Qwen 2.5 Coder 32B vs Jamba 1.5 Large

Compare Qwen 2.5 Coder 32B 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 2.5 Coder 32B Jamba 1.5 Large
CategoryCodeEnterprise
Parameters32B398B (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 2.5 Coder 32B when:

  • ✓ Faith-tech code
  • ✓ API development
  • ✓ Frontend code
Key Strengths:

Strong code generation, API understanding, Good frameworks

Choose Jamba 1.5 Large when:

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

256K context, SSM-Transformer hybrid, Good summarization

Verdict: Qwen 2.5 Coder 32B vs Jamba 1.5 Large

For cost efficiency, Qwen 2.5 Coder 32B wins at $0.03/1M input tokens. For speed, Qwen 2.5 Coder 32B is faster at ~200ms. Qwen 2.5 Coder 32B excels at Faith-tech code 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 2.5 Coder 32B 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 2.5 Coder 32B is 2.7x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Qwen 2.5 Coder 32B 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 2.5 Coder 32B (Code) is optimized for: Faith-tech code, API development, Frontend code. 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 2.5 Coder 32B
response_a = client.chat.completions.create(
    model="qwen-2-5-coder-32b",
    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

200+ AI models. One API. Pay-as-you-go.

Get API Key Try in Playground

Frequently Asked Questions

Which is better, Qwen 2.5 Coder 32B or Jamba 1.5 Large?

Qwen 2.5 Coder 32B (Code, 32B) offers Strong code generation. Jamba 1.5 Large (Enterprise, 398B (94B active)) offers 256K context. Choose Qwen 2.5 Coder 32B for Faith-tech code or Jamba 1.5 Large for Full text processing.

How much does Qwen 2.5 Coder 32B cost vs Jamba 1.5 Large?

Qwen 2.5 Coder 32B: $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 2.5 Coder 32B 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.