GPT Image 1 vs Imagen 4
Benchmarks, API Token Pricing, Context Window & Speed Comparison
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GPT Image 1 by OpenAI and Imagen 4 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, GPT Image 1 holds a notable pricing advantage for token ingestion. On output generation, Imagen 4 is more economical per million generated tokens. In data-heavy architectures requiring extensive repository or document analysis, GPT Image 1 provides an expanded memory horizon with 4K tokens. In latency-sensitive production environments, Imagen 4 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.
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GPT Image 1
Modelo Flagship de FronteiraO GPT Image 1 da OpenAI é um modelo de inteligência artificial com janela de contexto de 4K tokens e preço de API de $5/1M na entrada e $40/1M na saída, projetado para programação, raciocínio e automação empresarial.
$5.00 / 1M
$40.00 / 1M
4.1K tokens
38.8%
Imagen 4
Modelo Flagship de FronteiraO Imagen 4 da Google é um modelo de inteligência artificial com janela de contexto de 2K tokens e preço de API de $40/1M na entrada e $0/1M na saída, projetado para programação, raciocínio e automação empresarial.
$40.00 / 1M
$0.00 / 1M
2K tokens
N/A
Principais Diferenças em Resumo
- GPT Image 1 is 1.4x cheaper for API usage (input + output tokens combined).
- GPT Image 1 has a larger context window (4K vs 2K tokens).
- Imagen 4 is faster at 25 tok/s vs 14 tok/s.
| Feature | GPT Image 1 | Imagen 4 |
|---|---|---|
Intelligence Index Composite reasoning & knowledge score (0-100) | 41 | 82 |
Provider | OpenAI | |
Input Price Cost per million input tokens | $5.00 / 1M | $40.00 / 1M |
Output Price Cost per million output tokens | $40.00 / 1M | $0.00 / 1M |
Blended Price Weighted 7:2:1 cache:input:output per 1M | $5.00 / 1M | $8.00 / 1M |
Context Window Maximum input + output tokens | 4.1K tokens~6 A4 pages of text | 2K tokens~3 A4 pages of text |
Max Output Tokens Per single request | 4K | 4K |
Throughput Speed Tokens generated per second | 14 tok/s | 25 tok/s |
SWE-bench Verified Real-world software engineering | 38.8% | N/A |
GPQA Diamond Graduate-level reasoning | 53.6% | N/A |
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 1 · Strengths & Key Advantages
- Arquitetura Native multimodal image generation transformer avançada da OpenAI com contexto de 4K tokens
- Excelente relação custo-benefício ($5/1M entrada, $40/1M saída) e baixa latência
- Forte desempenho em benchmarks de código, análise lógica e tarefas multilíngues
Considerations & Trade-offs
- Cargas de trabalho com contexto máximo exigem monitoramento de custos de tokens
- Requer engenharia de prompt adequada para fluxos de trabalho altamente específicos
Imagen 4 · Strengths & Key Advantages
- Arquitetura High-resolution multimodal image diffusion transformer avançada da Google com contexto de 2K tokens
- Excelente relação custo-benefício ($40/1M entrada, $0/1M saída) e baixa latência
- Forte desempenho em benchmarks de código, análise lógica e tarefas multilíngues
Considerations & Trade-offs
- Cargas de trabalho com contexto máximo exigem monitoramento de custos de tokens
- Requer engenharia de prompt adequada para fluxos de trabalho altamente específicos
Token Use & Task Economics
Estimated cost and token consumption to complete one representative agentic task.
| Metric | GPT Image 1 | Imagen 4 |
|---|---|---|
Cost per Task Estimated USD to finish one task | $0.32 | $0.04 |
Output Tokens / Task Tokens generated per task | 8K | 0K |
Reasoning Tokens / Task Thinking tokens burned per task | 0K | 0K |
Especificações Técnicas
Architecture, release timeline, capabilities, and modalities.
| Feature | GPT Image 1 | Imagen 4 |
|---|---|---|
| Official API Model ID (SDK) | gpt-image-1 | models/imagen-4 |
| API Protocol | OpenAI Responses API & Chat Completions v1 | Google Gemini API (generateContent) + OpenAI-Compatible SDK |
| Release Date | 2025-04 | 2025-05 |
| Knowledge Cutoff | April 2025 | March 2025 |
| Architecture | Native multimodal image generation transformer | High-resolution multimodal image diffusion 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 ($5/1M in) across full 4K window | Flat rate ($40/1M in) across full 2K window |
| Prompt Cache Policy & TTL | Automatic prefix caching at $0/1M (no extra cache-write fee) | Implicit + Explicit Context Caching at $0/1M with configurable TTL |
| Computer Use / GUI Agent | Supported (Screen coordinate grounding, browser & desktop GUI action loops) | Text-only completion (No GUI action loop) |
| MCP & Parallel Tool Calling | Prompt-based JSON extraction only | Prompt-based JSON extraction only |
| 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) |
| 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 |
| Output Modalities | image | image |
GPT Image 1 vs Imagen 4: Respostas Rápidas (FAQ)
Which is more intelligent, GPT Image 1 or Imagen 4?
Imagen 4 is more intelligent. It scores 82 compared with 41 on the composite Intelligence Index.
Which model is faster?
Imagen 4 is faster, generating 25 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 $8.00 (7:2:1 cache:input:output ratio).
Which model has lower latency?
Imagen 4 has lower latency, with a time to first token of 2.00s 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 2K tokens.
Veredito
Verdict & Model Selection Recommendation: Choose GPT Image 1 if your priority is Professional image generation, editing and branded visuals. Its performance in demanding tasks justifies its operational token cost. Choose Imagen 4 if your workflow prioritizes Professional advertising, print-ready media, and studio graphic design. For large-scale batch processing or customer-facing conversational interfaces, its balance of speed and economics delivers superior ROI.
Perguntas Frequentes (FAQ)
How does GPT Image 1 compare to Imagen 4 in API token pricing and cost per token?+
GPT Image 1 costs $5.00 per 1M input tokens and $40.00 per 1M output tokens, whereas Imagen 4 costs $40.00 input and $0.00 output. Overall, GPT Image 1 is the more cost-effective model for high-volume API pipelines.
Which model has a larger context window: GPT Image 1 or Imagen 4?+
GPT Image 1 supports a context window of 4K tokens (~3k words), while Imagen 4 supports 2K tokens (~2k words). Therefore, GPT Image 1 can process more textual data and document context in a single prompt.
Which AI model is better for software engineering and coding: GPT Image 1 or Imagen 4?+
GPT Image 1 scores 38.8% on SWE-bench Verified, while Imagen 4 scores competitively for software generation. For complex autonomous debugging and agentic engineering, GPT Image 1 provides robust code generation and tool calling.
What is the difference in reasoning capability and extended thinking between GPT Image 1 and Imagen 4?+
GPT Image 1 is optimized for low-latency direct generation. In contrast, Imagen 4 focuses on standard fast inference.
How does inference speed (tokens per second) compare between GPT Image 1 and Imagen 4?+
GPT Image 1 generates approximately 14 tokens per second, while Imagen 4 delivers 25 tokens per second. In latency-sensitive production environments, Imagen 4 provides faster time-to-first-token (TTFT) and higher streaming response velocity.
Can you implement a tiered LLM routing setup combining GPT Image 1 and Imagen 4 to optimize costs?+
Yes! High-efficiency architectures route high-frequency routine classification and conversational tasks to GPT Image 1 to save operational costs, and dynamically escalate complex architectural queries or reasoning tasks to Imagen 4. This tiered routing pattern cuts overall API bills by up to 70%.
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: GetInfoUs Independent AI Benchmarks & Official API Specs