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Kling v3 Omni vs Google Veo 3.1: 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
Video Generation
vs
Replicate
Video Generation
Verdict

Kling v3 Omni and Google Veo 3.1 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

SpecKling v3 OmniGoogle Veo 3.1
ProviderReplicateReplicate
CategoryVideo GenerationVideo Generation
Input cost / 1M tokensn/an/a
Output cost / 1M tokensn/an/a
Context window——
Max output tokens——
Avg. latency120.0s92.0s
FeaturedYesYes
NewYesYes
Capabilities
mp4
mp4

Pricing example

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

Kling v3 Omni
n/a

100K in × n/a + 50K out × n/a

Google Veo 3.1
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 Kling v3 Omni
let r = await client.chat.completions.create({
  model: "kwaivgi/kling-v3-omni-video",
  messages: [{ role: "user", content: "Hello" }],
});

// After — switched to Google Veo 3.1
r = await client.chat.completions.create({
  model: "google/veo-3.1",
  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 Kling v3 Omni
r = client.chat.completions.create(
    model="kwaivgi/kling-v3-omni-video",
    messages=[{"role": "user", "content": "Hello"}],
)

# After — switched to Google Veo 3.1
r = client.chat.completions.create(
    model="google/veo-3.1",
    messages=[{"role": "user", "content": "Hello"}],
)
cURL
# Before — using Kling v3 Omni
curl https://railwail.com/v1/chat/completions \
  -H "Authorization: Bearer $RAILWAIL_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "kwaivgi/kling-v3-omni-video",
    "messages": [{"role": "user", "content": "Hello"}]
  }'

# After — switched to Google Veo 3.1
curl https://railwail.com/v1/chat/completions \
  -H "Authorization: Bearer $RAILWAIL_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "google/veo-3.1",
    "messages": [{"role": "user", "content": "Hello"}]
  }'

Which one wins for...

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

Coding
Kling v3 Omni

Higher coding category match or larger context wins.

Writing
Kling v3 Omni

Bigger context window helps maintain long-form coherence.

Long documents
Kling v3 Omni

The larger context window is the deciding factor.

Vision
Tie

Multimodal/vision support is required for image inputs.

Real-time chat
Google Veo 3.1

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, Kling v3 Omni or Google Veo 3.1?
Kling v3 Omni and Google Veo 3.1 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, Kling v3 Omni or Google Veo 3.1?
Kling v3 Omni and Google Veo 3.1 have similar context windows (— vs —).
Is Kling v3 Omni better than Google Veo 3.1 for coding?
For coding-heavy workloads we lean toward Kling v3 Omni 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 Kling v3 Omni and Google Veo 3.1 via Railwail?
Yes. Both Kling v3 Omni and Google Veo 3.1 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 Kling v3 Omni to Google Veo 3.1?
Replace the model identifier "kwaivgi/kling-v3-omni-video" with "google/veo-3.1" 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 Kling v3 Omni and Google Veo 3.1 side by side

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

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