Jamba 1.5 Mini vs Arctic Large

Compare Jamba 1.5 Mini and Arctic Large: 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 Mini Arctic Large
CategoryCompactEnterprise
Parameters52B (12B active)480B (17B active)
Context Window256K128K
Input Price$0.02/1M tokens$0.06/1M tokens
Output Price$0.04/1M tokens$0.10/1M tokens
Latency~200ms~400ms

Choose Jamba 1.5 Mini when:

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

256K context, Low cost, SSM efficiency

Choose Arctic Large when:

  • ✓ Data analysis
  • ✓ SQL generation
  • ✓ Business intelligence
Key Strengths:

Strong SQL, Data analysis, Enterprise features

Verdict: Jamba 1.5 Mini vs Arctic Large

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 Mini excels at Long document Q&A while Arctic Large is better for Data analysis. 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. Arctic Large costs $0.06 input and $0.10 output. Jamba 1.5 Mini is 3.0x 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. Arctic Large offers 128K context at ~400ms. Jamba 1.5 Mini has the larger context window.

Best For

Jamba 1.5 Mini (Compact) is optimized for: Long document Q&A, Budget apps, Summarization. Arctic Large (Enterprise) works best for: Data analysis, SQL generation, Business intelligence.

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 Arctic Large
response_b = client.chat.completions.create(
    model="arctic-large",
    messages=[{"role": "user", "content": "Your question here"}]
)

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Frequently Asked Questions

Which is better, Jamba 1.5 Mini or Arctic Large?

Jamba 1.5 Mini (Compact, 52B (12B active)) offers 256K context. Arctic Large (Enterprise, 480B (17B active)) offers Strong SQL. Choose Jamba 1.5 Mini for Long document Q&A or Arctic Large for Data analysis.

How much does Jamba 1.5 Mini cost vs Arctic Large?

Jamba 1.5 Mini: $0.02/1M input, $0.04/1M output. Arctic Large: $0.06/1M input, $0.10/1M 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 Arctic Large 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.