GPT-5.5 vs GPT Image 1 Mini
Compare pricing, context windows, and strengths for GPT-5.5 by OpenAI and GPT Image 1 Mini by OpenAI - and see how to put either to work in Appaca.
GPT-5.5
OpenAI's smartest and most capable model yet for agentic coding, knowledge work, and computer use, delivering a new class of intelligence at GPT-5.4 latency.
View GPT-5.5GPT Image 1 Mini
A cost-efficient, multimodal image generation model that accepts text and image inputs and produces images across multiple resolutions and quality levels.
View GPT Image 1 MiniGPT-5.5 vs GPT Image 1 Mini at a glance
Specs and pricing side by side, from the Appaca AI models directory.
| Spec | GPT-5.5 | GPT Image 1 Mini |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Model type | Text | Image |
| Context window | 1M tokens | - |
| Input price | $5 / 1M tokens | $2 / 1M tokens |
| Output price | $30 / 1M tokens | - |
| Image generation | - | From $0.005 / image |
| Status | Current | Current |
How GPT-5.5 and GPT Image 1 Mini differ
What the numbers mean in practice when choosing between GPT-5.5 and GPT Image 1 Mini.
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GPT Image 1 Mini is 60% cheaper on input tokens ($2 vs $5 per million), which adds up quickly in document-heavy workloads.
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These are different kinds of model: GPT-5.5 is a text model while GPT Image 1 Mini is an image 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-5.5
1. Strongest Agentic Coding Model
- State-of-the-art on Terminal-Bench 2.0 (82.7%), Expert-SWE (73.1%), and SWE-Bench Pro (58.6%), outperforming GPT-5.4 on complex coding tasks.
- Holds context across large systems, reasons through ambiguous failures, and carries changes through surrounding codebases with fewer tokens.
2. Higher Intelligence at GPT-5.4 Latency
- Co-designed, trained, and served on NVIDIA GB200/GB300 NVL72 systems to match GPT-5.4 per-token latency while performing at a significantly higher level.
- Uses fewer tokens to complete the same tasks, making it more efficient as well as more capable.
3. Powerful for Knowledge Work & Computer Use
- Scores 84.9% on GDPval (44 occupations) and 78.7% on OSWorld-Verified for autonomous computer operation.
- Excels at generating documents, spreadsheets, and reports; naturally moves across finding information, using tools, and checking output.
4. Scientific Research Co-Scientist
- Leading performance on GeneBench, BixBench, and FrontierMath; helped discover a new proof about Ramsey numbers verified in Lean.
- Strong enough to meaningfully accelerate progress at the frontiers of biomedical and mathematical research.
GPT Image 1 Mini
1. Cost-Efficient Image Generation
- A budget-friendly version of GPT Image 1 designed for high-volume or cost-sensitive workflows.
- Offers strong visual generation quality at significantly reduced per-image prices.
2. Natively Multimodal Architecture
- Accepts both text and image inputs, enabling:
- Image-to-image transformations
- Visual editing based on reference photos
- Enhanced control via mixed inputs
- Outputs high-quality images aligned with the prompt or reference.
3. Flexible Resolution & Quality Options
- Supports three quality tiers (Low, Medium, High).
- Available in multiple resolutions:
- 1024x1024
- 1024x1536
- 1536x1024
- Allows users to choose between affordability and visual detail.
4. Practical for Real-World Applications Ideal for:
- Marketing visuals
- UI/UX mockups
- Concept art
- Prototyping & brainstorming
- Lightweight creative tools within SaaS platforms
5. Broad API Integration Works across all major endpoints:
- Chat Completions
- Responses
- Realtime
- Assistants
- Image generation & image edits
- Batch and embedding pipelines for more complex workflows.
6. Streamlined Feature Set for Simplicity
- No streaming, function calling, structured output, or fine-tuning.
- Focused exclusively on reliable, easy-to-use image generation.
7. Snapshot Support for Consistency
- Supports stable snapshots so developers can lock behavior and ensure reproducible outputs across deployments.
Use GPT-5.5 or GPT Image 1 Mini - or both
Appaca is the AI workspace for operators. Build internal tools and AI co-workers powered by GPT-5.5 or GPT Image 1 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-5.5 or GPT Image 1 Mini. No code, no API keys, no deployment.
Switch models without rebuilding
Start on GPT-5.5, test the same tool on GPT Image 1 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-5.5 or GPT Image 1 Mini - connected to the tools you already use.
Related comparisons
See how GPT-5.5 and GPT Image 1 Mini stack up against other models in the directory.
FAQs
Pricing models differ: see the full GPT-5.5 and GPT Image 1 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-5.5, test the same tool on GPT Image 1 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-5.5, GPT Image 1 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-5.5 or GPT Image 1 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.