Jamba 1.5 Mini vs QwQ 32B
Compare Jamba 1.5 Mini and QwQ 32B: pricing, performance, context window, latency, and best use cases. Side-by-side comparison on XALEN.
Updated 2026-05-21 · By Abhishek Raj · Our methodology
| Feature | Jamba 1.5 Mini | QwQ 32B |
|---|---|---|
| Category | Compact | Reasoning |
| Parameters | 52B (12B active) | 32B |
| Context Window | 256K | 128K |
| Input Price | $0.02/1M tokens | $0.03/1M tokens |
| Output Price | $0.04/1M tokens | $0.06/1M tokens |
| Latency | ~200ms | ~400ms |
Choose Jamba 1.5 Mini when:
- ✓ Long document Q&A
- ✓ Budget apps
- ✓ Summarization
256K context, Low cost, SSM efficiency
Choose QwQ 32B when:
- ✓ Math reasoning
- ✓ Logic tasks
- ✓ Analysis
Strong reasoning, Compact for reasoning, Cost-efficient
Verdict: Jamba 1.5 Mini vs QwQ 32B
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 QwQ 32B is better for Math reasoning. 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. QwQ 32B costs $0.03 input and $0.06 output. Jamba 1.5 Mini is 1.5x 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. QwQ 32B 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. QwQ 32B (Reasoning) works best for: Math reasoning, Logic tasks, 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 Jamba 1.5 Mini
response_a = client.chat.completions.create(
model="jamba-1-5-mini",
messages=[{"role": "user", "content": "Your question here"}]
)
# Use QwQ 32B
response_b = client.chat.completions.create(
model="qwq-32b",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, Jamba 1.5 Mini or QwQ 32B?
Jamba 1.5 Mini (Compact, 52B (12B active)) offers 256K context. QwQ 32B (Reasoning, 32B) offers Strong reasoning. Choose Jamba 1.5 Mini for Long document Q&A or QwQ 32B for Math reasoning.
How much does Jamba 1.5 Mini cost vs QwQ 32B?
Jamba 1.5 Mini: $0.02/1M input, $0.04/1M output. QwQ 32B: $0.03/1M input, $0.06/1M 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 QwQ 32B by changing the model parameter. No code changes needed.
Related Comparisons
Last updated: 2026-05-21. Pricing and specifications may change. Check pricing page for latest rates.