Grok Imagine Image Quality

xAI image generation Deprecated 2d ago
Heads-up: xAI has scheduled Grok Imagine Image Quality for deprecation on Nov 2, 2026. Plan a migration. Use Agent Command Center's model fallback routing to swap models without code changes.

Grok Imagine Image Quality is a xAI image generation model. Route Grok Imagine Image Quality via Future AGI's Agent Command Center for unified observability, caching, and 15 routing strategies including cost-optimized fallback.

Pricing source: litellm Last verified: Oct 22, 2026 View source ↗
Cost calculator

Estimate Grok Imagine Image Quality spend

Pick a workload, fine-tune the sliders, and see the monthly bill.

~3K in / ~400 out · 5K req/day
3,000
0200,000
400
016,000
5,000
01,000,000
Per request
$0.000000
in $0.000000 · out $0.000000
Per day
$0.000000
5,000 requests
Per month
$0.000000
152,188 requests

Estimate uses $0.000000/M input · $0.000000/M output. Provider pricing changes. Production costs vary with retries, streaming overhead, and tool-call rounds.
Want this for free? Cache + route via Agent Command Center — first 100K requests and 100K cache hits free every month.

Pricing

Per-token rates, expressed in USD per 1M tokens. Verified Oct 22, 2026.

Input —
Output —
Per image $0.0500

Context & limits

Context window
—
Max input
—
Max output
—
Modalities
image, text

Capabilities

  • Function calling — not advertised
  • Parallel tool calls — not advertised
  • Vision input — not advertised
  • Audio input — not advertised
  • Audio output — not advertised
  • PDF input — not advertised
  • Streaming ✓ supported
  • Structured output — not advertised
  • Prompt caching — not advertised
  • Reasoning — not advertised

Strengths & caveats — when to pick Grok Imagine Image Quality

Data-driven from Grok Imagine Image Quality's percentile within image generation peers.

Where it's strong

Watch out for

  • !already deprecated — provider stopped accepting new traffic 2 days ago

Benchmarks pending

We haven't logged public benchmark scores for Grok Imagine Image Quality yet. Have one to contribute? Submit a source — citations help us prioritise.

Try it

Call Grok Imagine Image Quality via Agent Command Center

One OpenAI-compatible endpoint. Routing, fallback, semantic caching, guardrails, and cost tracking come along for the ride. First 100K requests + 100K cache hits free every month.

SDK
Native Future AGI client (agentcc / @agentcc/client). Per-call metadata — provider, cost, latency, cache hit, request id — is returned on x-agentcc-* response headers, so any HTTP client can read it.
# Grok Imagine Image Quality via the Agent Command Center Python SDK
# pip install agentcc
import os
from agentcc import AgentCC

client = AgentCC(
    api_key=os.environ["AGENTCC_API_KEY"],   # from app.futureagi.com → Settings → API Keys
    base_url="https://gateway.futureagi.com/v1",
)

resp = client.chat.completions.create(
    model="xai/grok-imagine-image-quality",
    messages=[{"role": "user", "content": "Hello, Grok Imagine Image Quality!"}],
)

print(resp.choices[0].message.content)
print(f"Tokens: {resp.usage.total_tokens}")

# Per-call gateway metadata is returned on x-agentcc-* response headers.
# When you need it programmatically, use .with_raw_response to get them:
raw = client.chat.completions.with_raw_response.create(
    model="xai/grok-imagine-image-quality",
    messages=[{"role": "user", "content": "Same call, but I want the headers."}],
)
print("Provider:", raw.headers.get("x-agentcc-provider"))
print("Latency:", raw.headers.get("x-agentcc-latency-ms"), "ms")
print("Cost:   ", raw.headers.get("x-agentcc-cost"), "USD")
print("Cache:  ", raw.headers.get("x-agentcc-cache"))
Set AGENTCC_API_KEY with a key fromapp.futureagi.com.Gateway docs ↗

Explore similar models

Grok Imagine Image Quality doesn't have a public Arena ELO score yet, so we group by provider only — quality-tier comparisons need a benchmark. Side-by-side links appear where a comparison page exists; otherwise, open the model profile.

FAQ

How much does Grok Imagine Image Quality cost?

Input is priced at $0.000000 per 1M tokens and output at $0.000000 per 1M tokens (xAI, last verified Oct 22, 2026).

What is the context window of Grok Imagine Image Quality?

Context window for Grok Imagine Image Quality is not currently public.

Does Grok Imagine Image Quality support function calling?

Grok Imagine Image Quality does not currently advertise function-calling support. For agentic workloads, prefer a tool-calling-capable model and route via Agent Command Center for fallback.

Is Grok Imagine Image Quality good for production?

Grok Imagine Image Quality is best evaluated against your own production traces. Pipe traffic through Agent Command Center to compare it head-to-head against alternatives in shadow mode.

How can I route to Grok Imagine Image Quality with fallback?

Use Agent Command Center: a single OpenAI-compatible endpoint that supports cost-optimized routing, latency-aware retries, model fallback, and shadow traffic. Configure once, swap models without app changes.

Useful links for Grok Imagine Image Quality

Official sources, independent benchmarks, and pricing aggregators — no random search-engine guesses.