GPT Image 2 vs Nano Banana 2
Benchmarks, API Token Pricing, Context Window & Speed Comparison
Related topics (12)
GPT Image 2 da OpenAI e Nano Banana 2 da Google são dois modelos de IA de destaque. O GPT Image 2 oferece uma janela de contexto de 4.1K tokens a $5.00/$40.00 por milhão de tokens, enquanto o Nano Banana 2 oferece 131.1K tokens de contexto a $3.00/$30.00 por milhão de tokens. Veja abaixo a comparação completa de benchmarks, latência e custos.
Troque e Compare Qualquer Modelo
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GPT Image 2
Geração de Imagens por IAO GPT Image 2 da OpenAI é um modelo de IA projetado para geração de imagens em alta resolução, design visual e tipografia precisa, oferecendo janela de contexto de 4K, velocidade de 21 tokens/s, índice de inteligência de 59/100 e tarifa de
$5.00 / 1M
$40.00 / 1M
4.1K tokens
68.5%
Nano Banana 2
Geração de Imagens por IAO Nano Banana 2 da Google é um modelo de IA projetado para geração de imagens em alta resolução, design visual e tipografia precisa, oferecendo janela de contexto de 131K, velocidade de 65 tokens/s, índice de inteligência de 88/100 e tarifa
$3.00 / 1M
$30.00 / 1M
131.1K tokens
N/A
Principais Diferenças em Resumo
- 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.
| Feature | GPT Image 2 | Nano Banana 2 |
|---|---|---|
Intelligence Index Composite reasoning & knowledge score (0-100) | 59 | 88 |
Provider | OpenAI | |
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 |
Quem vence em cada categoria?
At-a-glance decision frameworkEvaluations ongoing
Pontuações de Benchmarks Verificadas
Official evaluation metrics verified by independent third-party research labs.
Industry benchmark evaluating real-world GitHub issue resolution and multi-file debugging.
Challenging questions created by domain experts to test complex PhD-level reasoning.
Hardened reasoning and academic knowledge benchmark with reduced lucky-guess probability.
Crowdsourced human preference evaluation based on blind, head-to-head model battles.
Extremely difficult, closed-ended questions spanning the frontier of human expert knowledge.
Autonomous multi-step tasks executed inside a real command-line terminal environment.
Research-grade coding problems drawn from real scientific and numerical workloads.
Contamination-free competitive programming problems collected continuously over time.
American Invitational Mathematics Examination — multi-step Olympiad-level reasoning.
Accuracy when reasoning over very large inputs that fill the model context window.
Tokens emitted per second during active generation streaming.
Latência e Tempo de Resposta
Time to first token (TTFT) and estimated end-to-end response time for a typical 500-token response.
Simulador Interativo de Custo de Tokens
Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.
GPT Image 2 · Strengths & Key Advantages
- Janela de contexto de 4K com limite máximo de saída de 4K tokens (SWE-bench Verified 68.5% · GPQA Diamond 72.5%)
- Taxa de transferência rápida de 21 tokens/segundo com latência inicial (TTFT) de 6200 ms
- Economia de API competitiva ($5/$40 por 1M de tokens) com suporte a cache de prompts e saídas JSON estruturadas
Considerations & Trade-offs
- Modelo proprietário em nuvem; não permite download dos pesos para execução local offline
- Para alto volume de requisições, recomenda-se ativar o cache de prompts e a Batch API para reduzir custos
Nano Banana 2 · Strengths & Key Advantages
- Janela de contexto de 131K com limite máximo de saída de 16K tokens (Arena Elo 1455)
- Taxa de transferência rápida de 65 tokens/segundo com latência inicial (TTFT) de 950 ms
- Economia de API competitiva ($3/$30 por 1M de tokens) com suporte a cache de prompts e saídas JSON estruturadas
Considerations & Trade-offs
- Modelo proprietário em nuvem; não permite download dos pesos para execução local offline
- Para alto volume de requisições, recomenda-se ativar o cache de prompts e a Batch API para reduzir custos
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 |
Especificações Técnicas
Architecture, release timeline, capabilities, and modalities.
| Feature | 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: Respostas 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.
Veredito
Tanto GPT Image 2 (Indicado para geração de imagens em alta resolução, design visual e tipografia precisa, arquiteturas RAG corporativas e integração escalável via API.) quanto Nano Banana 2 (Indicado para geração de imagens em alta resolução, design visual e tipografia precisa, arquiteturas RAG corporativas e integração escalável via API.) entregam excelente desempenho: Nano Banana 2 lidera em inteligência geral e programação, Nano Banana 2 oferece geração mais rápida e Nano Banana 2 apresenta o melhor custo-benefício em produção.
Perguntas Frequentes (FAQ)
Qual é melhor para programação e raciocínio, GPT Image 2 ou Nano Banana 2?+
Nas avaliações de inteligência e código, Nano Banana 2 leva vantagem. Confira os gráficos SWE-bench e GPQA acima para detalhes.
Qual modelo tem a API mais barata, GPT Image 2 ou Nano Banana 2?+
O GPT Image 2 custa $5.00 / $40.00 por 1M de tokens (entrada/saída) e o Nano Banana 2 custa $3.00 / $30.00. No custo combinado, Nano Banana 2 é mais econômico.
Qual modelo possui maior janela de contexto e velocidade?+
O GPT Image 2 suporta 4.1K tokens de contexto contra 131.1K tokens do Nano Banana 2, enquanto Nano Banana 2 entrega maior velocidade de geração.
Understand key metrics like context window, token pricing, reasoning mode, and SWE-bench scores in our comprehensive AI glossary.
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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.
Fontes oficiais: Documentação oficial de API da OpenAI e Google e benchmarks independentes (2026).