Jamba 1.5 Large vs Deepgram Nova 3

Compare Jamba 1.5 Large 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 Jamba 1.5 Large Deepgram Nova 3
CategoryEnterpriseSpeech
Parameters398B (94B active)~1B
Context Window256KStreaming
Input Price$0.08/1M tokens$0.004/min/1M tokens
Output Price$0.14/1M tokensN/A/1M tokens
Latency~500ms~100ms

Choose Jamba 1.5 Large when:

  • ✓ Full text processing
  • ✓ Comprehensive reports
  • ✓ Long analysis
Key Strengths:

256K context, SSM-Transformer hybrid, Good summarization

Choose Deepgram Nova 3 when:

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

Ultra-low latency, Streaming native, Very cheap

Verdict: Jamba 1.5 Large 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. Jamba 1.5 Large excels at Full text processing 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

Jamba 1.5 Large costs $0.08/1M input tokens and $0.14/1M output tokens. Deepgram Nova 3 costs $0.004/min input and N/A output. Deepgram Nova 3 is 20.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Jamba 1.5 Large has a 256K context window with ~500ms latency. Deepgram Nova 3 offers Streaming context at ~100ms. Both have identical context windows.

Best For

Jamba 1.5 Large (Enterprise) is optimized for: Full text processing, Comprehensive reports, Long analysis. 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 Jamba 1.5 Large
response_a = client.chat.completions.create(
    model="jamba-1-5-large",
    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, Jamba 1.5 Large or Deepgram Nova 3?

Jamba 1.5 Large (Enterprise, 398B (94B active)) offers 256K context. Deepgram Nova 3 (Speech, ~1B) offers Ultra-low latency. Choose Jamba 1.5 Large for Full text processing or Deepgram Nova 3 for Real-time transcription.

How much does Jamba 1.5 Large cost vs Deepgram Nova 3?

Jamba 1.5 Large: $0.08/1M input, $0.14/1M 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 Jamba 1.5 Large 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.