Llama 3.1 70B Turbo vs SD 3.5 Large

Compare Llama 3.1 70B 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 70B Turbo SD 3.5 Large
CategoryOpen SourceImage
Parameters70B8B
Context Window128KN/A
Input Price$0.04/1M tokens$0.004/image/1M tokens
Output Price$0.06/1M tokensN/A/1M tokens
Latency~250ms~3s

Choose Llama 3.1 70B Turbo when:

  • ✓ Production APIs
  • ✓ Fast generation
  • ✓ General purpose
Key Strengths:

Fast inference, Good quality, Well-tested

Choose SD 3.5 Large when:

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

High quality, Detailed output, Good composition

Verdict: Llama 3.1 70B Turbo vs SD 3.5 Large

For cost efficiency, SD 3.5 Large wins at $0.004/image/1M input tokens. For speed, Llama 3.1 70B Turbo is faster at ~250ms. Llama 3.1 70B Turbo excels at Production APIs 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 70B Turbo costs $0.04/1M input tokens and $0.06/1M output tokens. SD 3.5 Large costs $0.004/image input and N/A output. SD 3.5 Large is 10.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Llama 3.1 70B Turbo has a 128K context window with ~250ms latency. SD 3.5 Large offers N/A context at ~3s. Llama 3.1 70B Turbo has the larger context window.

Best For

Llama 3.1 70B Turbo (Open Source) is optimized for: Production APIs, Fast generation, General purpose. 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 70B Turbo
response_a = client.chat.completions.create(
    model="llama-3-1-70b-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 70B Turbo or SD 3.5 Large?

Llama 3.1 70B Turbo (Open Source, 70B) offers Fast inference. SD 3.5 Large (Image, 8B) offers High quality. Choose Llama 3.1 70B Turbo for Production APIs or SD 3.5 Large for Detailed illustrations.

How much does Llama 3.1 70B Turbo cost vs SD 3.5 Large?

Llama 3.1 70B Turbo: $0.04/1M input, $0.06/1M 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 70B 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.