Skip to content

Model detail

grok-imagine-image-quality

Provided by xAI
Pay-as-you-go Dynamic pricing 2 tiers

An xAI Grok Imagine image-generation variant that accepts text prompts or image inputs and produces images.

Model specs

Model ID
grok-imagine-image-quality
Context length
–
Max output
–
I/O modalities
Released
2026-05

02

API endpoints

One MixRoute gateway, OpenAI-compatible

  • OpenAI-compatible /v1/chat/completions POST
  • OpenAI-compatible /v1/responses POST

03

Tiered pricing

Unit: /unit

Tier Input units /unit Output units /unit
1k res == "1k" $0.0100 $0.0500
2k !(res == "1k") $0.0100 $0.0700

05

Selection summary

Quickly judge whether it fits your workload

What is this model good for?

An xAI Grok Imagine image-generation variant

An xAI Grok Imagine image-generation variant that accepts text prompts or image inputs and produces images.

What should you check before using it?

Confirm output sizes and supported image formats

Model type: image. Verify supported features and quotas with the provider documentation. Released 2026-05-06.

Why use it through MixRoute?

Swap the base URL, keep the grok-imagine-image-quality client

MixRoute serves grok-imagine-image-quality on the OpenAI-compatible endpoint /v1/chat/completions; point your existing client at https://api.mixroute.ai/v1 with the model ID grok-imagine-image-quality and re-run your integration tests.

07

Capabilities & compatibility

Unconfirmed capabilities stay "Unknown," no guesses

Available:

Vision input

grok-imagine-image-quality can process image inputs alongside text.

EX Pass a base64-encoded image in a image_url content part alongside text messages.
Available:

OpenAI SDK

Call grok-imagine-image-quality through MixRoute's OpenAI-compatible endpoint.

EX Change base_url to https://api.mixroute.ai/v1; everything else follows the OpenAI style.

09

FAQ

grok-imagine-image-quality returns up to 10 images per request.

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.