Qwen 3 30B vs Jamba 1.5 Large

Compare Qwen 3 30B and Jamba 1.5 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 Qwen 3 30B Jamba 1.5 Large
CategoryOpen SourceEnterprise
Parameters30B398B (94B active)
Context Window128K256K
Input Price$0.03/1M tokens$0.08/1M tokens
Output Price$0.05/1M tokens$0.14/1M tokens
Latency~200ms~500ms

Choose Qwen 3 30B when:

  • ✓ Cost-sensitive chatbots
  • ✓ Regional apps
  • ✓ Batch
Key Strengths:

Compact, Strong Indic languages, Cost-efficient

Choose Jamba 1.5 Large when:

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

256K context, SSM-Transformer hybrid, Good summarization

Verdict: Qwen 3 30B vs Jamba 1.5 Large

For cost efficiency, Qwen 3 30B wins at $0.03/1M input tokens. For speed, Qwen 3 30B is faster at ~200ms. Qwen 3 30B excels at Cost-sensitive chatbots while Jamba 1.5 Large is better for Full text processing. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.

Detailed Analysis

Pricing Comparison

Qwen 3 30B costs $0.03/1M input tokens and $0.05/1M output tokens. Jamba 1.5 Large costs $0.08 input and $0.14 output. Qwen 3 30B is 2.7x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Qwen 3 30B has a 128K context window with ~200ms latency. Jamba 1.5 Large offers 256K context at ~500ms. Jamba 1.5 Large has the larger context window.

Best For

Qwen 3 30B (Open Source) is optimized for: Cost-sensitive chatbots, Regional apps, Batch. Jamba 1.5 Large (Enterprise) works best for: Full text processing, Comprehensive reports, Long analysis.

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 Qwen 3 30B
response_a = client.chat.completions.create(
    model="qwen-3-30b",
    messages=[{"role": "user", "content": "Your question here"}]
)

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

Start Building with XALEN

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Get API Key Try in Playground

Frequently Asked Questions

Which is better, Qwen 3 30B or Jamba 1.5 Large?

Qwen 3 30B (Open Source, 30B) offers Compact. Jamba 1.5 Large (Enterprise, 398B (94B active)) offers 256K context. Choose Qwen 3 30B for Cost-sensitive chatbots or Jamba 1.5 Large for Full text processing.

How much does Qwen 3 30B cost vs Jamba 1.5 Large?

Qwen 3 30B: $0.03/1M input, $0.05/1M output. Jamba 1.5 Large: $0.08/1M input, $0.14/1M 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 Qwen 3 30B and Jamba 1.5 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.