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Quick Answer

  • gpt-image-2.5-flare-vip supports Text-to-Video, Image-to-Video, R2V, and Video Edit in one workflow.
  • Use this model guide page to validate parameters with minimal request/response examples.
  • Stabilize prompts here first, then move to production API integration.

Key Parameters

  • model | string | required | gpt-image-2.5-flare-vip | - | Model identifier. Use the fixed value `gpt-image-2.5-flare-vip`.
  • prompt | string | required | - | - | Main instruction describing the subject, action, scene, and style.
  • aspect_ratio | string | optional | 16:9 | 16:9 | 9:16 | 1:1 | Video aspect ratio. Defaults to `16:9`; supports `16:9 | 9:16 | 1:1`.
  • duration | integer | optional | 6 | 5 | 10 | 15 | 20 | Output duration in seconds. Defaults to `6`; supports `5 | 10 | 15 | 20`.
  • resolution | string | optional | 720P | 720P | Output resolution. Defaults to `720P`; supports `720P`.

Common Errors

  • 400 invalid_request_error: trigger=Request payload misses required fields or has invalid field types.; fix=Validate model, mode, and input schema before request.; retry=Retry only after fixing payload; avoid blind retries.
  • 401 authentication_error: trigger=Missing Authorization header or invalid API key.; fix=Verify Bearer token format and API key scope.; retry=Retry after auth fix; rotate key if repeated failures continue.
  • 429 rate_limit_exceeded: trigger=Request rate, concurrency, or current quota hits upstream rate limiting.; fix=Apply exponential backoff first, then review request rate, concurrency, and quota usage.; retry=Use exponential backoff (e.g., 1s/2s/4s) with jitter; if it persists, reduce submission pressure.
  • 500 internal_error: trigger=Transient upstream error or internal processing failure.; fix=Capture request id and trigger retry workflow.; retry=Retry 2-3 times with short delays; escalate if persistent.

gpt-image-2.5-flare-vip

gpt-image-2.5-flare-vip is provided by OpenAI with Image / Video capabilities. Current pricing reference: Input 800 credits/1M, Output 4,800 credits/1M. This page helps you understand positioning, parameters, and production-ready use cases before integration.

Model Type:
Pricing: Low
Text input $4/1M total tokens· Cached text input $1/1M total tokens· Image input $6.4/1M total tokens· Cached image input $1.6/1M total tokens· Image output $24/1M total tokens
1

Describe your image

Reference images

Describe the image you want to generate.146 / 1200

Advanced options

Example params
2

Your generated result

Your image result appears here

Sign in to submit a generation task.

View API DocsGet API Key

Generation takes some time. Please wait.You can leave this page. [ Task Logs ] lets you check the generated content directly.

Request preview

{
  "model": "gpt-image-2.5-flare-vip",
  "prompt": "Create a premium product advertising image with gpt-image-2.5-flare-vip: clear subject, natural lighting, polished social-media-ready composition.",
  "size": "1:1",
  "n": 1,
  "metadata": {
    "resolution": "1K",
    "orientation": "square"
  },
  "quality": "high"
}

Transparent pricing

gpt-image-2.5-flare-vip pricing

Image usage is billed according to the current request and resolution rules. Final billing follows the current account quote.

Top up credits

Text input

ToAPIs

$4

1M total tokens

Cached text input

ToAPIs

$1

1M total tokens

Image input

ToAPIs

$6.4

1M total tokens

Cached image input

ToAPIs

$1.6

1M total tokens

Image output

ToAPIs

$24

1M total tokens

Estimated charge · 1K

ToAPIs

$0.003216

image

Estimated charge · 2K

ToAPIs

$0.003528

image

Estimated charge · 4K

ToAPIs

$0.008904

image

Why ToAPIs

Why call gpt-image-2.5-flare-vip through ToAPIs?

Keep image generation, API keys, billing, and usage management in one workflow.

Unified multi-mode testing

Switch across Text-to-Video, Image-to-Video, R2V, and Video Edit in one place.

Parameter-first validation

Iterate quickly on prompts, durations, and references before production rollout.

Production-ready handoff

Minimal request/response structure helps you move stable configs into API workflows.

Connect in three steps

Create a key, send an image request, and review the generated result.

  1. 1

    Step 1

    Fill prompt and key parameters.

  2. 2

    Step 2

    Run, inspect output structure, then iterate.

  3. 3

    Step 3

    Move stable settings into production API.

When to use gpt-image-2.5-flare-vip

Use case 1

When you need fast iteration across multiple generation modes.

Use case 2

When you need to validate parameters and error handling before integration.

FAQ

gpt-image-2.5-flare-vip FAQ

When should I use gpt-image-2.5-flare-vip?

Use it to validate video concepts quickly, compare mode behavior, and converge prompts before API rollout.

How do I choose Text-to-Video vs Image-to-Video?

Use Text-to-Video when you only have instructions; use Image-to-Video when you already have key frames or composition.

What is the difference between R2V and Video Edit?

R2V focuses on reference-guided generation, while Video Edit focuses on modifying existing video assets.

Image or video model error: invalid apitype: -1

This usually means the request was sent to the wrong endpoint. Image and video models typically do not use the chat endpoint. Instead, submit the documented HTTP task request and poll the task status endpoint for results. Check the actual request code, URL, and payload first.

An image or video task failed, but the user was still charged

Ask the user for the task log or screenshot first and check whether input or output token usage appears. If token accounting shows up, the request was likely sent through a chat endpoint instead of the proper media workflow. Image and video models usually run as async HTTP task APIs: submit the task first, then poll by task id according to the relevant docs.

gpt-image-2.5-flare-vip API

Start building with gpt-image-2.5-flare-vip

Test an image request here, then continue in the dashboard or API documentation.

Start for freeView API Docs

Try gpt-image-2.5-flare-vip with one ToAPIs key.

Use one account and API surface for image generation workflows.

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