Jamba 1.5 Mini vs DBRX
Compare Jamba 1.5 Mini and DBRX: 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 | DBRX |
|---|---|---|
| Category | Compact | Enterprise |
| Parameters | 52B (12B active) | 132B (36B active) |
| Context Window | 256K | 32K |
| Input Price | $0.02/1M tokens | $0.04/1M tokens |
| Output Price | $0.04/1M tokens | $0.08/1M tokens |
| Latency | ~200ms | ~300ms |
Choose Jamba 1.5 Mini when:
- ✓ Long document Q&A
- ✓ Budget apps
- ✓ Summarization
256K context, Low cost, SSM efficiency
Choose DBRX when:
- ✓ Data pipelines
- ✓ Analytics
- ✓ Enterprise workflows
MoE efficient, Good for data, Enterprise-grade
Verdict: Jamba 1.5 Mini vs DBRX
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 DBRX is better for Data pipelines. 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. DBRX costs $0.04 input and $0.08 output. Jamba 1.5 Mini is 2.0x 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. DBRX offers 32K context at ~300ms. 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. DBRX (Enterprise) works best for: Data pipelines, Analytics, Enterprise workflows.
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 DBRX
response_b = client.chat.completions.create(
model="dbrx",
messages=[{"role": "user", "content": "Your question here"}]
)
Frequently Asked Questions
Which is better, Jamba 1.5 Mini or DBRX?
Jamba 1.5 Mini (Compact, 52B (12B active)) offers 256K context. DBRX (Enterprise, 132B (36B active)) offers MoE efficient. Choose Jamba 1.5 Mini for Long document Q&A or DBRX for Data pipelines.
How much does Jamba 1.5 Mini cost vs DBRX?
Jamba 1.5 Mini: $0.02/1M input, $0.04/1M output. DBRX: $0.04/1M input, $0.08/1M 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 DBRX 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.