Imagen 3 vs GPT Image 1
Benchmarks, API Token Pricing, Context Window & Speed Comparison
Related topics (12)
Imagen 3 da Google e GPT Image 1 da OpenAI são dois modelos de IA de destaque. O Imagen 3 oferece uma janela de contexto de 1K tokens a $30.00/$0.00 por milhão de tokens, enquanto o GPT Image 1 oferece 4.1K tokens de contexto a $5.00/$40.00 por milhão de tokens. Veja abaixo a comparação completa de benchmarks, latência e custos.
Troque e Compare Qualquer Modelo
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Imagen 3
Geração de Imagens por IAO Imagen 3 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 1K, velocidade de 20 tokens/s, índice de inteligência de 72/100 e tarifa de $30
$30.00 / 1M
$0.00 / 1M
1K tokens
N/A
GPT Image 1
Geração de Imagens por IAO GPT Image 1 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 14 tokens/s, índice de inteligência de 41/100 e tarifa de
$5.00 / 1M
$40.00 / 1M
4.1K tokens
38.8%
Principais Diferenças em Resumo
- GPT Image 1 is 1.0x cheaper for API usage (input + output tokens combined).
- GPT Image 1 has a larger context window (4K vs 1K tokens).
- Imagen 3 is faster at 20 tok/s vs 14 tok/s.
| Feature | Imagen 3 | GPT Image 1 |
|---|---|---|
Intelligence Index Composite reasoning & knowledge score (0-100) | 72 | 41 |
Provider | OpenAI | |
Input Price Cost per million input tokens | $30.00 / 1M | $5.00 / 1M |
Output Price Cost per million output tokens | $0.00 / 1M | $40.00 / 1M |
Blended Price Weighted 7:2:1 cache:input:output per 1M | $6.00 / 1M | $5.00 / 1M |
Context Window Maximum input + output tokens | 1K tokens~2 A4 pages of text | 4.1K tokens~6 A4 pages of text |
Max Output Tokens Per single request | 4K | 4K |
Throughput Speed Tokens generated per second | 20 tok/s | 14 tok/s |
SWE-bench Verified Real-world software engineering | N/A | 38.8% |
GPQA Diamond Graduate-level reasoning | N/A | 53.6% |
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.
Imagen 3 · Strengths & Key Advantages
- Janela de contexto de 1K com limite máximo de saída de 4K tokens (Arena Elo 1310)
- Taxa de transferência rápida de 20 tokens/segundo com latência inicial (TTFT) de 2500 ms
- Economia de API competitiva ($30/$0 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
GPT Image 1 · Strengths & Key Advantages
- Janela de contexto de 4K com limite máximo de saída de 4K tokens (SWE-bench Verified 38.8% · GPQA Diamond 53.6%)
- Taxa de transferência rápida de 14 tokens/segundo com latência inicial (TTFT) de 8200 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
Token Use & Task Economics
Estimated cost and token consumption to complete one representative agentic task.
| Metric | Imagen 3 | GPT Image 1 |
|---|---|---|
Cost per Task Estimated USD to finish one task | $0.03 | $0.32 |
Output Tokens / Task Tokens generated per task | 0K | 8K |
Reasoning Tokens / Task Thinking tokens burned per task | 0K | 0K |
Especificações Técnicas
Architecture, release timeline, capabilities, and modalities.
| Feature | Imagen 3 | GPT Image 1 |
|---|---|---|
| Official API Model ID (SDK) | models/imagen-3 | gpt-image-1 |
| API Protocol | Google Gemini API (generateContent) + OpenAI-Compatible SDK | OpenAI Responses API & Chat Completions v1 |
| Release Date | 2024-08 | 2025-04 |
| Knowledge Cutoff | July 2024 | April 2025 |
| Architecture | Latent text-to-image diffusion transformer | Native multimodal image generation 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 ($30/1M in) across full 1K window | Flat rate ($5/1M in) across full 4K window |
| Prompt Cache Policy & TTL | Implicit + Explicit Context Caching at $0/1M with configurable TTL | Automatic prefix caching at $0/1M (no extra cache-write fee) |
| Computer Use / GUI Agent | Text-only completion (No GUI action loop) | Supported (Screen coordinate grounding, browser & desktop GUI action loops) |
| MCP & Parallel Tool Calling | Prompt-based JSON extraction only | Prompt-based JSON extraction only |
| Web Search Grounding & Sandbox | Built-in Google Search Grounding + Managed Python Code Execution Sandbox | Native Web Search tool + Hosted Code Interpreter & File Search RAG |
| Official Fine-Tuning Support | Vertex AI Supervised Adapter Tuning & Context Distillation | Supervised Fine-Tuning (SFT), Direct Preference (DPO) & Reinforcement Fine-Tuning (RFT) |
| Multimodal Token Billing | Text BPE (~4 chars/token) | 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 | OpenAI Preparedness Framework Audited & System Card Published |
| 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 | text, vision |
| Output Modalities | image | image |
Imagen 3 vs GPT Image 1: Respostas Rápidas (FAQ)
Which is more intelligent, Imagen 3 or GPT Image 1?
Imagen 3 is more intelligent. It scores 72 compared with 41 on the composite Intelligence Index.
Which model is faster?
Imagen 3 is faster, generating 20 tokens per second compared with 14 tokens per second.
Which model is cheaper to run?
GPT Image 1 is cheaper at $5.00 per 1M tokens blended, compared with $6.00 (7:2:1 cache:input:output ratio).
Which model has lower latency?
Imagen 3 has lower latency, with a time to first token of 2.50s compared with 8.20s.
Which model has a larger context window?
GPT Image 1 has a larger context window, supporting 4.1K tokens compared with 1K tokens.
Veredito
Tanto Imagen 3 (Indicado para geração de imagens em alta resolução, design visual e tipografia precisa, arquiteturas RAG corporativas e integração escalável via API.) quanto GPT Image 1 (Indicado para geração de imagens em alta resolução, design visual e tipografia precisa, arquiteturas RAG corporativas e integração escalável via API.) entregam excelente desempenho: Imagen 3 lidera em inteligência geral e programação, Imagen 3 oferece geração mais rápida e GPT Image 1 apresenta o melhor custo-benefício em produção.
Perguntas Frequentes (FAQ)
Qual é melhor para programação e raciocínio, Imagen 3 ou GPT Image 1?+
Nas avaliações de inteligência e código, Imagen 3 leva vantagem. Confira os gráficos SWE-bench e GPQA acima para detalhes.
Qual modelo tem a API mais barata, Imagen 3 ou GPT Image 1?+
O Imagen 3 custa $30.00 / $0.00 por 1M de tokens (entrada/saída) e o GPT Image 1 custa $5.00 / $40.00. No custo combinado, GPT Image 1 é mais econômico.
Qual modelo possui maior janela de contexto e velocidade?+
O Imagen 3 suporta 1K tokens de contexto contra 4.1K tokens do GPT Image 1, enquanto Imagen 3 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 Google e OpenAI e benchmarks independentes (2026).