GPT Image 2 vs GPT Image 1.5
Benchmarks, API Token Pricing, Context Window & Speed Comparison
Related topics (12)
GPT Image 2 da OpenAI e GPT Image 1.5 da OpenAI 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 GPT Image 1.5 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.
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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%
GPT Image 1.5
Geração de Imagens por IAO GPT Image 1.5 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 17 tokens/s, índice de inteligência de 46/100 e tarifa d
$5.00 / 1M
$40.00 / 1M
4.1K tokens
52%
Principais Diferenças em Resumo
- Both models cost the same under this workload — choose on capability, not price.
- GPT Image 2 is faster at 21 tok/s vs 17 tok/s.
- GPT Image 2 leads on SWE-bench coding (68.5% vs 52.0%).
| Feature | GPT Image 2 | GPT Image 1.5 |
|---|---|---|
Intelligence Index Composite reasoning & knowledge score (0-100) | 59 | 46 |
Provider | OpenAI | OpenAI |
Input Price Cost per million input tokens | $5.00 / 1M | $5.00 / 1M |
Output Price Cost per million output tokens | $40.00 / 1M | $40.00 / 1M |
Blended Price Weighted 7:2:1 cache:input:output per 1M | $5.00 / 1M | $5.00 / 1M |
Context Window Maximum input + output tokens | 4.1K tokens~6 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 | 21 tok/s | 17 tok/s |
SWE-bench Verified Real-world software engineering | 68.5% | 52% |
GPQA Diamond Graduate-level reasoning | 72.5% | 66% |
Quem vence em cada categoria?
At-a-glance decision frameworkPontuações 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
GPT Image 1.5 · Strengths & Key Advantages
- Janela de contexto de 4K com limite máximo de saída de 4K tokens (SWE-bench Verified 52% · GPQA Diamond 66%)
- Taxa de transferência rápida de 17 tokens/segundo com latência inicial (TTFT) de 7100 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 | GPT Image 2 | GPT Image 1.5 |
|---|---|---|
Cost per Task Estimated USD to finish one task | $0.36 | $0.34 |
Output Tokens / Task Tokens generated per task | 9K | 9K |
Reasoning Tokens / Task Thinking tokens burned per task | 0K | 0K |
Especificações Técnicas
Architecture, release timeline, capabilities, and modalities.
| Feature | GPT Image 2 | GPT Image 1.5 |
|---|---|---|
| Official API Model ID (SDK) | gpt-image-2 | gpt-image-1-5 |
| API Protocol | OpenAI Responses API & Chat Completions v1 | OpenAI Responses API & Chat Completions v1 |
| Release Date | 2026-04 | 2025-11 |
| Knowledge Cutoff | March 2026 | October 2025 |
| Architecture | Frontier native multimodal image 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 ($5/1M in) across full 4K window | Flat rate ($5/1M in) across full 4K window |
| Prompt Cache Policy & TTL | Automatic prefix caching at $0/1M (no extra cache-write fee) | Automatic prefix caching at $0/1M (no extra cache-write fee) |
| 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 | Prompt-based JSON extraction only |
| Web Search Grounding & Sandbox | Native Web Search tool + Hosted Code Interpreter & File Search RAG | Native Web Search tool + Hosted Code Interpreter & File Search RAG |
| Official Fine-Tuning Support | Supervised Fine-Tuning (SFT), Direct Preference (DPO) & Reinforcement Fine-Tuning (RFT) | Supervised Fine-Tuning (SFT), Direct Preference (DPO) & Reinforcement Fine-Tuning (RFT) |
| 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 | 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, vision | text, vision |
| Output Modalities | image | image |
GPT Image 2 vs GPT Image 1.5: Respostas Rápidas (FAQ)
Which is more intelligent, GPT Image 2 or GPT Image 1.5?
GPT Image 2 is more intelligent. It scores 59 compared with 46 on the composite Intelligence Index.
Which model is faster?
GPT Image 2 is faster, generating 21 tokens per second compared with 17 tokens per second.
Which model has lower latency?
GPT Image 2 has lower latency, with a time to first token of 6.20s compared with 7.10s.
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 GPT Image 1.5 (Indicado para geração de imagens em alta resolução, design visual e tipografia precisa, arquiteturas RAG corporativas e integração escalável via API.) entregam excelente desempenho: GPT Image 2 lidera em inteligência geral e programação, GPT Image 2 oferece geração mais rápida e GPT Image 2 apresenta o melhor custo-benefício em produção.
Perguntas Frequentes (FAQ)
Qual é melhor para programação e raciocínio, GPT Image 2 ou GPT Image 1.5?+
Nas avaliações de inteligência e código, GPT Image 2 leva vantagem. Confira os gráficos SWE-bench e GPQA acima para detalhes.
Qual modelo tem a API mais barata, GPT Image 2 ou GPT Image 1.5?+
O GPT Image 2 custa $5.00 / $40.00 por 1M de tokens (entrada/saída) e o GPT Image 1.5 custa $5.00 / $40.00. No custo combinado, GPT Image 2 é mais econômico.
Qual modelo possui maior janela de contexto e velocidade?+
O GPT Image 2 suporta 4.1K tokens de contexto contra 4.1K tokens do GPT Image 1.5, enquanto GPT Image 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 OpenAI e benchmarks independentes (2026).