Head-to-Head Model Comparison

GPT Image 2 vs Nano Banana 2

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Revisado por el equipo de investigación de GetInfoUsÚltima revisión: October 2026Política editorial

Cambia y Compara Cualquier Modelo

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

GPT Image 2Profile

Nano Banana 2Profile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

OpenAI

GPT Image 2

Generación de Imágenes IA

GPT Image 2 de OpenAI es un modelo de IA diseñado para generación de imágenes de alta resolución, diseño visual y tipografía precisa, con ventana de contexto de 4K, velocidad de 21 tokens/s, índice de inteligencia de 59/100 y tarifa de $5/$

Intelligence Index59 / 100

Input Token:

$5.00 / 1M

Output Token:

$40.00 / 1M

Context Window:

4.1K tokens

SWE-bench Verified:

68.5%

Google

Nano Banana 2

Generación de Imágenes IA

Nano Banana 2 de Google es un modelo de IA diseñado para generación de imágenes de alta resolución, diseño visual y tipografía precisa, con ventana de contexto de 131K, velocidad de 65 tokens/s, índice de inteligencia de 88/100 y tarifa de

Intelligence Index88 / 100

Input Token:

$3.00 / 1M

Output Token:

$30.00 / 1M

Context Window:

131.1K tokens

SWE-bench Verified:

N/A

Diferencias Clave de un Vistazo

Nano Banana 2 is 1.3x cheaper for API usage (input + output tokens combined).
Nano Banana 2 has a larger context window (131K vs 4K tokens).
Nano Banana 2 is faster at 65 tok/s vs 21 tok/s.

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

Característica	GPT Image 2	Nano Banana 2
Intelligence Index Composite reasoning & knowledge score (0-100)	59	88
Provider	OpenAI	Google
Input Price Cost per million input tokens	$5.00 / 1M	$3.00 / 1M
Output Price Cost per million output tokens	$40.00 / 1M	$30.00 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$5.00 / 1M	$4.13 / 1M
Context Window Maximum input + output tokens	4.1K tokens~6 A4 pages of text	131.1K tokens~197 A4 pages of text
Max Output Tokens Per single request	4K	16K
Throughput Speed Tokens generated per second	21 tok/s	65 tok/s
SWE-bench Verified Real-world software engineering	68.5%	N/A
GPQA Diamond Graduate-level reasoning	72.5%	N/A
Cached Input Price Prompt caching discount per 1M tokens	$0.00 / 1M	$0.75 / 1M

¿Quién gana en cada área?

At-a-glance decision framework

Código

Evaluations ongoing

Costo

Nano Banana 2

1.3x cheaper monthly runtime

Velocidad

Nano Banana 2

+210% faster generation

Contexto

Nano Banana 2

131.1K tokens window

Puntuaciones de Benchmarks Verificadas

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

GPT Image 2Nano Banana 2

SWE-bench Verified (Autonomous Coding)

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

68.5%vsN/A

GPQA Diamond (Doctorate-Level Science & Math)

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

72.5%vsN/A

MMLU-Pro (Multi-task Language Understanding)

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

84.8%vsN/A

LMSYS Chatbot Arena Elo

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

1375ptsvs1455pts

Humanity's Last Exam (Frontier Expert Knowledge)

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

12.2%vsN/A

Terminal-Bench (Agentic Coding & Terminal Use)

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

41.5%vsN/A

SciCode (Scientific Computing)

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

40%vsN/A

LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

67%vsN/A

AIME (Advanced Math Competition)

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

89.6%vsN/A

Long-Context Reasoning

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

78%vsN/A

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

21 tok/s vs65 tok/s

Latencia y Tiempo de Respuesta

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 26.20s

Nano Banana 20.95s

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

GPT Image 230.01s

Nano Banana 28.64s

Simulador Interactivo de Costos de Tokens

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)

GPT Image 2 Monthly API Bill

$43.50 / month

$5/1M in · $40/1M out

Nano Banana 2 Monthly API Bill

$32.63 / month

$3/1M in · $30/1M out

Nano Banana 2 saves approximately $10.88 / month (25%) under this workload.1.3x Savings

GPT Image 2 · Strengths & Key Advantages

Ventana de contexto de 4K con hasta 4K tokens de salida máxima (SWE-bench Verified 68.5% · GPQA Diamond 72.5%)
Rendimiento ágil de 21 tokens/segundo con latencia inicial (TTFT) de solo 6200 ms
Economía de API competitiva ($5/$40 por 1M de tokens) con soporte para caché de prompts y salidas JSON estructuradas

Considerations & Trade-offs

Modelo propietario en la nube; no permite descargar los pesos para ejecución local sin conexión
En volúmenes masivos de tokens, se recomienda activar el caché de prompts y Batch API para optimizar costos

Nano Banana 2 · Strengths & Key Advantages

Ventana de contexto de 131K con hasta 16K tokens de salida máxima (Arena Elo 1455)
Rendimiento ágil de 65 tokens/segundo con latencia inicial (TTFT) de solo 950 ms
Economía de API competitiva ($3/$30 por 1M de tokens) con soporte para caché de prompts y salidas JSON estructuradas

Considerations & Trade-offs

Modelo propietario en la nube; no permite descargar los pesos para ejecución local sin conexión
En volúmenes masivos de tokens, se recomienda activar el caché de prompts y Batch API para optimizar costos

Token Use & Task Economics

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

Metric	GPT Image 2	Nano Banana 2
Cost per Task Estimated USD to finish one task	$0.36	$0.04
Output Tokens / Task Tokens generated per task	9K	3K
Reasoning Tokens / Task Thinking tokens burned per task	0K	1K

Especificaciones Técnicas

Architecture, release timeline, capabilities, and modalities.

Característica	GPT Image 2	Nano Banana 2
Official API Model ID (SDK)	gpt-image-2	models/nano-banana-2
API Protocol	OpenAI Responses API & Chat Completions v1	Google Gemini API (generateContent) + OpenAI-Compatible SDK
Release Date	2026-04	2026-05
Knowledge Cutoff	March 2026	February 2026
Architecture	Frontier native multimodal image transformer	Frontier conversational multimodal image engine
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 ($5/1M in) across full 4K window	Flat rate ($3/1M in) across full 131K window
Prompt Cache Policy & TTL	Automatic prefix caching at $0/1M (no extra cache-write fee)	Implicit + Explicit Context Caching at $0.75/1M 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	Prompt-based JSON extraction only	Native MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema
Web Search Grounding & Sandbox	Native Web Search tool + Hosted Code Interpreter & File Search RAG	Built-in Google Search Grounding + Managed Python Code Execution Sandbox
Official Fine-Tuning Support	Supervised Fine-Tuning (SFT), Direct Preference (DPO) & Reinforcement Fine-Tuning (RFT)	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	OpenAI Preparedness Framework Audited & System Card Published	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

GPT Image 2 vs Nano Banana 2: Respuestas Rápidas (FAQ)

Which is more intelligent, GPT Image 2 or Nano Banana 2?

Nano Banana 2 is more intelligent. It scores 88 compared with 59 on the composite Intelligence Index.

Which model is faster?

Nano Banana 2 is faster, generating 65 tokens per second compared with 21 tokens per second.

Which model is cheaper to run?

Nano Banana 2 is cheaper at $4.13 per 1M tokens blended, compared with $5.00 (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 6.20s.

Which model has a larger context window?

Nano Banana 2 has a larger context window, supporting 131.1K tokens compared with 4.1K tokens.

Veredicto

Tanto GPT Image 2 (Ideal para generación de imágenes de alta resolución, diseño visual y tipografía precisa, sistemas RAG empresariales y automatización mediante API.) como Nano Banana 2 (Ideal para generación de imágenes de alta resolución, diseño visual y tipografía precisa, sistemas RAG empresariales y automatización mediante API.) destacan en producción: Nano Banana 2 lidera en inteligencia general y programación, Nano Banana 2 ofrece mayor velocidad de generación de tokens y Nano Banana 2 resulta más rentable para cargas de trabajo API de alto volumen.

Preguntas frecuentes

¿Cuál es mejor para programación y razonamiento, GPT Image 2 o Nano Banana 2?+

En las pruebas de inteligencia compuesta y resolución de código, Nano Banana 2 obtiene la ventaja. Puedes revisar la tabla SWE-bench y GPQA arriba para comparar cada métrica.

¿Cuánto cuesta la API de GPT Image 2 frente a Nano Banana 2?+

GPT Image 2 cuesta $5.00 / $40.00 por millón de tokens de entrada/salida, mientras que Nano Banana 2 cuesta $3.00 / $30.00. En costo combinado, Nano Banana 2 es la opción más económica.

¿Qué modelo tiene mayor ventana de contexto y menor latencia?+

GPT Image 2 cuenta con 4.1K tokens de contexto frente a 131.1K tokens de Nano Banana 2. En velocidad de inferencia, Nano Banana 2 ofrece un rendimiento superior.

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)

GPT Image 2 vs Nano Banana 2

Cambia y Compara Cualquier Modelo

GPT Image 2

Nano Banana 2

¿Quién gana en cada área?

Puntuaciones de Benchmarks Verificadas

Latencia y Tiempo de Respuesta

Simulador Interactivo de Costos de Tokens

GPT Image 2 · Strengths & Key Advantages

Considerations & Trade-offs

Nano Banana 2 · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Especificaciones Técnicas

GPT Image 2 vs Nano Banana 2: Respuestas Rápidas (FAQ)

Veredicto

Preguntas frecuentes

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