Llama 3.1 8B Turbo vs SD 3.5 Large

Compare Llama 3.1 8B Turbo and SD 3.5 Large: 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 SD 3.5 Large
CategoryCompactImage
Parameters8B8B
Context Window128KN/A
Input Price$0.01/1M tokens$0.004/image/1M tokens
Output Price$0.02/1M tokensN/A/1M tokens
Latency~60ms~3s

Choose Llama 3.1 8B Turbo when:

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

Extremely fast, Very low cost, 128K context

Choose SD 3.5 Large when:

  • ✓ Detailed illustrations
  • ✓ Temple artwork
  • ✓ Marketing imagery
Key Strengths:

High quality, Detailed output, Good composition

Verdict: Llama 3.1 8B Turbo vs SD 3.5 Large

For cost efficiency, SD 3.5 Large wins at $0.004/image/1M input tokens. For speed, SD 3.5 Large is faster at ~3s. Llama 3.1 8B Turbo excels at Intent classification while SD 3.5 Large is better for Detailed illustrations. 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. SD 3.5 Large costs $0.004/image input and N/A output. SD 3.5 Large is 2.5x 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. SD 3.5 Large offers N/A context at ~3s. 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. SD 3.5 Large (Image) works best for: Detailed illustrations, Temple artwork, Marketing imagery.

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 SD 3.5 Large
response_b = client.chat.completions.create(
    model="stable-diffusion-3-5-large",
    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 SD 3.5 Large?

Llama 3.1 8B Turbo (Compact, 8B) offers Extremely fast. SD 3.5 Large (Image, 8B) offers High quality. Choose Llama 3.1 8B Turbo for Intent classification or SD 3.5 Large for Detailed illustrations.

How much does Llama 3.1 8B Turbo cost vs SD 3.5 Large?

Llama 3.1 8B Turbo: $0.01/1M input, $0.02/1M output. SD 3.5 Large: $0.004/image/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 SD 3.5 Large 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.