xAI
Grok Imagine Quality
xAI’s image-generation model on the quality serving tier — photorealistic output with edit and extend tools.
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)
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 keycurl 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."}]
}'import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.x.ai/v1",
api_key=os.environ["XAI_API_KEY"],
)
resp = client.chat.completions.create(
model="grok-imagine-1",
messages=[{"role": "user", "content": "Refactor this function for O(n) time and explain the change."}],
)
print(resp.choices[0].message.content)const res = await fetch("https://api.x.ai/v1/chat/completions", {
method: "POST",
headers: {
Authorization: `Bearer ${process.env.XAI_API_KEY}`,
"content-type": "application/json",
},
body: JSON.stringify({
model: "grok-imagine-1",
messages: [{ role: "user", content: "Refactor this function for O(n) time and explain the change." }],
}),
});
console.log((await res.json()).choices[0].message.content);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
Scores by Source
Category Scores
Benchmark Results
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
GitHub Markdown badge
Loading badge markdown...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
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