Llama 3.1 70B Turbo vs Deepgram Nova 3

Compare Llama 3.1 70B Turbo and Deepgram Nova 3: pricing, performance, context window, latency, and best use cases. Side-by-side comparison on XALEN.

Updated 2026-05-21 · By Abhishek Raj · Our methodology

All Meta models All Deepgram models What is an LLM API? Python Quickstart What is inference?
Feature Llama 3.1 70B Turbo Deepgram Nova 3
CategoryOpen SourceSpeech
Parameters70B~1B
Context Window128KStreaming
Input Price$0.04/1M tokens$0.004/min/1M tokens
Output Price$0.06/1M tokensN/A/1M tokens
Latency~250ms~100ms

Choose Llama 3.1 70B Turbo when:

  • ✓ Production APIs
  • ✓ Fast generation
  • ✓ General purpose
Key Strengths:

Fast inference, Good quality, Well-tested

Choose Deepgram Nova 3 when:

  • ✓ Real-time transcription
  • ✓ Call centers
  • ✓ Meeting notes
Key Strengths:

Ultra-low latency, Streaming native, Very cheap

Verdict: Llama 3.1 70B Turbo vs Deepgram Nova 3

For cost efficiency, Deepgram Nova 3 wins at $0.004/min/1M input tokens. For speed, Deepgram Nova 3 is faster at ~100ms. Llama 3.1 70B Turbo excels at Production APIs while Deepgram Nova 3 is better for Real-time transcription. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.

Detailed Analysis

Pricing Comparison

Llama 3.1 70B Turbo costs $0.04/1M input tokens and $0.06/1M output tokens. Deepgram Nova 3 costs $0.004/min input and N/A output. Deepgram Nova 3 is 10.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Llama 3.1 70B Turbo has a 128K context window with ~250ms latency. Deepgram Nova 3 offers Streaming context at ~100ms. Both have identical context windows.

Best For

Llama 3.1 70B Turbo (Open Source) is optimized for: Production APIs, Fast generation, General purpose. Deepgram Nova 3 (Speech) works best for: Real-time transcription, Call centers, Meeting notes.

Try Both on XALEN

Both models are available through XALEN's OpenAI-compatible API. Switch between them by changing the model parameter:

from xalen import XALEN

client = XALEN(api_key="xln_test_YOUR_KEY")

# Use Llama 3.1 70B Turbo
response_a = client.chat.completions.create(
    model="llama-3-1-70b-turbo",
    messages=[{"role": "user", "content": "Your question here"}]
)

# Use Deepgram Nova 3
response_b = client.chat.completions.create(
    model="deepgram-nova-3",
    messages=[{"role": "user", "content": "Your question here"}]
)

Start Building with XALEN

200+ AI models. One API. Pay-as-you-go.

Get API Key Try in Playground

Frequently Asked Questions

Which is better, Llama 3.1 70B Turbo or Deepgram Nova 3?

Llama 3.1 70B Turbo (Open Source, 70B) offers Fast inference. Deepgram Nova 3 (Speech, ~1B) offers Ultra-low latency. Choose Llama 3.1 70B Turbo for Production APIs or Deepgram Nova 3 for Real-time transcription.

How much does Llama 3.1 70B Turbo cost vs Deepgram Nova 3?

Llama 3.1 70B Turbo: $0.04/1M input, $0.06/1M output. Deepgram Nova 3: $0.004/min/1M input, N/A/1M output. Both available on XALEN with batch processing at 50% discount.

Can I use both models on XALEN?

Yes. XALEN provides 200+ models through a single OpenAI-compatible API. Switch between Llama 3.1 70B Turbo and Deepgram Nova 3 by changing the model parameter. No code changes needed.

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Last updated: 2026-05-21. Pricing and specifications may change. Check pricing page for latest rates.