Llama 3.3 70B vs Deepgram Nova 3

Compare Llama 3.3 70B 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

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Feature Llama 3.3 70B 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~300ms~100ms

Choose Llama 3.3 70B when:

  • ✓ General Q&A
  • ✓ Hindi chatbots
  • ✓ Content generation
Key Strengths:

Proven reliability, Good Hindi/Tamil, 128K context

Choose Deepgram Nova 3 when:

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

Ultra-low latency, Streaming native, Very cheap

Verdict: Llama 3.3 70B 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 3.3 70B excels at General Q&A 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 3.3 70B 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 3.3 70B has a 128K context window with ~300ms latency. Deepgram Nova 3 offers Streaming context at ~100ms. Both have identical context windows.

Best For

Llama 3.3 70B (Open Source) is optimized for: General Q&A, Hindi chatbots, Content generation. 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 3.3 70B
response_a = client.chat.completions.create(
    model="llama-3-3-70b",
    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

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Get API Key Try in Playground

Frequently Asked Questions

Which is better, Llama 3.3 70B or Deepgram Nova 3?

Llama 3.3 70B (Open Source, 70B) offers Proven reliability. Deepgram Nova 3 (Speech, ~1B) offers Ultra-low latency. Choose Llama 3.3 70B for General Q&A or Deepgram Nova 3 for Real-time transcription.

How much does Llama 3.3 70B cost vs Deepgram Nova 3?

Llama 3.3 70B: $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 3.3 70B 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.