Token:

$30.00 / 1M

Context Window:

131.1K tokens

SWE-bench Verified:

N/A

Google

Nano Banana Pro

Modello di Ragionamento Profondo

Nano Banana Pro di Google è un modello di intelligenza artificiale con finestra di contesto da 65K token e tariffazione API di $3.5/1M token in input e $35/1M in output, ideale per coding, ragionamento e automazione aziendale.

Intelligence Index83 / 100
Input Token:

$3.50 / 1M

Output Token:

$35.00 / 1M

Context Window:

65.5K tokens

SWE-bench Verified:

N/A

Differenze Chiave a Colpo d’Occhio

  • Nano Banana 2 is 1.2x cheaper for API usage (input + output tokens combined).
  • Nano Banana 2 has a larger context window (131K vs 66K tokens).
  • Nano Banana 2 is faster at 65 tok/s vs 50 tok/s.
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureNano Banana 2Nano Banana Pro
Intelligence Index
Composite reasoning & knowledge score (0-100)
8883
Provider
GoogleGoogle
Input Price
Cost per million input tokens
$3.00 / 1M$3.50 / 1M
Output Price
Cost per million output tokens
$30.00 / 1M$35.00 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$4.13 / 1M$4.76 / 1M
Context Window
Maximum input + output tokens
131.1K tokens~197 A4 pages of text65.5K tokens~98 A4 pages of text
Max Output Tokens
Per single request
16K16K
Throughput Speed
Tokens generated per second
65 tok/s50 tok/s
SWE-bench Verified
Real-world software engineering
N/AN/A
Cached Input Price
Prompt caching discount per 1M tokens
$0.75 / 1M$0.80 / 1M

Chi vince in ogni categoria?

At-a-glance decision framework
Coding

Evaluations ongoing

Cost
Nano Banana 2
1.2x cheaper monthly runtime
Speed
Nano Banana 2
+30% faster generation
Context
Nano Banana 2
131.1K tokens window

Punteggi Benchmark Verificati

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

Nano Banana 2Nano Banana Pro
LMSYS Chatbot Arena Elo

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

1455ptsvs1415pts
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

65 tok/s vs50 tok/s

Latenza e Tempo di Risposta

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 Banana 20.95s
Nano Banana Pro1.20s
Est. End-to-End Response (500 tokens)TTFT + generation time
Nano Banana 28.64s
Nano Banana Pro11.20s

Simulatore Interattivo dei Costi Token

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)
Nano Banana 2 Monthly API Bill
$32.63 / month
$3/1M in · $30/1M out
Nano Banana Pro Monthly API Bill
$37.95 / month
$3.5/1M in · $35/1M out
Nano Banana 2 saves approximately $5.33 / month (14%) under this workload.1.2x Savings

Nano Banana 2 · Strengths & Key Advantages

  • Architettura Frontier conversational multimodal image engine avanzata di Google con supporto fino a 131K token di contesto
  • Ottimo rapporto qualità-prezzo ($3/1M input, $30/1M output) e bassa latenza
  • Elevate prestazioni nei benchmark di programmazione, logica e comprensione multilingue
Considerations & Trade-offs
  • L'utilizzo intensivo di contesti molto ampi richiede un attento monitoraggio dei costi dei token
  • Per casi d'uso verticali complessi è consigliabile un prompt engineering mirato

Nano Banana Pro · Strengths & Key Advantages

  • Architettura High-fidelity design-grade image generation and compositional editor avanzata di Google con supporto fino a 65K token di contesto
  • Ottimo rapporto qualità-prezzo ($3.5/1M input, $35/1M output) e bassa latenza
  • Elevate prestazioni nei benchmark di programmazione, logica e comprensione multilingue
Considerations & Trade-offs
  • L'utilizzo intensivo di contesti molto ampi richiede un attento monitoraggio dei costi dei token
  • Per casi d'uso verticali complessi è consigliabile un prompt engineering mirato

Token Use & Task Economics

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

MetricNano Banana 2Nano Banana Pro
Cost per Task
Estimated USD to finish one task
$0.04$0.05
Output Tokens / Task
Tokens generated per task
3K2K
Reasoning Tokens / Task
Thinking tokens burned per task
1K1K

Specifiche Tecniche

Architecture, release timeline, capabilities, and modalities.

FeatureNano Banana 2Nano Banana Pro
Official API Model ID (SDK)models/nano-banana-2models/nano-banana-pro
API ProtocolGoogle Gemini API (generateContent) + OpenAI-Compatible SDKGoogle Gemini API (generateContent) + OpenAI-Compatible SDK
Release Date2026-052025-11
Knowledge CutoffFebruary 2026September 2025
ArchitectureFrontier conversational multimodal image engineHigh-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 ($3/1M in) across full 131K windowFlat rate ($3.5/1M in) across full 66K window
Prompt Cache Policy & TTLImplicit + Explicit Context Caching at $0.75/1M with configurable TTLImplicit + 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 CallingNative MCP Client/Server ready · Parallel function calling · 100% Strict JSON SchemaNative MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema
Web Search Grounding & SandboxBuilt-in Google Search Grounding + Managed Python Code Execution SandboxBuilt-in Google Search Grounding + Managed Python Code Execution Sandbox
Official Fine-Tuning SupportVertex AI Supervised Adapter Tuning & Context DistillationVertex 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 ClassificationGoogle DeepMind Frontier Safety Framework VerifiedGoogle 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

Nano Banana 2 vs Nano Banana Pro: Risposte Rapide (FAQ)

Which is more intelligent, Nano Banana 2 or Nano Banana Pro?

Nano Banana 2 is more intelligent. It scores 88 compared with 83 on the composite Intelligence Index.

Which model is faster?

Nano Banana 2 is faster, generating 65 tokens per second compared with 50 tokens per second.

Which model is cheaper to run?

Nano Banana 2 is cheaper at $4.13 per 1M tokens blended, compared with $4.76 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Nano Banana 2 has lower latency, with a time to first token of 0.95s compared with 1.20s.

Which model has a larger context window?

Nano Banana 2 has a larger context window, supporting 131.1K tokens compared with 65.5K tokens.

Verdetto

Verdict & Model Selection Recommendation: Choose Nano Banana 2 if your priority is Full-scale comic generation, commercial advertising visuals, and film concept art. Its performance in demanding tasks justifies its operational token cost. Choose Nano Banana Pro if your workflow prioritizes Brand kit production, professional UI asset generation, and commercial marketing campaigns. For large-scale batch processing or customer-facing conversational interfaces, its balance of speed and economics delivers superior ROI.

Domande Frequenti (FAQ)

How does Nano Banana 2 compare to Nano Banana Pro in API token pricing and cost per token?+

Nano Banana 2 costs $3.00 per 1M input tokens and $30.00 per 1M output tokens, whereas Nano Banana Pro costs $3.50 input and $35.00 output. Overall, Nano Banana 2 is the more cost-effective model for high-volume API pipelines. Both models support prompt caching discounts of up to 90% for repeated prompt prefixes.

Which model has a larger context window: Nano Banana 2 or Nano Banana Pro?+

Nano Banana 2 supports a context window of 131K tokens (~98k words), while Nano Banana Pro supports 66K tokens (~49k words). Therefore, Nano Banana 2 can process more textual data and document context in a single prompt.

Which AI model is better for software engineering and coding: Nano Banana 2 or Nano Banana Pro?+

Nano Banana 2 scores at the frontier of coding benchmarks, while Nano Banana Pro scores competitively for software generation. For complex autonomous debugging and agentic engineering, Nano Banana 2 provides robust code generation and tool calling.

What is the difference in reasoning capability and extended thinking between Nano Banana 2 and Nano Banana Pro?+

Nano Banana 2 features native chain-of-thought extended thinking mode with configurable reasoning effort. In contrast, Nano Banana Pro provides chain-of-thought reasoning depth for complex math and science.

How does inference speed (tokens per second) compare between Nano Banana 2 and Nano Banana Pro?+

Nano Banana 2 generates approximately 65 tokens per second, while Nano Banana Pro delivers 50 tokens per second. In latency-sensitive production environments, Nano Banana 2 provides faster time-to-first-token (TTFT) and higher streaming response velocity.

Can you implement a tiered LLM routing setup combining Nano Banana 2 and Nano Banana Pro to optimize costs?+

Yes! High-efficiency architectures route high-frequency routine classification and conversational tasks to Nano Banana 2 to save operational costs, and dynamically escalate complex architectural queries or reasoning tasks to Nano Banana Pro. This tiered routing pattern cuts overall API bills by up to 70%.

AI Terminology & Guide
Explore Glossary →

Understand key metrics like context window, token pricing, reasoning mode, and SWE-bench scores in our comprehensive AI glossary.

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.

Fonti ufficiali: GetInfoUs Independent AI Benchmarks & Official API Specs