Jamba 1.5 Mini vs DeepSeek R1 Distill 32B

Compare Jamba 1.5 Mini and DeepSeek R1 Distill 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

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Feature Jamba 1.5 Mini DeepSeek R1 Distill 32B
CategoryCompactReasoning
Parameters52B (12B active)32B
Context Window256K128K
Input Price$0.02/1M tokens$0.03/1M tokens
Output Price$0.04/1M tokens$0.06/1M tokens
Latency~200ms~250ms

Choose Jamba 1.5 Mini when:

  • ✓ Long document Q&A
  • ✓ Budget apps
  • ✓ Summarization
Key Strengths:

256K context, Low cost, SSM efficiency

Choose DeepSeek R1 Distill 32B when:

  • ✓ Production reasoning
  • ✓ Analysis
  • ✓ Structured tasks
Key Strengths:

Good reasoning, Moderate cost, Fast

Verdict: Jamba 1.5 Mini vs DeepSeek R1 Distill 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 DeepSeek R1 Distill 32B is better for Production 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. DeepSeek R1 Distill 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. DeepSeek R1 Distill 32B offers 128K context at ~250ms. 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. DeepSeek R1 Distill 32B (Reasoning) works best for: Production reasoning, Analysis, Structured tasks.

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 DeepSeek R1 Distill 32B
response_b = client.chat.completions.create(
    model="deepseek-r1-distill-32b",
    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, Jamba 1.5 Mini or DeepSeek R1 Distill 32B?

Jamba 1.5 Mini (Compact, 52B (12B active)) offers 256K context. DeepSeek R1 Distill 32B (Reasoning, 32B) offers Good reasoning. Choose Jamba 1.5 Mini for Long document Q&A or DeepSeek R1 Distill 32B for Production reasoning.

How much does Jamba 1.5 Mini cost vs DeepSeek R1 Distill 32B?

Jamba 1.5 Mini: $0.02/1M input, $0.04/1M output. DeepSeek R1 Distill 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 DeepSeek R1 Distill 32B 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.