Vedika Pro Ultra vs Llama Guard 3 8B

Compare Vedika Pro Ultra and Llama Guard 3 8B: 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 Pro Ultra Llama Guard 3 8B
CategoryDomain SpecialistSafety
Parameters120B8B
Context Window256K128K
Input Price$0.12/1M tokens$0.01/1M tokens
Output Price$0.20/1M tokens$0.02/1M tokens
Latency~600ms~60ms

Choose Vedika Pro Ultra when:

  • ✓ Kundali matching reports
  • ✓ Multi-chart analysis
  • ✓ Enterprise platforms
Key Strengths:

256K context, Deep yoga reasoning, Multi-system comparison

Choose Llama Guard 3 8B when:

  • ✓ Content moderation
  • ✓ Safety filtering
  • ✓ Input validation
Key Strengths:

Safety classification, Fast, Open weights

Verdict: Vedika Pro Ultra vs Llama Guard 3 8B

For cost efficiency, Llama Guard 3 8B wins at $0.01/1M input tokens. For speed, Vedika Pro Ultra is faster at ~600ms. Vedika Pro Ultra excels at Kundali matching reports while Llama Guard 3 8B is better for Content moderation. 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 Pro Ultra costs $0.12/1M input tokens and $0.20/1M output tokens. Llama Guard 3 8B costs $0.01 input and $0.02 output. Llama Guard 3 8B is 12.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Vedika Pro Ultra has a 256K context window with ~600ms latency. Llama Guard 3 8B offers 128K context at ~60ms. Vedika Pro Ultra has the larger context window.

Best For

Vedika Pro Ultra (Domain Specialist) is optimized for: Kundali matching reports, Multi-chart analysis, Enterprise platforms. Llama Guard 3 8B (Safety) works best for: Content moderation, Safety filtering, Input validation.

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 Pro Ultra
response_a = client.chat.completions.create(
    model="vedika-pro-ultra",
    messages=[{"role": "user", "content": "Your question here"}]
)

# Use Llama Guard 3 8B
response_b = client.chat.completions.create(
    model="llama-guard-3-8b",
    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 Pro Ultra or Llama Guard 3 8B?

Vedika Pro Ultra (Domain Specialist, 120B) offers 256K context. Llama Guard 3 8B (Safety, 8B) offers Safety classification. Choose Vedika Pro Ultra for Kundali matching reports or Llama Guard 3 8B for Content moderation.

How much does Vedika Pro Ultra cost vs Llama Guard 3 8B?

Vedika Pro Ultra: $0.12/1M input, $0.20/1M output. Llama Guard 3 8B: $0.01/1M input, $0.02/1M 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 Pro Ultra and Llama Guard 3 8B by changing the model parameter. No code changes needed.

Related Comparisons

Vedika Pro Ultra vs Vedika Standard Vedika Pro Ultra vs Vedika Fast Vedika Pro Ultra vs OpenAI Moderation Vedika Pro Ultra vs Perspective API

Last updated: 2026-05-21. Pricing and specifications may change. Check pricing page for latest rates.