NVIDIA Nemotron 70B vs Deepgram Nova 3

Compare NVIDIA Nemotron 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

All NVIDIA models All Deepgram models What is an LLM API? Python Quickstart What is inference?
Feature NVIDIA Nemotron 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 NVIDIA Nemotron 70B when:

  • ✓ Helpful chatbots
  • ✓ Customer service
  • ✓ Q&A
Key Strengths:

Optimized for helpfulness, Strong quality, Good reasoning

Choose Deepgram Nova 3 when:

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

Ultra-low latency, Streaming native, Very cheap

Verdict: NVIDIA Nemotron 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. NVIDIA Nemotron 70B excels at Helpful chatbots 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

NVIDIA Nemotron 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

NVIDIA Nemotron 70B has a 128K context window with ~300ms latency. Deepgram Nova 3 offers Streaming context at ~100ms. Both have identical context windows.

Best For

NVIDIA Nemotron 70B (Open Source) is optimized for: Helpful chatbots, Customer service, Q&A. 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 NVIDIA Nemotron 70B
response_a = client.chat.completions.create(
    model="nvidia-llama-3-1-nemotron-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

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

Get API Key Try in Playground

Frequently Asked Questions

Which is better, NVIDIA Nemotron 70B or Deepgram Nova 3?

NVIDIA Nemotron 70B (Open Source, 70B) offers Optimized for helpfulness. Deepgram Nova 3 (Speech, ~1B) offers Ultra-low latency. Choose NVIDIA Nemotron 70B for Helpful chatbots or Deepgram Nova 3 for Real-time transcription.

How much does NVIDIA Nemotron 70B cost vs Deepgram Nova 3?

NVIDIA Nemotron 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 NVIDIA Nemotron 70B and Deepgram Nova 3 by changing the model parameter. No code changes needed.

Related Comparisons

NVIDIA Nemotron 70B vs Whisper Large V3 NVIDIA Nemotron 70B vs Gemma 3 27B NVIDIA Nemotron 70B vs Llama 4 Scout NVIDIA Nemotron 70B vs Llama 4 Maverick NVIDIA Nemotron 70B vs Llama 3.3 70B NVIDIA Nemotron 70B vs Llama 3.1 405B

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