Model detail
GPT-Image-1.5
OpenAI's GPT Image 1.5 model generates and edits images, with improved adherence to instructions and visual prompts.
Model specs
- Model ID
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gpt-image-1.5
- Context length
- –
- Max output
- –
- I/O modalities
- Released
- 2025-12
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API endpoints
One MixRoute gateway, OpenAI-compatible
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Image generation
/v1/images/generationsPOST -
OpenAI-compatible
/v1/chat/completionsPOST
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Pricing
Flat rate, unit: /1M Tokens
Input
$5.0000 /1M Tokens
Completion
$10.0000 /1M Tokens
Cache read
$1.2500 /1M Tokens
Image input
$8.0000 /1M Tokens
Image completion
$15.0000 /1M Tokens
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Selection summary
Quickly judge whether it fits your workload
What is this model good for?
OpenAI's GPT Image 1.5 model generates and edits images
OpenAI's GPT Image 1.5 model generates and edits images, with improved adherence to instructions and visual prompts.
What should you check before using it?
Confirm output sizes and supported image formats
GPT-Image-1.5 supports streaming, prompt caching, vision input and the OpenAI SDK. Released 2025-12-16. The image input price is $8.0000 per 1M tokens. Test a representative workload before production.
Why use it through MixRoute?
GPT-Image-1.5 takes text and images on one route
Text and image inputs share the same route and the same key. MixRoute serves GPT-Image-1.5 on the OpenAI-compatible endpoint /v1/chat/completions; point your existing client at https://api.mixroute.ai/v1 with the model ID gpt-image-1.5 and re-run your integration tests.
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Capabilities & compatibility
Unconfirmed capabilities stay "Unknown," no guesses
Streaming
GPT-Image-1.5 supports streamed responses.
stream: true streams tokens incrementally, so chat UIs render as they arrive.
Prompt caching
GPT-Image-1.5 supports prompt caching under supported routing conditions.
Vision input
GPT-Image-1.5 can process image inputs alongside text.
image_url content part alongside text messages.
OpenAI SDK
Call GPT-Image-1.5 through MixRoute's OpenAI-compatible endpoint.
base_url to https://api.mixroute.ai/v1; everything else follows the OpenAI style.
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Token cost estimator
Live estimate from this page's pricing, not an actual bill
Share of the same prefix read repeatedly, up to 100%
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FAQ
For gpt-image-1.5, set the max_tokens or max_completion_tokens parameter to control spending per call. Start with a budget aligned to your typical response length and increase only when longer outputs are genuinely needed. Monitor token usage in the API response headers to tune your budget over time.
One endpoint, a testable decision
Test this model and alternate routes with the same request format
Start from a real workload, then let quality, total cost, and failure conditions decide whether to send production traffic.