DeepSeek R1 0528 vs QwQ 32B

Compare DeepSeek R1 0528 and QwQ 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 DeepSeek R1 0528 QwQ 32B
CategoryReasoningReasoning
Parameters671B32B
Context Window128K128K
Input Price$0.08/1M tokens$0.03/1M tokens
Output Price$0.15/1M tokens$0.06/1M tokens
Latency~800ms~400ms

Choose DeepSeek R1 0528 when:

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

Improved accuracy, Reduced hallucination, Strong math

Choose QwQ 32B when:

  • ✓ Math reasoning
  • ✓ Logic tasks
  • ✓ Analysis
Key Strengths:

Strong reasoning, Compact for reasoning, Cost-efficient

Verdict: DeepSeek R1 0528 vs QwQ 32B

For cost efficiency, QwQ 32B wins at $0.03/1M input tokens. For speed, QwQ 32B is faster at ~400ms. DeepSeek R1 0528 excels at Calculation verification while QwQ 32B is better for Math 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

DeepSeek R1 0528 costs $0.08/1M input tokens and $0.15/1M output tokens. QwQ 32B costs $0.03 input and $0.06 output. QwQ 32B is 2.7x 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. QwQ 32B offers 128K context at ~400ms. Both have identical context windows.

Best For

DeepSeek R1 0528 (Reasoning) is optimized for: Calculation verification, Classical text analysis, Quality-critical. QwQ 32B (Reasoning) works best for: Math reasoning, Logic tasks, 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 QwQ 32B
response_b = client.chat.completions.create(
    model="qwq-32b",
    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 0528 or QwQ 32B?

DeepSeek R1 0528 (Reasoning, 671B) offers Improved accuracy. QwQ 32B (Reasoning, 32B) offers Strong reasoning. Choose DeepSeek R1 0528 for Calculation verification or QwQ 32B for Math reasoning.

How much does DeepSeek R1 0528 cost vs QwQ 32B?

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