DeepSeek R1 0528 vs Solar Pro

Compare DeepSeek R1 0528 and Solar Pro: 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 Solar Pro
CategoryReasoningOpen Source
Parameters671B22B
Context Window128K32K
Input Price$0.08/1M tokens$0.02/1M tokens
Output Price$0.15/1M tokens$0.04/1M tokens
Latency~800ms~180ms

Choose DeepSeek R1 0528 when:

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

Improved accuracy, Reduced hallucination, Strong math

Choose Solar Pro when:

  • ✓ General purpose
  • ✓ Korean content
  • ✓ Chatbots
Key Strengths:

Good instruction following, Compact, Efficient

Verdict: DeepSeek R1 0528 vs Solar Pro

For cost efficiency, Solar Pro wins at $0.02/1M input tokens. For speed, Solar Pro is faster at ~180ms. DeepSeek R1 0528 excels at Calculation verification while Solar Pro 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. Solar Pro costs $0.02 input and $0.04 output. Solar Pro 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. Solar Pro offers 32K context at ~180ms. DeepSeek R1 0528 has the larger context window.

Best For

DeepSeek R1 0528 (Reasoning) is optimized for: Calculation verification, Classical text analysis, Quality-critical. Solar Pro (Open Source) works best for: General purpose, Korean content, Chatbots.

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 Solar Pro
response_b = client.chat.completions.create(
    model="solar-pro",
    messages=[{"role": "user", "content": "Your question here"}]
)

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Frequently Asked Questions

Which is better, DeepSeek R1 0528 or Solar Pro?

DeepSeek R1 0528 (Reasoning, 671B) offers Improved accuracy. Solar Pro (Open Source, 22B) offers Good instruction following. Choose DeepSeek R1 0528 for Calculation verification or Solar Pro for General purpose.

How much does DeepSeek R1 0528 cost vs Solar Pro?

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