Llama 3.1 8B Turbo vs OpenAI Moderation

Compare Llama 3.1 8B Turbo and OpenAI Moderation: pricing, performance, context window, latency, and best use cases. Side-by-side comparison on XALEN.

Updated 2026-05-21 · By Abhishek Raj · Our methodology

All Meta models All OpenAI models What is an LLM API? Python Quickstart What is inference?
Feature Llama 3.1 8B Turbo OpenAI Moderation
CategoryCompactSafety
Parameters8B~1B
Context Window128K32K
Input Price$0.01/1M tokensFree/1M tokens
Output Price$0.02/1M tokensN/A/1M tokens
Latency~60ms~50ms

Choose Llama 3.1 8B Turbo when:

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

Extremely fast, Very low cost, 128K context

Choose OpenAI Moderation when:

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

Free, Fast, Reliable categories

Verdict: Llama 3.1 8B Turbo vs OpenAI Moderation

For cost efficiency, OpenAI Moderation wins at Free/1M input tokens. For speed, OpenAI Moderation is faster at ~50ms. Llama 3.1 8B Turbo excels at Intent classification while OpenAI Moderation 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. OpenAI Moderation costs Free input and N/A output. OpenAI Moderation is NaNx cheaper on input tokens. 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. OpenAI Moderation offers 32K context at ~50ms. Llama 3.1 8B Turbo has the larger context window.

Best For

Llama 3.1 8B Turbo (Compact) is optimized for: Intent classification, Content filtering, Simple Q&A. OpenAI Moderation (Safety) works best for: Content moderation, Input filtering, Safety checks.

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 OpenAI Moderation
response_b = client.chat.completions.create(
    model="openai-moderation",
    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 OpenAI Moderation?

Llama 3.1 8B Turbo (Compact, 8B) offers Extremely fast. OpenAI Moderation (Safety, ~1B) offers Free. Choose Llama 3.1 8B Turbo for Intent classification or OpenAI Moderation for Content moderation.

How much does Llama 3.1 8B Turbo cost vs OpenAI Moderation?

Llama 3.1 8B Turbo: $0.01/1M input, $0.02/1M output. OpenAI Moderation: Free/1M input, N/A/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 OpenAI Moderation 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.