DeepSeek R1 0528 vs Grok 2

Compare DeepSeek R1 0528 and Grok 2: 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 Grok 2
CategoryReasoningOpen Source
Parameters671B~300B
Context Window128K128K
Input Price$0.08/1M tokens$0.05/1M tokens
Output Price$0.15/1M tokens$0.10/1M tokens
Latency~800ms~350ms

Choose DeepSeek R1 0528 when:

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

Improved accuracy, Reduced hallucination, Strong math

Choose Grok 2 when:

  • ✓ General purpose
  • ✓ Content generation
  • ✓ Analysis
Key Strengths:

Proven model, Good reasoning, Reliable

Verdict: DeepSeek R1 0528 vs Grok 2

For cost efficiency, Grok 2 wins at $0.05/1M input tokens. For speed, Grok 2 is faster at ~350ms. DeepSeek R1 0528 excels at Calculation verification while Grok 2 is better for General purpose. 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. Grok 2 costs $0.05 input and $0.10 output. Grok 2 is 1.6x 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. Grok 2 offers 128K context at ~350ms. Both have identical context windows.

Best For

DeepSeek R1 0528 (Reasoning) is optimized for: Calculation verification, Classical text analysis, Quality-critical. Grok 2 (Open Source) works best for: General purpose, Content generation, 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 Grok 2
response_b = client.chat.completions.create(
    model="grok-2",
    messages=[{"role": "user", "content": "Your question here"}]
)

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Frequently Asked Questions

Which is better, DeepSeek R1 0528 or Grok 2?

DeepSeek R1 0528 (Reasoning, 671B) offers Improved accuracy. Grok 2 (Open Source, ~300B) offers Proven model. Choose DeepSeek R1 0528 for Calculation verification or Grok 2 for General purpose.

How much does DeepSeek R1 0528 cost vs Grok 2?

DeepSeek R1 0528: $0.08/1M input, $0.15/1M output. Grok 2: $0.05/1M input, $0.10/1M 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 Grok 2 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.