DeepSeek R1 0528 vs Jamba 1.5 Mini

Compare DeepSeek R1 0528 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

All DeepSeek models All AI21 models What is an LLM API? Python Quickstart What is inference?
Feature DeepSeek R1 0528 Jamba 1.5 Mini
CategoryReasoningCompact
Parameters671B52B (12B active)
Context Window128K256K
Input Price$0.08/1M tokens$0.02/1M tokens
Output Price$0.15/1M tokens$0.04/1M tokens
Latency~800ms~200ms

Choose DeepSeek R1 0528 when:

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

Improved accuracy, Reduced hallucination, Strong math

Choose Jamba 1.5 Mini when:

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

256K context, Low cost, SSM efficiency

Verdict: DeepSeek R1 0528 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 0528 excels at Calculation verification 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 0528 costs $0.08/1M input tokens and $0.15/1M output tokens. Jamba 1.5 Mini costs $0.02 input and $0.04 output. Jamba 1.5 Mini is 4.0x cheaper on input tokens. 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 Mini offers 256K context at ~200ms. Jamba 1.5 Mini has the larger context window.

Best For

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

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, DeepSeek R1 0528 or Jamba 1.5 Mini?

DeepSeek R1 0528 (Reasoning, 671B) offers Improved accuracy. Jamba 1.5 Mini (Compact, 52B (12B active)) offers 256K context. Choose DeepSeek R1 0528 for Calculation verification or Jamba 1.5 Mini for Long document Q&A.

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

DeepSeek R1 0528: $0.08/1M input, $0.15/1M 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 0528 and Jamba 1.5 Mini by changing the model parameter. No code changes needed.

Related Comparisons

DeepSeek R1 0528 vs GPT-4.1 Nano DeepSeek R1 0528 vs GPT-4o Mini DeepSeek R1 0528 vs o3 DeepSeek R1 0528 vs o3 Mini DeepSeek R1 0528 vs o4-mini DeepSeek R1 0528 vs Claude Haiku 3.5

Last updated: 2026-05-21. Pricing and specifications may change. Check pricing page for latest rates.