DeepSeek R1 Distill 70B vs Jamba 1.5 Mini

Compare DeepSeek R1 Distill 70B and Jamba 1.5 Mini: 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 DeepSeek R1 Distill 70B Jamba 1.5 Mini
CategoryReasoningCompact
Parameters70B52B (12B active)
Context Window128K256K
Input Price$0.04/1M tokens$0.02/1M tokens
Output Price$0.08/1M tokens$0.04/1M tokens
Latency~400ms~200ms

Choose DeepSeek R1 Distill 70B when:

  • ✓ Production reasoning
  • ✓ Batch processing
  • ✓ Cost-sensitive
Key Strengths:

Reasoning distilled, Faster than full R1, Cost-efficient

Choose Jamba 1.5 Mini when:

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

256K context, Low cost, SSM efficiency

Verdict: DeepSeek R1 Distill 70B vs Jamba 1.5 Mini

For cost efficiency, Jamba 1.5 Mini wins at $0.02/1M input tokens. For speed, Jamba 1.5 Mini is faster at ~200ms. DeepSeek R1 Distill 70B excels at Production reasoning while Jamba 1.5 Mini is better for Long document Q&A. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.

Detailed Analysis

Pricing Comparison

DeepSeek R1 Distill 70B costs $0.04/1M input tokens and $0.08/1M output tokens. Jamba 1.5 Mini costs $0.02 input and $0.04 output. Jamba 1.5 Mini is 2.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

DeepSeek R1 Distill 70B has a 128K context window with ~400ms latency. Jamba 1.5 Mini offers 256K context at ~200ms. Jamba 1.5 Mini has the larger context window.

Best For

DeepSeek R1 Distill 70B (Reasoning) is optimized for: Production reasoning, Batch processing, Cost-sensitive. Jamba 1.5 Mini (Compact) works best for: Long document Q&A, Budget apps, Summarization.

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 DeepSeek R1 Distill 70B
response_a = client.chat.completions.create(
    model="deepseek-r1-distill-70b",
    messages=[{"role": "user", "content": "Your question here"}]
)

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

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Get API Key Try in Playground

Frequently Asked Questions

Which is better, DeepSeek R1 Distill 70B or Jamba 1.5 Mini?

DeepSeek R1 Distill 70B (Reasoning, 70B) offers Reasoning distilled. Jamba 1.5 Mini (Compact, 52B (12B active)) offers 256K context. Choose DeepSeek R1 Distill 70B for Production reasoning or Jamba 1.5 Mini for Long document Q&A.

How much does DeepSeek R1 Distill 70B cost vs Jamba 1.5 Mini?

DeepSeek R1 Distill 70B: $0.04/1M input, $0.08/1M output. Jamba 1.5 Mini: $0.02/1M input, $0.04/1M 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 DeepSeek R1 Distill 70B and Jamba 1.5 Mini 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.