GPT Image 1 Mini: Complete Specifications, Pricing, API Access & Use Cases (2026)
What Is GPT Image 1 Mini?
GPT Image 1 Mini is OpenAI’s cost-efficient image generation model in the GPT Image family, featuring an officially unspecified context window and text-and-image input for image output, with OpenAI API pricing from \$2.00 per 1M text input tokens and \$8.00 per 1M output tokens as of July 2026. OpenAI describes gpt-image-1-mini as a cost-efficient version of GPT Image 1 and a natively multimodal model that accepts both text and image inputs while producing image outputs.
The model is designed for image generation and editing workflows where cost efficiency matters. It is relevant for developers, product teams, design teams, and automation builders that need programmatic image generation, reference-image editing, concept iteration, or large-scale creative testing. Teams comparing OpenAI image models may also evaluate GPT Image 1 when deciding whether GPT Image 1 Mini’s lower-cost profile fits their workload.
GPT Image 1 Mini is also a lifecycle-sensitive model. OpenAI’s deprecation documentation says older GPT Image models, including gpt-image-1-mini, are scheduled for API removal on December 1, 2026, with gpt-image-2 listed as the recommended replacement. This makes GPT Image 1 Mini suitable for short-term or migration-aware deployments rather than new long-term dependencies without a replacement plan.
What Are GPT Image 1 Mini’s Key Specifications and Pricing?
| Field | Verified Value |
|---|---|
| Provider | OpenAI (as of July 2026) |
| Model Family | GPT Image (as of July 2026) |
| Model Type | Image generation and editing model; natively multimodal model for text/image input and image output (as of July 2026) |
| Release Date | Not confirmed from OpenAI official sources as of July 2026 |
| Context Window | Not confirmed from official sources as of July 2026 |
| Input Pricing | Text input: \$2.00 per 1M tokens; image input: \$2.50 per 1M tokens (as of July 2026) |
| Cached Input Pricing | Text cached input: \$0.20 per 1M tokens; image cached input: \$0.25 per 1M tokens (as of July 2026) |
| Output Pricing | \$8.00 per 1M image output tokens (as of July 2026) |
| Pricing Unit | Per 1M tokens; image-generation costs also vary by size and quality (as of July 2026) |
| Per-Image Examples | 1024×1024 output: \$0.005 low quality, \$0.011 medium quality, \$0.036 high quality (as of July 2026) |
| Modality Support | Text input, image input, image output (as of July 2026) |
| Supported Input Types | Text and image (as of July 2026) |
| Supported Output Types | Image (as of July 2026) |
| API Access | OpenAI Image API; GPT Image models may require API organization verification (as of July 2026) |
| OpenAI Model ID | gpt-image-1-mini (as of July 2026) |
| Gate.AIModel ID | openai/gpt-image-1-mini, as shown in theGate.AImodel-card/listing (as of July 2026) |
| Availability | OpenAI API andGate.AImodel-card access path, subject to account permissions, model lifecycle, and platform availability (as of July 2026) |
| Knowledge Cutoff | Not applicable as a standard text-model knowledge cutoff; not specified in official documentation as of July 2026 |
| Rate Limits | Not confirmed from official sources as of July 2026 |
| Fine-tuning Support | Not confirmed from official sources as of July 2026 |
| Streaming Support | OpenAI documents partial image streaming behavior for GPT Image workflows; model-specific deployment support should be verified before production use (as of July 2026) |
| Batch API Support | Not confirmed from official sources as of July 2026 |
| Tool / Function Calling | Not confirmed as a model-native feature for GPT Image 1 Mini as of July 2026 |
| Structured Output / JSON Mode | Not confirmed from official sources as of July 2026 |
| License / Usage Restrictions | Subject to OpenAI API terms, account permissions, content policy, and moderation behavior (as of July 2026) |
OpenAI’s official GPT Image 1 Mini model page lists text-token pricing, image-token pricing, cached-input pricing, output-token pricing, supported modalities, and per-image price examples. For 1024×1024 image output, OpenAI lists \$0.005 at low quality, \$0.011 at medium quality, and \$0.036 at high quality as of July 2026.
What Can GPT Image 1 Mini Do That Makes It Useful in Production?
Cost-sensitive image generation: GPT Image 1 Mini is suitable when teams need many generated images and want lower per-call cost than larger image models. This can fit creative previews, social-media drafts, internal concept boards, product thumbnails, and high-volume experimentation. The main limitation is that lower cost does not remove the need for review of visual accuracy, branding, and policy compliance.
Text-to-image creation: The model can generate images from text prompts, making it useful for applications that convert user instructions into visual concepts. OpenAI’s Image API supports generation from scratch through a dedicated generation endpoint.
Image-input editing workflows: Because GPT Image 1 Mini supports image input and image output, it can fit image editing, reference-image prompting, and visual modification tasks. OpenAI’s Image API supports both generation and edits for GPT Image models.
Creative iteration in applications: Product teams can integrate GPT Image 1 Mini into workflows where users try multiple visual directions, compare drafts, and refine prompts. This is useful for design exploration, e-commerce mockups, lightweight campaign ideation, and internal creative tools. In broader OpenAI visual-generation workflows, teams may also compare image-model output with Sora 2 when planning image-to-video or video-adjacent creative pipelines.
Short-term migration-aware deployments: GPT Image 1 Mini can be practical when an organization already uses the model, needs cost-efficient image generation, and can plan migration to gpt-image-2 before the scheduled December 1, 2026 removal date.
What Are GPT Image 1 Mini’s Supported Modalities?
| Modality | Supported? | Notes |
|---|---|---|
| Text input | Yes | Used for image-generation prompts and edit instructions (as of July 2026) |
| Image input | Yes | Used for reference-image or edit workflows (as of July 2026) |
| Image output | Yes | Primary output modality (as of July 2026) |
| Text output | Not confirmed | OpenAI lists text as input only for this model (as of July 2026) |
| Audio input/output | No | OpenAI lists audio as not supported (as of July 2026) |
| Video input/output | No | OpenAI lists video as not supported (as of July 2026) |
OpenAI’s model page lists text as input only, image as input and output, and audio/video as not supported for GPT Image 1 Mini as of July 2026.
Where Does GPT Image 1 Mini Fall Short?
GPT Image 1 Mini has several important limitations. First, OpenAI does not publish a standard context-window value for this model in the official model page as of July 2026. That means developers should not assume a specific long-context capacity for prompt or image-input planning.
Second, OpenAI’s GPT Image documentation notes practical image-generation limitations, including latency, imperfect text rendering, occasional visual-consistency issues, and difficulty with precise composition control. Complex prompts may take up to two minutes to process, so real-time user experiences should account for possible latency.
Third, lifecycle risk is material. OpenAI’s deprecation documentation lists gpt-image-1-mini for API removal on December 1, 2026, with gpt-image-2 as the recommended replacement. Teams should avoid building new long-term systems around this model without a documented migration path.
This is a general AI limitation and is not model-specific unless stated by the provider: generated images may contain visual errors, inaccurate details, unwanted artifacts, or policy-restricted content. Brand, legal, medical, public-information, and identity-sensitive uses should include human review and content-safety checks.
What Is GPT Image 1 Mini Best Used For?
| Use Case | Why GPT Image 1 Mini May Fit | Important Limitation |
|---|---|---|
| Draft image generation | Lower token and per-image costs can support frequent creative testing | Outputs still require quality review |
| Image editing | Text and image inputs support reference-based editing workflows | Precise mask or layout adherence may be imperfect |
| Marketing concept drafts | Useful for quick visual exploration before designer review | Final assets should be checked for brand and legal fit |
| E-commerce visual ideation | Can generate product-context concepts or draft scenes | Should not replace verified product photography |
| App-integrated image generation | OpenAI Image API supports programmatic generation and editing | Organization verification and account permissions may apply |
| Migration-stage image workflows | Can support existing workflows while teams evaluate GPT Image 2 | Scheduled API removal requires transition planning |
GPT Image 1 Mini is best viewed as a cost-efficient image model for draft generation, editing, and visual experimentation. It should not be treated as a permanent default choice for new systems unless the deployment timeline accounts for OpenAI’s announced deprecation schedule. Teams comparing image generation with broader multimodal application design may also review Gemini 2.5 Flash workflows for cross-model planning context.
How Does GPT Image 1 Mini Compare to GPT Image 1 and GPT Image 2?
| Comparison Area | GPT Image 1 Mini | GPT Image 1 | GPT Image 2 | Scenario Fit |
|---|---|---|---|---|
| Provider | OpenAI | OpenAI | OpenAI | Same provider family |
| Model Type | Cost-efficient GPT Image variant | GPT Image model | Newer GPT Image model | Compare by cost, quality, and lifecycle needs |
| Input Modalities | Text and image input | Text and image input | GPT Image workflow support | Verify endpoint and model requirements before deployment |
| Output Modality | Image | Image | Image | All are image-generation-oriented |
| Text Token Input Pricing | \$2.00 per 1M tokens | \$5.00 per 1M tokens | Pricing differs by model and should be checked before deployment | Mini may fit cost-sensitive workloads |
| Image Token Output Pricing | \$8.00 per 1M tokens | \$40.00 per 1M tokens | Pricing differs by model and should be checked before deployment | Mini has lower listed output-token pricing than GPT Image 1 |
| 1024×1024 Medium Example | \$0.011 per image | \$0.042 per image | OpenAI lists different GPT Image 2 pricing examples | Mini may fit high-volume drafts |
| Lifecycle Status | Deprecated; scheduled for API removal on December 1, 2026 | Older GPT Image model | Recommended replacement for deprecated GPT Image models | GPT Image 2 is more relevant for new long-term projects |
For OpenAI model-selection research beyond image generation, teams may also compare cost-sensitive multimodal routing patterns with GPT-4o Mini, although GPT-4o Mini is not a direct image-generation replacement for GPT Image 1 Mini.
OpenAI’s documentation lists GPT Image 1 Mini with lower token and per-image pricing than GPT Image 1, while the deprecation page names GPT Image 2 as the recommended replacement for gpt-image-1-mini. This comparison is scenario-qualified and does not make a universal quality ranking.
How Do I Access GPT Image 1 Mini Through Gate.AI?
The Gate.AI model-card lists GPT Image 1 Mini with the model ID openai/gpt-image-1-mini. Gate.AI documentation describes an OpenAI-compatible API configuration with the base URL https://api.gate.ai/openai/v1 and Gate.AI API-key authentication for supported model routing.
Gate.AI access for GPT Image 1 Mini is represented in the Gate.AI model-card, but the public documentation reviewed for this article did not fully confirm executable image-generation request syntax for this specific model through Gate.AI. For that reason, this page does not include Gate.AI-specific executable Python or curl examples for image generation.
For direct OpenAI API use, OpenAI documents image generation through the Image API. The generation endpoint creates images from text prompts and returns base64-encoded image data in the response.
Python Example
from openai import OpenAIimport base64import osclient = OpenAI(api_key=os.environ["OPENAI_API_KEY"])result = client.images.generate(model="gpt-image-1-mini",prompt="Create a clean product concept image of a reusable water bottle on a white background.")image_base64 = result.data[0].b64_jsonimage_bytes = base64.b64decode(image_base64)with open("gpt-image-1-mini-output.png", "wb") as f:f.write(image_bytes)
curl Example
curl -X POST "https://api.openai.com/v1/images/generations" \-H "Authorization: Bearer $OPENAI_API_KEY" \-H "Content-Type: application/json" \-d '{"model": "gpt-image-1-mini","prompt": "Create a clean product concept image of a reusable water bottle on a white background."}' | jq -r '.data[0].b64_json' | base64 --decode > gpt-image-1-mini-output.png
FAQs
What is GPT Image 1 Mini?
GPT Image 1 Mini is OpenAI’s cost-efficient GPT Image model for text-and-image input and image output. It is designed for image generation and editing workflows where lower cost is important.
How much does GPT Image 1 Mini cost?
As of July 2026, OpenAI lists \$2.00 per 1M text input tokens, \$2.50 per 1M image input tokens, \$0.20 per 1M cached text input tokens, \$0.25 per 1M cached image input tokens, and \$8.00 per 1M output tokens.
Does GPT Image 1 Mini support image input?
Yes. OpenAI lists text and image as supported inputs for GPT Image 1 Mini. The model produces image outputs and does not support audio or video modalities as of July 2026.
Is GPT Image 1 Mini recommended for new long-term projects?
Use caution. OpenAI lists gpt-image-1-mini for API removal on December 1, 2026, with gpt-image-2 as the recommended replacement. New long-term deployments should evaluate migration requirements first.


