Jamba 1.5 Large vs Jamba 1.5 Mini

Compare Jamba 1.5 Large and Jamba 1.5 Mini: 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 Jamba 1.5 Mini
CategoryEnterpriseCompact
Parameters398B (94B active)52B (12B active)
Context Window256K256K
Input Price$0.08/1M tokens$0.02/1M tokens
Output Price$0.14/1M tokens$0.04/1M tokens
Latency~500ms~200ms

Choose Jamba 1.5 Large when:

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

256K context, SSM-Transformer hybrid, Good summarization

Choose Jamba 1.5 Mini when:

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

256K context, Low cost, SSM efficiency

Verdict: Jamba 1.5 Large vs Jamba 1.5 Mini

For cost efficiency, Jamba 1.5 Mini wins at $0.02/1M input tokens. For speed, Jamba 1.5 Mini is faster at ~200ms. Jamba 1.5 Large excels at Full text processing while Jamba 1.5 Mini is better for Long document Q&A. 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. Jamba 1.5 Mini costs $0.02 input and $0.04 output. Jamba 1.5 Mini is 4.0x 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. Jamba 1.5 Mini offers 256K context at ~200ms. Both have identical context windows.

Best For

Jamba 1.5 Large (Enterprise) is optimized for: Full text processing, Comprehensive reports, Long analysis. Jamba 1.5 Mini (Compact) works best for: Long document Q&A, Budget apps, Summarization.

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 Jamba 1.5 Mini
response_b = client.chat.completions.create(
    model="jamba-1-5-mini",
    messages=[{"role": "user", "content": "Your question here"}]
)

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Get API Key Try in Playground

Frequently Asked Questions

Which is better, Jamba 1.5 Large or Jamba 1.5 Mini?

Jamba 1.5 Large (Enterprise, 398B (94B active)) offers 256K context. Jamba 1.5 Mini (Compact, 52B (12B active)) offers 256K context. Choose Jamba 1.5 Large for Full text processing or Jamba 1.5 Mini for Long document Q&A.

How much does Jamba 1.5 Large cost vs Jamba 1.5 Mini?

Jamba 1.5 Large: $0.08/1M input, $0.14/1M output. Jamba 1.5 Mini: $0.02/1M input, $0.04/1M 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 Jamba 1.5 Mini 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.