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Head-to-Head Model Comparison

Imagen 3 vs GPT Image 1

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Verificato dal team di ricerca di GetInfoUsUltima verifica: October 2026Politica editoriale
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Related topics (12)
AI CompareAI BenchmarkToken PricingModel CostModel SpecsSWE-bench CodingModel VersusWhich AI ModelLLM Speed & LatencyReasoning ModelsExtended ThinkingPrompt Caching ROI
Imagen 3 vs GPT Image 1: Benchmarks, Pricing & Speed Comparison

Imagen 3 di Google e GPT Image 1 di OpenAI sono due modelli di IA di riferimento. Imagen 3 offre una finestra di contesto di 1K token a $30.00/$0.00 per milione di token, mentre GPT Image 1 mette a disposizione 4.1K token di contesto a $5.00/$40.00 per milione di token. Di seguito analizziamo benchmark, latenza e costi.

Confronto Diretto (VS)

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Google

Imagen 3

Generazione di Immagini IA

Imagen 3 di Google è un modello di IA progettato per la generazione di immagini IA ad alta risoluzione, il design visivo e il rendering tipografico, con finestra di contesto da 1K, velocità di 20 token/s, indice di intelligenza di 72/100 e

Intelligence Index72 / 100
Input Token:

$30.00 / 1M

Output Token:

$0.00 / 1M

Context Window:

1K tokens

SWE-bench Verified:

N/A

OpenAI

GPT Image 1

Generazione di Immagini IA

GPT Image 1 di OpenAI è un modello di IA progettato per la generazione di immagini IA ad alta risoluzione, il design visivo e il rendering tipografico, con finestra di contesto da 4K, velocità di 14 token/s, indice di intelligenza di 41/100

Intelligence Index41 / 100
Input Token:

$5.00 / 1M

Output Token:

$40.00 / 1M

Context Window:

4.1K tokens

SWE-bench Verified:

38.8%

Differenze Chiave a Colpo d’Occhio

  • 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.
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureImagen 3GPT Image 1
Intelligence Index
Composite reasoning & knowledge score (0-100)
7241
Provider
GoogleOpenAI
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 text4.1K tokens~6 A4 pages of text
Max Output Tokens
Per single request
4K4K
Throughput Speed
Tokens generated per second
20 tok/s14 tok/s
SWE-bench Verified
Real-world software engineering
N/A38.8%
GPQA Diamond
Graduate-level reasoning
N/A53.6%

Chi vince in ogni categoria?

At-a-glance decision framework
Coding

Evaluations ongoing

Cost
GPT Image 1
1.0x cheaper monthly runtime
Speed
Imagen 3
+43% faster generation
Context
GPT Image 1
4.1K tokens window

Punteggi Benchmark Verificati

Official evaluation metrics verified by independent third-party research labs.

Imagen 3GPT Image 1
SWE-bench Verified (Autonomous Coding)

Industry benchmark evaluating real-world GitHub issue resolution and multi-file debugging.

N/Avs38.8%
GPQA Diamond (Doctorate-Level Science & Math)

Challenging questions created by domain experts to test complex PhD-level reasoning.

N/Avs53.6%
MMLU-Pro (Multi-task Language Understanding)

Hardened reasoning and academic knowledge benchmark with reduced lucky-guess probability.

N/Avs72.6%
LMSYS Chatbot Arena Elo

Crowdsourced human preference evaluation based on blind, head-to-head model battles.

1310ptsvs1286pts
Humanity's Last Exam (Frontier Expert Knowledge)

Extremely difficult, closed-ended questions spanning the frontier of human expert knowledge.

N/Avs4.1%
Terminal-Bench (Agentic Coding & Terminal Use)

Autonomous multi-step tasks executed inside a real command-line terminal environment.

N/Avs18.5%
SciCode (Scientific Computing)

Research-grade coding problems drawn from real scientific and numerical workloads.

N/Avs27.3%
LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

N/Avs43.9%
AIME (Advanced Math Competition)

American Invitational Mathematics Examination — multi-step Olympiad-level reasoning.

N/Avs29.7%
Long-Context Reasoning

Accuracy when reasoning over very large inputs that fill the model context window.

N/Avs58.2%
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

20 tok/s vs14 tok/s

Latenza e Tempo di Risposta

Time to first token (TTFT) and estimated end-to-end response time for a typical 500-token response.

Time to First Token (TTFT)Lower is better
Imagen 32.50s
GPT Image 18.20s
Est. End-to-End Response (500 tokens)TTFT + generation time
Imagen 327.50s
GPT Image 143.91s

Simulatore Interattivo dei Costi Token

Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.

100K / day
10K500K1M
30K / day
5K150K300K
50% cached
0% (Cold)50%90% (Warm)
Imagen 3 Monthly API Bill
$45.00 / month
$30/1M in · $0/1M out
GPT Image 1 Monthly API Bill
$43.50 / month
$5/1M in · $40/1M out
GPT Image 1 saves approximately $1.50 / month (3%) under this workload.1.0x Savings

Imagen 3 · Strengths & Key Advantages

  • Finestra di contesto da 1K con capacità massima di output fino a 4K token (Arena Elo 1310)
  • Throughput elevato di 20 token/secondo con latenza al primo token (TTFT) di soli 2500 ms
  • Economia API competitiva ($30/$0 per 1M di token) con supporto per prompt caching, tool calling e output JSON strutturati
Considerations & Trade-offs
  • Modello cloud proprietario chiuso; non consente il download locale dei pesi per l’esecuzione offline
  • Per volumi di traffico elevati in produzione si consiglia di attivare il prompt caching e la Batch API

GPT Image 1 · Strengths & Key Advantages

  • Finestra di contesto da 4K con capacità massima di output fino a 4K token (SWE-bench Verified 38.8% · GPQA Diamond 53.6%)
  • Throughput elevato di 14 token/secondo con latenza al primo token (TTFT) di soli 8200 ms
  • Economia API competitiva ($5/$40 per 1M di token) con supporto per prompt caching, tool calling e output JSON strutturati
Considerations & Trade-offs
  • Modello cloud proprietario chiuso; non consente il download locale dei pesi per l’esecuzione offline
  • Per volumi di traffico elevati in produzione si consiglia di attivare il prompt caching e la Batch API

Token Use & Task Economics

Estimated cost and token consumption to complete one representative agentic task.

MetricImagen 3GPT Image 1
Cost per Task
Estimated USD to finish one task
$0.03$0.32
Output Tokens / Task
Tokens generated per task
0K8K
Reasoning Tokens / Task
Thinking tokens burned per task
0K0K

Specifiche Tecniche

Architecture, release timeline, capabilities, and modalities.

FeatureImagen 3GPT Image 1
Official API Model ID (SDK)models/imagen-3gpt-image-1
API ProtocolGoogle Gemini API (generateContent) + OpenAI-Compatible SDKOpenAI Responses API & Chat Completions v1
Release Date2024-082025-04
Knowledge CutoffJuly 2024April 2025
ArchitectureLatent text-to-image diffusion transformerNative multimodal image generation transformer
ParametersConfidentialConfidential
Enterprise Rate Limits (RPM / TPM)10,000 – 30,000 RPM (Tier 5 Enterprise) · 800,000 – 2,000,000 TPM10,000 – 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 windowFlat rate ($5/1M in) across full 4K window
Prompt Cache Policy & TTLImplicit + Explicit Context Caching at $0/1M with configurable TTLAutomatic prefix caching at $0/1M (no extra cache-write fee)
Computer Use / GUI AgentText-only completion (No GUI action loop)Supported (Screen coordinate grounding, browser & desktop GUI action loops)
MCP & Parallel Tool CallingPrompt-based JSON extraction onlyPrompt-based JSON extraction only
Web Search Grounding & SandboxBuilt-in Google Search Grounding + Managed Python Code Execution SandboxNative Web Search tool + Hosted Code Interpreter & File Search RAG
Official Fine-Tuning SupportVertex AI Supervised Adapter Tuning & Context DistillationSupervised Fine-Tuning (SFT), Direct Preference (DPO) & Reinforcement Fine-Tuning (RFT)
Multimodal Token BillingText BPE (~4 chars/token)Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile)
Quantization & Min GPU VRAMCloud-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 ClassificationGoogle DeepMind Frontier Safety Framework VerifiedOpenAI Preparedness Framework Audited & System Card Published
Enterprise Compliance (ZDR/HIPAA/SOC2)SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise TierSOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier
Input Modalitiestexttext, vision
Output Modalitiesimageimage

Imagen 3 vs GPT Image 1: Risposte Rapide (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.

Verdetto

Sia Imagen 3 (Ideale per la generazione di immagini IA ad alta risoluzione, il design visivo e il rendering tipografico, sistemi RAG aziendali e integrazioni API scalabili.) sia GPT Image 1 (Ideale per la generazione di immagini IA ad alta risoluzione, il design visivo e il rendering tipografico, sistemi RAG aziendali e integrazioni API scalabili.) eccellono in produzione: Imagen 3 guida nei benchmark di ragionamento e programmazione, Imagen 3 garantisce una generazione più rapida e GPT Image 1 offre il miglior rapporto qualità-prezzo per carichi API elevati.

Domande Frequenti (FAQ)

Quale modello è migliore per coding e ragionamento, Imagen 3 o GPT Image 1?+

Nell’indice di intelligenza composito e nei benchmark di programmazione prevale Imagen 3. Consulta i punteggi SWE-bench e GPQA qui sopra per tutti i dettagli.

Qual è la differenza di prezzo API tra Imagen 3 e GPT Image 1?+

Imagen 3 costa $30.00 / $0.00 per milione di token di input/output, mentre GPT Image 1 costa $5.00 / $40.00. Nel costo combinato, GPT Image 1 risulta più economico.

Quale modello ha la finestra di contesto più ampia e la velocità maggiore?+

Imagen 3 supporta 1K token di contesto contro 4.1K token di GPT Image 1, mentre Imagen 3 offre una velocità di generazione superiore.

AI Terminology & Guide
Explore Glossary →

Understand key metrics like context window, token pricing, reasoning mode, and SWE-bench scores in our comprehensive AI glossary.

Tokens & PricingContext WindowAI BenchmarksReasoning ModelsTool CallingModel Context Protocol (MCP)

Related reading

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.

Fonti ufficiali: Documentazione API ufficiale di Google e OpenAI, schede di sistema e benchmark indipendenti (2026).