DeepSeek R1 0528 vs Jamba 1.5 Large

Compare DeepSeek R1 0528 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 DeepSeek R1 0528 Jamba 1.5 Large
CategoryReasoningEnterprise
Parameters671B398B (94B active)
Context Window128K256K
Input Price$0.08/1M tokens$0.08/1M tokens
Output Price$0.15/1M tokens$0.14/1M tokens
Latency~800ms~500ms

Choose DeepSeek R1 0528 when:

  • ✓ Calculation verification
  • ✓ Classical text analysis
  • ✓ Quality-critical
Key Strengths:

Improved accuracy, Reduced hallucination, Strong math

Choose Jamba 1.5 Large when:

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

256K context, SSM-Transformer hybrid, Good summarization

Verdict: DeepSeek R1 0528 vs Jamba 1.5 Large

For cost efficiency, Jamba 1.5 Large wins at $0.08/1M input tokens. For speed, Jamba 1.5 Large is faster at ~500ms. DeepSeek R1 0528 excels at Calculation verification 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

DeepSeek R1 0528 costs $0.08/1M input tokens and $0.15/1M output tokens. Jamba 1.5 Large costs $0.08 input and $0.14 output. Both models are similarly priced. XALEN offers batch processing at 50% discount on both models.

Performance & Context

DeepSeek R1 0528 has a 128K context window with ~800ms latency. Jamba 1.5 Large offers 256K context at ~500ms. Jamba 1.5 Large has the larger context window.

Best For

DeepSeek R1 0528 (Reasoning) is optimized for: Calculation verification, Classical text analysis, Quality-critical. 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 DeepSeek R1 0528
response_a = client.chat.completions.create(
    model="deepseek-r1-0528",
    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

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Get API Key Try in Playground

Frequently Asked Questions

Which is better, DeepSeek R1 0528 or Jamba 1.5 Large?

DeepSeek R1 0528 (Reasoning, 671B) offers Improved accuracy. Jamba 1.5 Large (Enterprise, 398B (94B active)) offers 256K context. Choose DeepSeek R1 0528 for Calculation verification or Jamba 1.5 Large for Full text processing.

How much does DeepSeek R1 0528 cost vs Jamba 1.5 Large?

DeepSeek R1 0528: $0.08/1M input, $0.15/1M 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 DeepSeek R1 0528 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.