Llama 3.1 405B vs SDXL Turbo

Compare Llama 3.1 405B and SDXL 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 Llama 3.1 405B SDXL Turbo
CategoryOpen SourceImage
Parameters405B3.5B
Context Window128KN/A
Input Price$0.08/1M tokens$0.002/image/1M tokens
Output Price$0.14/1M tokensN/A/1M tokens
Latency~600ms~1s

Choose Llama 3.1 405B when:

  • ✓ Premium tasks
  • ✓ Research
  • ✓ Fine-tuning base
Key Strengths:

Largest open model, Highest open-source quality

Choose SDXL Turbo when:

  • ✓ Horoscope cards
  • ✓ Festival banners
  • ✓ Quick visuals
Key Strengths:

Ultra-fast, Very low cost, Real-time capable

Verdict: Llama 3.1 405B vs SDXL Turbo

For cost efficiency, SDXL Turbo wins at $0.002/image/1M input tokens. For speed, SDXL Turbo is faster at ~1s. Llama 3.1 405B excels at Premium tasks while SDXL Turbo is better for Horoscope cards. 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 405B costs $0.08/1M input tokens and $0.14/1M output tokens. SDXL Turbo costs $0.002/image input and N/A output. SDXL Turbo is 40.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Llama 3.1 405B has a 128K context window with ~600ms latency. SDXL Turbo offers N/A context at ~1s. Llama 3.1 405B has the larger context window.

Best For

Llama 3.1 405B (Open Source) is optimized for: Premium tasks, Research, Fine-tuning base. SDXL Turbo (Image) works best for: Horoscope cards, Festival banners, Quick visuals.

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 405B
response_a = client.chat.completions.create(
    model="llama-3-1-405b",
    messages=[{"role": "user", "content": "Your question here"}]
)

# Use SDXL Turbo
response_b = client.chat.completions.create(
    model="sdxl-turbo",
    messages=[{"role": "user", "content": "Your question here"}]
)

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Get API Key Try in Playground

Frequently Asked Questions

Which is better, Llama 3.1 405B or SDXL Turbo?

Llama 3.1 405B (Open Source, 405B) offers Largest open model. SDXL Turbo (Image, 3.5B) offers Ultra-fast. Choose Llama 3.1 405B for Premium tasks or SDXL Turbo for Horoscope cards.

How much does Llama 3.1 405B cost vs SDXL Turbo?

Llama 3.1 405B: $0.08/1M input, $0.14/1M output. SDXL Turbo: $0.002/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 405B and SDXL 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.