Llama 3.2 3B vs SDXL Turbo

Compare Llama 3.2 3B 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

All Meta models All Stability AI models What is an LLM API? Python Quickstart What is inference?
Feature Llama 3.2 3B SDXL Turbo
CategoryCompactImage
Parameters3B3.5B
Context Window128KN/A
Input Price$0.006/1M tokens$0.002/image/1M tokens
Output Price$0.012/1M tokensN/A/1M tokens
Latency~40ms~1s

Choose Llama 3.2 3B when:

  • ✓ Mobile apps
  • ✓ Edge inference
  • ✓ Preprocessing
Key Strengths:

Ultra-small, Edge-ready, Minimal latency

Choose SDXL Turbo when:

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

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

Verdict: Llama 3.2 3B 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 3B excels at Mobile apps 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 3B costs $0.006/1M input tokens and $0.012/1M output tokens. SDXL Turbo costs $0.002/image input and N/A output. SDXL Turbo is 3.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Llama 3.2 3B has a 128K context window with ~40ms latency. SDXL Turbo offers N/A context at ~1s. Llama 3.2 3B has the larger context window.

Best For

Llama 3.2 3B (Compact) is optimized for: Mobile apps, Edge inference, Preprocessing. 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 3B
response_a = client.chat.completions.create(
    model="llama-3-2-3b",
    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"}]
)

Start Building with XALEN

200+ AI models. One API. Pay-as-you-go.

Get API Key Try in Playground

Frequently Asked Questions

Which is better, Llama 3.2 3B or SDXL Turbo?

Llama 3.2 3B (Compact, 3B) offers Ultra-small. SDXL Turbo (Image, 3.5B) offers Ultra-fast. Choose Llama 3.2 3B for Mobile apps or SDXL Turbo for Horoscope cards.

How much does Llama 3.2 3B cost vs SDXL Turbo?

Llama 3.2 3B: $0.006/1M input, $0.012/1M 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 3B and SDXL Turbo by changing the model parameter. No code changes needed.

Related Comparisons

Llama 3.2 3B vs GPT-4.1 Nano Llama 3.2 3B vs GPT-4o Mini Llama 3.2 3B vs DALL-E 3 Llama 3.2 3B vs Claude Haiku 3.5 Llama 3.2 3B vs Gemma 3 12B Llama 3.2 3B vs Gemma 3 4B

Last updated: 2026-05-21. Pricing and specifications may change. Check pricing page for latest rates.