Google Imagen 4 vs Professional Headshot (FLUX Kontext): Which AI Model Should You Choose?

Pricing, context windows, latency, capabilities, and a one-line code switch — everything you need to pick the right model.

Replicate
Image Generation
vs
Replicate
Image Generation
Verdict

Google Imagen 4 and Professional Headshot (FLUX Kontext) are closely matched on pricing and context. The right choice depends on your specific workload — see the table below for the full breakdown.

Side-by-side specs

SpecGoogle Imagen 4Professional Headshot (FLUX Kontext)
ProviderReplicateReplicate
CategoryImage GenerationImage Generation
Input cost / 1M tokensn/an/a
Output cost / 1M tokensn/an/a
Context window
Max output tokens
Avg. latency
FeaturedYesYes
New
Capabilities
text
image

Pricing example

A typical chat workload of 100,000 input tokens plus 50,000 output tokens.

Google Imagen 4
n/a

100K in × n/a + 50K out × n/a

Professional Headshot (FLUX Kontext)
n/a

100K in × n/a + 50K out × n/a

Switch in one line

Both models live behind Railwail's OpenAI-compatible endpoint. Replace the model string and you are done.

JavaScript / TypeScript
import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.RAILWAIL_API_KEY,
  baseURL: "https://railwail.com/v1",
});

// Before — using Google Imagen 4
let r = await client.chat.completions.create({
  model: "google/imagen-4",
  messages: [{ role: "user", content: "Hello" }],
});

// After — switched to Professional Headshot (FLUX Kontext)
r = await client.chat.completions.create({
  model: "flux-kontext-apps/professional-headshot",
  messages: [{ role: "user", content: "Hello" }],
});
Python
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["RAILWAIL_API_KEY"],
    base_url="https://railwail.com/v1",
)

# Before — using Google Imagen 4
r = client.chat.completions.create(
    model="google/imagen-4",
    messages=[{"role": "user", "content": "Hello"}],
)

# After — switched to Professional Headshot (FLUX Kontext)
r = client.chat.completions.create(
    model="flux-kontext-apps/professional-headshot",
    messages=[{"role": "user", "content": "Hello"}],
)
cURL
# Before — using Google Imagen 4
curl https://railwail.com/v1/chat/completions \
  -H "Authorization: Bearer $RAILWAIL_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "google/imagen-4",
    "messages": [{"role": "user", "content": "Hello"}]
  }'

# After — switched to Professional Headshot (FLUX Kontext)
curl https://railwail.com/v1/chat/completions \
  -H "Authorization: Bearer $RAILWAIL_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "flux-kontext-apps/professional-headshot",
    "messages": [{"role": "user", "content": "Hello"}]
  }'

Which one wins for...

Quick verdicts derived from public specs. Always validate on your own workload.

Coding
Google Imagen 4

Higher coding category match or larger context wins.

Writing
Google Imagen 4

Bigger context window helps maintain long-form coherence.

Long documents
Google Imagen 4

The larger context window is the deciding factor.

Vision
Professional Headshot (FLUX Kontext)

Multimodal/vision support is required for image inputs.

Real-time chat
Tie

Lower average latency wins for interactive UX.

Cost-sensitive
Tie

The model with the lower input-token price wins.

Frequently asked questions

Which is cheaper, Google Imagen 4 or Professional Headshot (FLUX Kontext)?
Google Imagen 4 and Professional Headshot (FLUX Kontext) cannot be compared on per-token price: at least one of them has no per-token price listed (it is priced per run or not yet priced). See each model page for its current price.
Which has more context, Google Imagen 4 or Professional Headshot (FLUX Kontext)?
Google Imagen 4 and Professional Headshot (FLUX Kontext) have similar context windows (— vs —).
Is Google Imagen 4 better than Professional Headshot (FLUX Kontext) for coding?
For coding-heavy workloads we lean toward Google Imagen 4 on this comparison — it scores higher on the relevant heuristics (category, tags, or context window). Both models are usable for code via Railwail's OpenAI-compatible endpoint, so the safest path is to A/B test on your own prompts.
Can I use both Google Imagen 4 and Professional Headshot (FLUX Kontext) via Railwail?
Yes. Both Google Imagen 4 and Professional Headshot (FLUX Kontext) are accessible through a single Railwail API key and the OpenAI-compatible /v1/chat/completions endpoint. You only change the "model" parameter to switch between them — no SDK swap, no separate billing.
How do I switch from Google Imagen 4 to Professional Headshot (FLUX Kontext)?
Replace the model identifier "google/imagen-4" with "flux-kontext-apps/professional-headshot" in your request payload. Everything else — API key, base URL, request shape — stays the same. See the code example on this page for the exact one-line change.

Try Google Imagen 4 and Professional Headshot (FLUX Kontext) side by side

One API key, one endpoint, both models. Start free — no credit card required.