Vedika Fast vs Llama 3.1 8B Turbo

Compare Vedika Fast and Llama 3.1 8B Turbo: 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 Fast Llama 3.1 8B Turbo
CategoryDomain SpecialistCompact
Parameters8B8B
Context Window32K128K
Input Price$0.04/1M tokens$0.01/1M tokens
Output Price$0.06/1M tokens$0.02/1M tokens
Latency~120ms~60ms

Choose Vedika Fast when:

  • ✓ Voice astrology bots
  • ✓ Real-time chatbots
  • ✓ Temple kiosks
Key Strengths:

Sub-200ms latency, Voice-optimized, Real-time chat

Choose Llama 3.1 8B Turbo when:

  • ✓ Intent classification
  • ✓ Content filtering
  • ✓ Simple Q&A
Key Strengths:

Extremely fast, Very low cost, 128K context

Verdict: Vedika Fast vs Llama 3.1 8B Turbo

For cost efficiency, Llama 3.1 8B Turbo wins at $0.01/1M input tokens. For speed, Vedika Fast is faster at ~120ms. Vedika Fast excels at Voice astrology bots while Llama 3.1 8B Turbo is better for Intent classification. 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 Fast costs $0.04/1M input tokens and $0.06/1M output tokens. Llama 3.1 8B Turbo costs $0.01 input and $0.02 output. Llama 3.1 8B Turbo is 4.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Vedika Fast has a 32K context window with ~120ms latency. Llama 3.1 8B Turbo offers 128K context at ~60ms. Llama 3.1 8B Turbo has the larger context window.

Best For

Vedika Fast (Domain Specialist) is optimized for: Voice astrology bots, Real-time chatbots, Temple kiosks. Llama 3.1 8B Turbo (Compact) works best for: Intent classification, Content filtering, Simple Q&A.

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

# Use Llama 3.1 8B Turbo
response_b = client.chat.completions.create(
    model="llama-3-1-8b-turbo",
    messages=[{"role": "user", "content": "Your question here"}]
)

Start Building with XALEN

200+ AI models. One API. Pay-as-you-go.

Get API Key Try in Playground

Frequently Asked Questions

Which is better, Vedika Fast or Llama 3.1 8B Turbo?

Vedika Fast (Domain Specialist, 8B) offers Sub-200ms latency. Llama 3.1 8B Turbo (Compact, 8B) offers Extremely fast. Choose Vedika Fast for Voice astrology bots or Llama 3.1 8B Turbo for Intent classification.

How much does Vedika Fast cost vs Llama 3.1 8B Turbo?

Vedika Fast: $0.04/1M input, $0.06/1M output. Llama 3.1 8B Turbo: $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 Fast and Llama 3.1 8B Turbo 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.