Google Veo 3.1 vs Kling v2.1: 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

Google Veo 3.1 and Kling v2.1 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

SpecGoogle Veo 3.1Kling v2.1
ProviderReplicateReplicate
CategoryVideo GenerationVideo Generation
Input cost / 1M tokensn/an/a
Output cost / 1M tokensn/an/a
Context window——
Max output tokens——
Avg. latency92.0s—
FeaturedYesYes
NewYes—
Capabilities
mp4
text
image

Pricing example

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

Google Veo 3.1
n/a

100K in × n/a + 50K out × n/a

Kling v2.1
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 Google Veo 3.1
let r = await client.chat.completions.create({
  model: "google/veo-3.1",
  messages: [{ role: "user", content: "Hello" }],
});

// After — switched to Kling v2.1
r = await client.chat.completions.create({
  model: "kwaivgi/kling-v2.1",
  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 Google Veo 3.1
r = client.chat.completions.create(
    model="google/veo-3.1",
    messages=[{"role": "user", "content": "Hello"}],
)

# After — switched to Kling v2.1
r = client.chat.completions.create(
    model="kwaivgi/kling-v2.1",
    messages=[{"role": "user", "content": "Hello"}],
)
cURL
# Before — using 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"}]
  }'

# After — switched to Kling v2.1
curl https://railwail.com/v1/chat/completions \
  -H "Authorization: Bearer $RAILWAIL_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "kwaivgi/kling-v2.1",
    "messages": [{"role": "user", "content": "Hello"}]
  }'

Which one wins for...

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

Coding
Google Veo 3.1

Higher coding category match or larger context wins.

Writing
Google Veo 3.1

Bigger context window helps maintain long-form coherence.

Long documents
Google Veo 3.1

The larger context window is the deciding factor.

Vision
Kling v2.1

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, Google Veo 3.1 or Kling v2.1?
Google Veo 3.1 and Kling v2.1 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, Google Veo 3.1 or Kling v2.1?
Google Veo 3.1 and Kling v2.1 have similar context windows (— vs —).
Is Google Veo 3.1 better than Kling v2.1 for coding?
For coding-heavy workloads we lean toward Google Veo 3.1 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 Veo 3.1 and Kling v2.1 via Railwail?
Yes. Both Google Veo 3.1 and Kling v2.1 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 Google Veo 3.1 to Kling v2.1?
Replace the model identifier "google/veo-3.1" with "kwaivgi/kling-v2.1" 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 Google Veo 3.1 and Kling v2.1 side by side

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