Jamba 1.5 Mini vs Deepgram Nova 3

Compare Jamba 1.5 Mini 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 AI21 models All Deepgram models What is an LLM API? Python Quickstart What is inference?
Feature Jamba 1.5 Mini Deepgram Nova 3
CategoryCompactSpeech
Parameters52B (12B active)~1B
Context Window256KStreaming
Input Price$0.02/1M tokens$0.004/min/1M tokens
Output Price$0.04/1M tokensN/A/1M tokens
Latency~200ms~100ms

Choose Jamba 1.5 Mini when:

  • ✓ Long document Q&A
  • ✓ Budget apps
  • ✓ Summarization
Key Strengths:

256K context, Low cost, SSM efficiency

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 Mini 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 Mini excels at Long document 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

Jamba 1.5 Mini costs $0.02/1M input tokens and $0.04/1M output tokens. Deepgram Nova 3 costs $0.004/min input and N/A output. Deepgram Nova 3 is 5.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Jamba 1.5 Mini has a 256K context window with ~200ms latency. Deepgram Nova 3 offers Streaming context at ~100ms. Both have identical context windows.

Best For

Jamba 1.5 Mini (Compact) is optimized for: Long document Q&A, Budget apps, Summarization. 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 Mini
response_a = client.chat.completions.create(
    model="jamba-1-5-mini",
    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 Mini or Deepgram Nova 3?

Jamba 1.5 Mini (Compact, 52B (12B active)) offers 256K context. Deepgram Nova 3 (Speech, ~1B) offers Ultra-low latency. Choose Jamba 1.5 Mini for Long document Q&A or Deepgram Nova 3 for Real-time transcription.

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

Jamba 1.5 Mini: $0.02/1M input, $0.04/1M 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 Mini and Deepgram Nova 3 by changing the model parameter. No code changes needed.

Related Comparisons

Jamba 1.5 Mini vs GPT-4.1 Nano Jamba 1.5 Mini vs GPT-4o Mini Jamba 1.5 Mini vs Whisper Large V3 Jamba 1.5 Mini vs Claude Haiku 3.5 Jamba 1.5 Mini vs Gemma 3 12B Jamba 1.5 Mini vs Gemma 3 4B

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