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LLM ComparisonGPT Image 1.5Gemini 3 Pro

GPT Image 1.5 vs Gemini 3 Pro

Compare GPT Image 1.5 and Gemini 3 Pro. Build AI products powered by either model on Appaca.

Model Comparison

FeatureGPT Image 1.5Gemini 3 Pro
ProviderOpenAIGoogle
Model Typeimagetext
Context WindowN/A1,000,000 tokens
Input Cost
$5.00/ 1M tokens
$4.00/ 1M tokens
Output CostN/A
$18.00/ 1M tokens

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Strengths & Best Use Cases

GPT Image 1.5

OpenAI

1. State-of-the-Art Image Generation

  • Produces high-quality, detailed images optimized for realism, style control and prompt fidelity.
  • Designed to handle complex visual scenes, compositions and lighting conditions.

2. Natively Multimodal Architecture

  • Understands and reasons over both text and images as inputs.
  • Ideal for workflows like editing based on reference images, expanding sketches or mockups and visual concept development.

3. Flexible Output Resolutions & Quality Levels

  • Supports multiple resolutions including 1024x1024, 1024x1536 and 1536x1024.
  • Offers three quality tiers (Low, Medium, High) to balance cost, speed and maximum detail.

4. Multiple Pricing Models

  • Pay-per-token for multimodal input: text tokens and image tokens.
  • Pay-per-image generation for final output: low, medium and high quality tiers.
  • Enables businesses to balance cost and output needs.

5. Broad Use Cases

  • Product photography and marketing assets.
  • Illustration, concept art and creative ideation.
  • UX/UI mockups.
  • Style-guided image creation.
  • Generating reference images for design or storytelling.

6. Supported Across Major API Endpoints

  • Available via Chat Completions, Responses, Realtime, Assistants and Images (generations/edits) endpoints.
  • Allows tight integration into automated creative pipelines or user-facing apps.

7. Simplified Model Behavior for Stability

  • No streaming, function calling, structured outputs or fine-tuning; focused solely on high-quality image generation.

8. Consistent Results via Snapshots

  • Supports snapshots for version locking to ensure long-term reproducibility.

9. Ideal For

  • Designers, marketers and creatives.
  • Product teams needing image assets.
  • App builders integrating image generation workflows.
  • Agencies producing visual content at scale.

Gemini 3 Pro

Google

1. State-of-the-art reasoning

  • Top performance across academic reasoning, scientific knowledge, math, and complex problem-solving.
  • Excels at long-horizon, multi-step workflows and deep logical interpretation.

2. World-leading multimodal capabilities

  • Natively understands text, images, videos, audio, and code.
  • Ranked highest on benchmarks like MMMU-Pro, Video-MMMU, ScreenSpot-Pro.

3. Exceptional coding + agentic workflows

  • Strong in competitive coding and real-world agentic tasks (SWE-Bench Verified, Terminal-Bench, LiveCodeBench).
  • Improved tool calling, planning, and execution for autonomous or semi-autonomous agents.

4. Powerful for long-context tasks

  • Effective at 128K-1M context windows with high retrieval accuracy.
  • Ideal for document-heavy workflows, research, analysis, multi-file coding, and multi-document reasoning.

5. Strong information synthesis and interpretation

  • Outperforms peers in chart reasoning, OCR, structured extraction, and screen understanding.
  • Excellent at combining multimodal inputs into coherent, concise answers.

6. High reliability for enterprise tasks

  • Benchmarks show superior factuality, grounding, and parametric knowledge.
  • Strong multilingual accuracy and global commonsense performance.

7. Optimized for production agents

  • Designed for complex multi-step planning, simultaneous task execution, and improved consistency.
  • Works across coding, research, creative workflows, UI generation, and data-heavy applications.