Llama 3.1 8B Turbo vs Llama Guard 3 8B

Compare Llama 3.1 8B Turbo 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 Llama 3.1 8B Turbo Llama Guard 3 8B
CategoryCompactSafety
Parameters8B8B
Context Window128K128K
Input Price$0.01/1M tokens$0.01/1M tokens
Output Price$0.02/1M tokens$0.02/1M tokens
Latency~60ms~60ms

Choose Llama 3.1 8B Turbo when:

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

Extremely fast, Very low cost, 128K context

Choose Llama Guard 3 8B when:

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

Safety classification, Fast, Open weights

Verdict: Llama 3.1 8B Turbo vs Llama Guard 3 8B

For cost efficiency, Llama Guard 3 8B wins at $0.01/1M input tokens. For speed, Llama Guard 3 8B is faster at ~60ms. Llama 3.1 8B Turbo excels at Intent classification 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

Llama 3.1 8B Turbo costs $0.01/1M input tokens and $0.02/1M output tokens. Llama Guard 3 8B costs $0.01 input and $0.02 output. Both models are similarly priced. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Llama 3.1 8B Turbo has a 128K context window with ~60ms latency. Llama Guard 3 8B offers 128K context at ~60ms. Both have identical context windows.

Best For

Llama 3.1 8B Turbo (Compact) is optimized for: Intent classification, Content filtering, Simple Q&A. 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 Llama 3.1 8B Turbo
response_a = client.chat.completions.create(
    model="llama-3-1-8b-turbo",
    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, Llama 3.1 8B Turbo or Llama Guard 3 8B?

Llama 3.1 8B Turbo (Compact, 8B) offers Extremely fast. Llama Guard 3 8B (Safety, 8B) offers Safety classification. Choose Llama 3.1 8B Turbo for Intent classification or Llama Guard 3 8B for Content moderation.

How much does Llama 3.1 8B Turbo cost vs Llama Guard 3 8B?

Llama 3.1 8B Turbo: $0.01/1M input, $0.02/1M 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 Llama 3.1 8B Turbo and Llama Guard 3 8B 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.