GPT Image 1.5 vs o4-mini
Compare pricing, context windows, and strengths for GPT Image 1.5 by OpenAI and o4-mini by OpenAI - and see how to put either to work in Appaca.
GPT Image 1.5
State-of-the-art image generation model with improved instruction following and adherence to prompts.
View GPT Image 1.5o4-mini
A fast, cost-efficient small reasoning model optimized for coding and visual tasks; succeeded by GPT-5 mini.
View o4-miniGPT Image 1.5 vs o4-mini at a glance
Specs and pricing side by side, from the Appaca AI models directory.
| Spec | GPT Image 1.5 | o4-mini |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Model type | Image | Text |
| Context window | - | 200K tokens |
| Input price | $5 / 1M tokens | $1.1 / 1M tokens |
| Output price | - | $4.4 / 1M tokens |
| Image generation | From $0.009 / image | - |
| Status | Current | Current |
How GPT Image 1.5 and o4-mini differ
What the numbers mean in practice when choosing between GPT Image 1.5 and o4-mini.
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o4-mini is 78% cheaper on input tokens ($1.1 vs $5 per million), which adds up quickly in document-heavy workloads.
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These are different kinds of model: GPT Image 1.5 is an image model while o4-mini is a text model, so they often complement each other in a workflow rather than compete.
Strengths side by side
Where each model shines, according to benchmarks and provider positioning.
GPT Image 1.5
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.
o4-mini
1. Fast and efficient reasoning
- Provides strong reasoning capabilities with significantly lower latency and cost compared to larger o-series models.
- Ideal for lightweight reasoning tasks, logic steps, and quick multi-step thinking.
2. Optimized for coding tasks
- Performs exceptionally well in code generation, debugging, and explanation.
- Useful for IDE integrations, coding assistants, and developer tools with tight latency budgets.
3. Strong visual reasoning
- Accepts image inputs for tasks such as diagram interpretation, charts, UI analysis, and visual logic.
- Great for hybrid text-image reasoning flows.
4. Large 200K-token context window
- Capable of processing long documents, multi-file codebases, or extended analysis.
- Reduces need for chunking or external retrieval pipelines.
5. High 100K-token output limit
- Supports lengthy reasoning sequences, full codebase explanations, or multi-section documents.
6. Broad API compatibility
- Available in Chat Completions, Responses, Realtime, Assistants, Batch, Embeddings, and Image workflows.
- Supports streaming, function calling, structured outputs, and fine-tuning.
7. Cost-efficient for production
- Lower input/output pricing makes it suitable for large-scale deployments, SaaS products, and recurring tasks.
8. Succeeded by GPT-5 mini
- GPT-5 mini offers improved speed, reasoning power, and pricing, but o4-mini remains a strong option for cost-sensitive workloads.
Use GPT Image 1.5 or o4-mini - or both
Appaca is the AI workspace for operators. Build internal tools and AI co-workers powered by GPT Image 1.5 or o4-mini - connected to your real data and ready for your whole team. No code, no deployment.
Describe it, and it's built
Tell the Appaca agent the internal tool you need and it builds a working app powered by GPT Image 1.5 or o4-mini. No code, no API keys, no deployment.
Switch models without rebuilding
Start on GPT Image 1.5, test the same tool on o4-mini, and keep whichever performs better - the rest of your app stays exactly as it is.
Automated for the whole team
Schedule tools to run on autopilot - daily digests, weekly reports, real-time triggers - and share them with your whole team from one workspace.
Describe it, and it's built
Tell the Appaca agent what your team needs and it builds a working app powered by GPT Image 1.5 or o4-mini - connected to the tools you already use.
Related comparisons
See how GPT Image 1.5 and o4-mini stack up against other models in the directory.
FAQs
Pricing models differ: see the full GPT Image 1.5 and o4-mini pages in the Appaca AI models directory for current pricing details.
Context window data is listed on each model's page in the Appaca AI models directory.
It depends on the job. Compare the pricing, context window, and strengths above against your workload - and remember the choice isn't permanent. In Appaca you can build a tool on GPT Image 1.5, test the same tool on o4-mini, and switch at any time without rebuilding anything.
Yes. Appaca is a no-code AI workspace: describe the internal tool your team needs and the Appaca agent builds it as a working app powered by GPT Image 1.5, o4-mini, or any other model in the directory - with a built-in database, team access, and integrations. No API keys to wire up and nothing to deploy.
Build AI tools with GPT Image 1.5 or o4-mini
Describe the tool your team needs and get a working app powered by the model you choose - with a built-in database, team access, and integrations. No code, no deployment.