Vedika Standard vs DeepSeek R1 0528

Compare Vedika Standard and DeepSeek R1 0528: 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 Vedika Standard DeepSeek R1 0528
CategoryDomain SpecialistReasoning
Parameters120B671B
Context Window128K128K
Input Price$0.06/1M tokens$0.08/1M tokens
Output Price$0.10/1M tokens$0.15/1M tokens
Latency~400ms~800ms

Choose Vedika Standard when:

  • ✓ Astrology chatbots
  • ✓ Temple content
  • ✓ Devotional Q&A
Key Strengths:

14 Indian languages native, 131 computed yogas, Classical text citations

Choose DeepSeek R1 0528 when:

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

Improved accuracy, Reduced hallucination, Strong math

Verdict: Vedika Standard vs DeepSeek R1 0528

For cost efficiency, Vedika Standard wins at $0.06/1M input tokens. For speed, Vedika Standard is faster at ~400ms. Vedika Standard excels at Astrology chatbots while DeepSeek R1 0528 is better for Calculation verification. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.

Detailed Analysis

Pricing Comparison

Vedika Standard costs $0.06/1M input tokens and $0.10/1M output tokens. DeepSeek R1 0528 costs $0.08 input and $0.15 output. Vedika Standard is 1.3x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Vedika Standard has a 128K context window with ~400ms latency. DeepSeek R1 0528 offers 128K context at ~800ms. Both have identical context windows.

Best For

Vedika Standard (Domain Specialist) is optimized for: Astrology chatbots, Temple content, Devotional Q&A. DeepSeek R1 0528 (Reasoning) works best for: Calculation verification, Classical text analysis, Quality-critical.

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 Vedika Standard
response_a = client.chat.completions.create(
    model="vedika-standard",
    messages=[{"role": "user", "content": "Your question here"}]
)

# Use DeepSeek R1 0528
response_b = client.chat.completions.create(
    model="deepseek-r1-0528",
    messages=[{"role": "user", "content": "Your question here"}]
)

Start Building with XALEN

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Get API Key Try in Playground

Frequently Asked Questions

Which is better, Vedika Standard or DeepSeek R1 0528?

Vedika Standard (Domain Specialist, 120B) offers 14 Indian languages native. DeepSeek R1 0528 (Reasoning, 671B) offers Improved accuracy. Choose Vedika Standard for Astrology chatbots or DeepSeek R1 0528 for Calculation verification.

How much does Vedika Standard cost vs DeepSeek R1 0528?

Vedika Standard: $0.06/1M input, $0.10/1M output. DeepSeek R1 0528: $0.08/1M input, $0.15/1M 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 Vedika Standard and DeepSeek R1 0528 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.