DeepSeek R1 0528 vs DBRX

Compare DeepSeek R1 0528 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

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Feature DeepSeek R1 0528 DBRX
CategoryReasoningEnterprise
Parameters671B132B (36B active)
Context Window128K32K
Input Price$0.08/1M tokens$0.04/1M tokens
Output Price$0.15/1M tokens$0.08/1M tokens
Latency~800ms~300ms

Choose DeepSeek R1 0528 when:

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

Improved accuracy, Reduced hallucination, Strong math

Choose DBRX when:

  • ✓ Data pipelines
  • ✓ Analytics
  • ✓ Enterprise workflows
Key Strengths:

MoE efficient, Good for data, Enterprise-grade

Verdict: DeepSeek R1 0528 vs DBRX

For cost efficiency, DBRX wins at $0.04/1M input tokens. For speed, DBRX is faster at ~300ms. DeepSeek R1 0528 excels at Calculation verification 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

DeepSeek R1 0528 costs $0.08/1M input tokens and $0.15/1M output tokens. DBRX costs $0.04 input and $0.08 output. DBRX is 2.0x 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. DBRX offers 32K context at ~300ms. DeepSeek R1 0528 has the larger context window.

Best For

DeepSeek R1 0528 (Reasoning) is optimized for: Calculation verification, Classical text analysis, Quality-critical. 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 DeepSeek R1 0528
response_a = client.chat.completions.create(
    model="deepseek-r1-0528",
    messages=[{"role": "user", "content": "Your question here"}]
)

# Use DBRX
response_b = client.chat.completions.create(
    model="dbrx",
    messages=[{"role": "user", "content": "Your question here"}]
)

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Frequently Asked Questions

Which is better, DeepSeek R1 0528 or DBRX?

DeepSeek R1 0528 (Reasoning, 671B) offers Improved accuracy. DBRX (Enterprise, 132B (36B active)) offers MoE efficient. Choose DeepSeek R1 0528 for Calculation verification or DBRX for Data pipelines.

How much does DeepSeek R1 0528 cost vs DBRX?

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