Jamba 1.5 Large vs Amazon Nova Micro

Compare Jamba 1.5 Large and Amazon Nova Micro: 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 Amazon Nova Micro
CategoryEnterpriseCompact
Parameters398B (94B active)~8B
Context Window256K128K
Input Price$0.08/1M tokens$0.001/1M tokens
Output Price$0.14/1M tokens$0.004/1M tokens
Latency~500ms~50ms

Choose Jamba 1.5 Large when:

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

256K context, SSM-Transformer hybrid, Good summarization

Choose Amazon Nova Micro when:

  • ✓ Classification
  • ✓ Intent detection
  • ✓ Preprocessing
Key Strengths:

Cheapest inference, Ultra-fast, Text-only

Verdict: Jamba 1.5 Large vs Amazon Nova Micro

For cost efficiency, Amazon Nova Micro wins at $0.001/1M input tokens. For speed, Jamba 1.5 Large is faster at ~500ms. Jamba 1.5 Large excels at Full text processing while Amazon Nova Micro is better for Classification. 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. Amazon Nova Micro costs $0.001 input and $0.004 output. Amazon Nova Micro is 80.0x 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. Amazon Nova Micro offers 128K context at ~50ms. Jamba 1.5 Large has the larger context window.

Best For

Jamba 1.5 Large (Enterprise) is optimized for: Full text processing, Comprehensive reports, Long analysis. Amazon Nova Micro (Compact) works best for: Classification, Intent detection, Preprocessing.

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 Amazon Nova Micro
response_b = client.chat.completions.create(
    model="amazon-nova-micro",
    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 Amazon Nova Micro?

Jamba 1.5 Large (Enterprise, 398B (94B active)) offers 256K context. Amazon Nova Micro (Compact, ~8B) offers Cheapest inference. Choose Jamba 1.5 Large for Full text processing or Amazon Nova Micro for Classification.

How much does Jamba 1.5 Large cost vs Amazon Nova Micro?

Jamba 1.5 Large: $0.08/1M input, $0.14/1M output. Amazon Nova Micro: $0.001/1M input, $0.004/1M 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 Amazon Nova Micro 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.