Deepgram Nova-3 vs SeamlessM4T: Which AI Model Should You Choose?

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

xAI
Speech-to-Text
vs
Replicate
Speech-to-Text
Verdict

Deepgram Nova-3 and SeamlessM4T are closely matched on pricing and context. The right choice depends on your specific workload β€” see the table below for the full breakdown.

Side-by-side specs

SpecDeepgram Nova-3SeamlessM4T
ProviderxAIReplicate
CategorySpeech-to-TextSpeech-to-Text
Input cost / 1M tokensn/an/a
Output cost / 1M tokensn/an/a
Context windowβ€”β€”
Max output tokensβ€”β€”
Avg. latencyβ€”β€”
Featuredβ€”β€”
Newβ€”β€”
Capabilities
audio
audio

Pricing example

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

Deepgram Nova-3
n/a

100K in Γ— n/a + 50K out Γ— n/a

SeamlessM4T
n/a

100K in Γ— n/a + 50K out Γ— 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 β€” using Deepgram Nova-3
let r = await client.chat.completions.create({
  model: "nova-3",
  messages: [{ role: "user", content: "Hello" }],
});

// After β€” switched to SeamlessM4T
r = await client.chat.completions.create({
  model: "cjwbw/seamless_communication",
  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 β€” using Deepgram Nova-3
r = client.chat.completions.create(
    model="nova-3",
    messages=[{"role": "user", "content": "Hello"}],
)

# After β€” switched to SeamlessM4T
r = client.chat.completions.create(
    model="cjwbw/seamless_communication",
    messages=[{"role": "user", "content": "Hello"}],
)
cURL
# Before β€” using Deepgram Nova-3
curl https://railwail.com/v1/chat/completions \
  -H "Authorization: Bearer $RAILWAIL_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "nova-3",
    "messages": [{"role": "user", "content": "Hello"}]
  }'

# After β€” switched to SeamlessM4T
curl https://railwail.com/v1/chat/completions \
  -H "Authorization: Bearer $RAILWAIL_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "cjwbw/seamless_communication",
    "messages": [{"role": "user", "content": "Hello"}]
  }'

Which one wins for...

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

Coding
Deepgram Nova-3

Higher coding category match or larger context wins.

Writing
Deepgram Nova-3

Bigger context window helps maintain long-form coherence.

Long documents
Deepgram Nova-3

The larger context window is the deciding factor.

Vision
Tie

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, Deepgram Nova-3 or SeamlessM4T?
Deepgram Nova-3 and SeamlessM4T 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, Deepgram Nova-3 or SeamlessM4T?
Deepgram Nova-3 and SeamlessM4T have similar context windows (β€” vs β€”).
Is Deepgram Nova-3 better than SeamlessM4T for coding?
For coding-heavy workloads we lean toward Deepgram Nova-3 on this comparison β€” 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 Deepgram Nova-3 and SeamlessM4T via Railwail?
Yes. Both Deepgram Nova-3 and SeamlessM4T 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 β€” no SDK swap, no separate billing.
How do I switch from Deepgram Nova-3 to SeamlessM4T?
Replace the model identifier "nova-3" with "cjwbw/seamless_communication" in your request payload. Everything else β€” API key, base URL, request shape β€” stays the same. See the code example on this page for the exact one-line change.

Try Deepgram Nova-3 and SeamlessM4T side by side

One API key, one endpoint, both models. Start free β€” no credit card required.