Imagen 4 vs GPT-6 Astra
Benchmarks, API Token Pricing, Context Window & Speed Comparison
Related topics (4)
Compare Imagen 4 by Google against GPT-6 Astra by OpenAI across real-world coding, reasoning, token economics, and latency.
Troque e Compare Qualquer Modelo
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Live comparison: no in-depth editorial review has been published for this pair yet.
Imagen 4
Geração de Imagens por IAO Imagen 4 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 2K, velocidade de 25 tokens/s, índice de inteligência de 82/100 e tarifa de $40
$40.00 / 1M
$0.00 / 1M
2K tokens
N/A
GPT-6 Astra
Modelo Nativo de Voz e ÁudioO GPT-6 Astra da OpenAI é um modelo de IA projetado para síntese de voz natural, transcrição de áudio e interação falada em tempo real, oferecendo janela de contexto de 272K, velocidade de 100 tokens/s, índice de inteligência de 96/100 e ta
$10.00 / 1M
$50.00 / 1M
272K tokens
82.4%
Principais Diferenças em Resumo
- Imagen 4 is 1.0x cheaper for API usage (input + output tokens combined).
- GPT-6 Astra has a larger context window (272K vs 2K tokens).
- GPT-6 Astra is faster at 100 tok/s vs 25 tok/s.
| Feature | Imagen 4 | GPT-6 Astra |
|---|---|---|
Intelligence Index Composite reasoning & knowledge score (0-100) | 82 | 96 |
Provider | OpenAI | |
Input Price Cost per million input tokens | $40.00 / 1M | $10.00 / 1M |
Output Price Cost per million output tokens | $0.00 / 1M | $50.00 / 1M |
Blended Price Weighted 7:2:1 cache:input:output per 1M | $8.00 / 1M | $7.70 / 1M |
Context Window Maximum input + output tokens | 2K tokens~3 A4 pages of text | 272K tokens~408 A4 pages of text |
Max Output Tokens Per single request | 4K | 128K |
Throughput Speed Tokens generated per second | 25 tok/s | 100 tok/s |
SWE-bench Verified Real-world software engineering | N/A | 82.4% |
GPQA Diamond Graduate-level reasoning | N/A | 80.9% |
Cached Input Price Prompt caching discount per 1M tokens | $0.00 / 1M | $1.00 / 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.
Imagen 4 · Strengths & Key Advantages
- Janela de contexto de 2K com limite máximo de saída de 4K tokens (Arena Elo 1390)
- Taxa de transferência rápida de 25 tokens/segundo com latência inicial (TTFT) de 2000 ms
- Economia de API competitiva ($40/$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-6 Astra · Strengths & Key Advantages
- Janela de contexto de 272K com limite máximo de saída de 128K tokens (SWE-bench Verified 82.4% · GPQA Diamond 80.9%)
- Taxa de transferência rápida de 100 tokens/segundo com latência inicial (TTFT) de 950 ms
- Economia de API competitiva ($10/$50 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 4 | GPT-6 Astra |
|---|---|---|
Cost per Task Estimated USD to finish one task | $0.04 | $2.15 |
Output Tokens / Task Tokens generated per task | 0K | 58K |
Reasoning Tokens / Task Thinking tokens burned per task | 0K | 32K |
Especificações Técnicas
Architecture, release timeline, capabilities, and modalities.
| Feature | Imagen 4 | GPT-6 Astra |
|---|---|---|
| Official API Model ID (SDK) | models/imagen-4 | gpt-6-astra |
| API Protocol | Google Gemini API (generateContent) + OpenAI-Compatible SDK | OpenAI Responses API & Chat Completions v1 |
| Release Date | 2025-05 | 2026-09 |
| Knowledge Cutoff | March 2025 | June 2026 |
| Architecture | High-resolution multimodal image diffusion transformer | Omni-Adaptive Autoregressive with Dynamic CoT |
| 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 ($40/1M in) across full 2K window | Flat rate ($10/1M in) across full 272K window |
| Prompt Cache Policy & TTL | Implicit + Explicit Context Caching at $0/1M with configurable TTL | Automatic prefix caching at $1/1M (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 | Native MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema |
| 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) · Audio (~25–32 tokens/sec) |
| 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, audio |
| Output Modalities | image | text, audio |
Imagen 4 vs GPT-6 Astra: Respostas Rápidas (FAQ)
Which is more intelligent, Imagen 4 or GPT-6 Astra?
GPT-6 Astra is more intelligent. It scores 96 compared with 82 on the composite Intelligence Index.
Which model is faster?
GPT-6 Astra is faster, generating 100 tokens per second compared with 25 tokens per second.
Which model is cheaper to run?
GPT-6 Astra is cheaper at $7.70 per 1M tokens blended, compared with $8.00 (7:2:1 cache:input:output ratio).
Which model has lower latency?
GPT-6 Astra has lower latency, with a time to first token of 0.95s compared with 2.00s.
Which model has a larger context window?
GPT-6 Astra has a larger context window, supporting 272K tokens compared with 2K tokens.
Veredito
Choose Imagen 4 for indicado para geração de imagens em alta resolução, design visual e tipografia precisa, arquiteturas rag corporativas e integração escalável via api., or choose GPT-6 Astra for indicado para síntese de voz natural, transcrição de áudio e interação falada em tempo real, arquiteturas rag corporativas e integração escalável via api..
Perguntas Frequentes (FAQ)
Which is cheaper: Imagen 4 or GPT-6 Astra?+
Imagen 4 costs $40/1M input and $0/1M output tokens, while GPT-6 Astra costs $10/1M input and $50/1M output tokens.
Which model has a larger context window: Imagen 4 or GPT-6 Astra?+
Imagen 4 supports 2K tokens whereas GPT-6 Astra supports 272K tokens.
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: Google & OpenAI Official Documentation