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ElevenLabs Multilingual V2 vs Kokoro TTS 82M: 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.

ElevenLabs
Text-to-Speech
vs
Replicate
Text-to-Speech
Verdict

ElevenLabs Multilingual V2 and Kokoro TTS 82M 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

SpecElevenLabs Multilingual V2Kokoro TTS 82M
ProviderElevenLabsReplicate
CategoryText-to-SpeechText-to-Speech
Input cost / 1M tokensn/an/a
Output cost / 1M tokensn/an/a
Context window——
Max output tokens——
Avg. latency3.0s—
FeaturedYes—
New——
Capabilities
mp3
text

Pricing example

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

ElevenLabs Multilingual V2
n/a

100K in × n/a + 50K out × n/a

Kokoro TTS 82M
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 ElevenLabs Multilingual V2
let r = await client.chat.completions.create({
  model: "eleven_multilingual_v2",
  messages: [{ role: "user", content: "Hello" }],
});

// After — switched to Kokoro TTS 82M
r = await client.chat.completions.create({
  model: "jaaari/kokoro-82m",
  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 ElevenLabs Multilingual V2
r = client.chat.completions.create(
    model="eleven_multilingual_v2",
    messages=[{"role": "user", "content": "Hello"}],
)

# After — switched to Kokoro TTS 82M
r = client.chat.completions.create(
    model="jaaari/kokoro-82m",
    messages=[{"role": "user", "content": "Hello"}],
)
cURL
# Before — using ElevenLabs Multilingual V2
curl https://railwail.com/v1/chat/completions \
  -H "Authorization: Bearer $RAILWAIL_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "eleven_multilingual_v2",
    "messages": [{"role": "user", "content": "Hello"}]
  }'

# After — switched to Kokoro TTS 82M
curl https://railwail.com/v1/chat/completions \
  -H "Authorization: Bearer $RAILWAIL_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "jaaari/kokoro-82m",
    "messages": [{"role": "user", "content": "Hello"}]
  }'

Which one wins for...

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

Coding
ElevenLabs Multilingual V2

Higher coding category match or larger context wins.

Writing
ElevenLabs Multilingual V2

Bigger context window helps maintain long-form coherence.

Long documents
ElevenLabs Multilingual V2

The larger context window is the deciding factor.

Vision
Tie

Multimodal/vision support is required for image inputs.

Real-time chat
ElevenLabs Multilingual V2

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, ElevenLabs Multilingual V2 or Kokoro TTS 82M?
ElevenLabs Multilingual V2 and Kokoro TTS 82M 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, ElevenLabs Multilingual V2 or Kokoro TTS 82M?
ElevenLabs Multilingual V2 and Kokoro TTS 82M have similar context windows (— vs —).
Is ElevenLabs Multilingual V2 better than Kokoro TTS 82M for coding?
For coding-heavy workloads we lean toward ElevenLabs Multilingual V2 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 ElevenLabs Multilingual V2 and Kokoro TTS 82M via Railwail?
Yes. Both ElevenLabs Multilingual V2 and Kokoro TTS 82M 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 ElevenLabs Multilingual V2 to Kokoro TTS 82M?
Replace the model identifier "eleven_multilingual_v2" with "jaaari/kokoro-82m" 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 ElevenLabs Multilingual V2 and Kokoro TTS 82M side by side

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

Get Started FreeView ElevenLabs Multilingual V2View Kokoro TTS 82M