Llama 3.2 1B vs SDXL Turbo

Compare Llama 3.2 1B 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 3.2 1B SDXL Turbo
CategoryCompactImage
Parameters1B3.5B
Context Window128KN/A
Input Price$0.004/1M tokens$0.002/image/1M tokens
Output Price$0.008/1M tokensN/A/1M tokens
Latency~25ms~1s

Choose Llama 3.2 1B when:

  • ✓ Intent detection
  • ✓ Routing
  • ✓ Edge classification
Key Strengths:

Smallest footprint, Fastest inference, Classification

Choose SDXL Turbo when:

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

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

Verdict: Llama 3.2 1B 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 3.2 1B excels at Intent detection 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 3.2 1B costs $0.004/1M input tokens and $0.008/1M output tokens. SDXL Turbo costs $0.002/image input and N/A output. SDXL Turbo is 2.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Llama 3.2 1B has a 128K context window with ~25ms latency. SDXL Turbo offers N/A context at ~1s. Llama 3.2 1B has the larger context window.

Best For

Llama 3.2 1B (Compact) is optimized for: Intent detection, Routing, Edge classification. 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 3.2 1B
response_a = client.chat.completions.create(
    model="llama-3-2-1b",
    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 3.2 1B or SDXL Turbo?

Llama 3.2 1B (Compact, 1B) offers Smallest footprint. SDXL Turbo (Image, 3.5B) offers Ultra-fast. Choose Llama 3.2 1B for Intent detection or SDXL Turbo for Horoscope cards.

How much does Llama 3.2 1B cost vs SDXL Turbo?

Llama 3.2 1B: $0.004/1M input, $0.008/1M 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 3.2 1B 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.