xAI

Grok Imagine Quality

xAI’s image-generation model on the quality serving tier — photorealistic output with edit and extend tools.

#9released Oct 10, 2026·Proprietary·Not disclosed
textimage128K ctx
Intelligence
92.6 #9
AAQI 93.0
Output Speed
34 t/s
ITL 29.4 ms/tok
Blended price (3:1)
$0.06 /1M
In $0.06/M · Out $0.06/M
Context
128K
≈ 320 A4 pages · max out 4,096

Quality Domain Radar

6-Axis Frontier Evaluation vs Category Average & Flagship

Grok Imagine Quality
Claude Mythos Preview (#1)
Average (68)
Coding (15)Mathematics (15)Hard Science (GPQA) (45)Agentic & Tool Use (28)Knowledge (MMLU) (62)Vision / Multimodal (99)

Radar axes are approximated from category scores where direct benchmark measurements are missing — see Methodology.

Strengths & Trade-offs

Where it wins

  • Top-3 image-arena scores on the quality tier
  • Fast turnaround despite quality sampling
  • Bundled editing tools in one API

Trade-offs to watch

  • X/Grok ecosystem lock-in
  • Fewer style controls than FLUX.2 Pro
  • No open weights or self-hosting

Killer Use Cases

Social & content teams
Fast photorealistic assets inside the X ecosystem.
Iterative editing
Inpaint/extend loops for refining drafts.
Grok-native workflows
Image calls chained with Grok reasoning.

Developer Quickstart & API

Set XAI_API_KEY first — get an API key
curl https://api.x.ai/v1/chat/completions \
  -H "Authorization: Bearer $XAI_API_KEY" \
  -H "content-type: application/json" \
  -d '{
    "model": "grok-imagine-1",
    "messages": [{"role": "user", "content": "Refactor this function for O(n) time and explain the change."}]
  }'

Official Resources & Links

API deployment

Compare hosts & latency

Throughput, TTFT and cache pricing across Groq, Cerebras, Together, DeepInfra, Fireworks, Bedrock and Azure.

GroqCerebrasTogether AIDeepInfraFireworks AIAWS BedrockAzure AI
View providers matrix →

Scores by Source

Head-to-head Live Matchups

Live Specs & Architecture

Under the hood
Grok Imagine — quality-tier image model
  • Quality serving tier — extra sampling steps per render
  • Native edit, inpaint and image-extend endpoints
  • Integrated with the Grok assistant stack
  • Photorealistic people and product rendering
Release date
Oct 10, 2026
Architecture
Grok Imagine — quality-tier image model
Parameters
Not disclosed
License
Proprietary
Context Window
128,000 tokens
Max Output
4,096 tokens
Modalities
text + image
Cache Pricing
read $0.015 · write $0.075 /1M
Reasoning
—
Input Price
$0.06/M
Output Price
$0.06/M
Output Speed
34 t/s
Time to First Token
—
Data Updated
Oct 22, 2026

Estimated monthly bill

Estimated monthly spend
$0.00
Calculating savings vs GPT-4o...

Cite & embed

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BibTeX
@misc{llmpodium2026grokimagineimagequality,
  title = {Benchmark Analysis and Intelligence Evaluation of Grok Imagine Quality},
  author = {LLMPodium Research},
  year = {2026},
  url = {https://llmpodium.com/models/grok-imagine-image-quality}
}

Embed Score Badge

Add a live Podium Score badge to your GitHub or Hugging Face README — it links back to the live ranking.

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Grok Imagine Quality LLMPodium Score
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