Llama 3.2 90B Vision vs SDXL Turbo

Compare Llama 3.2 90B Vision 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 90B Vision SDXL Turbo
CategoryVisionImage
Parameters90B3.5B
Context Window128KN/A
Input Price$0.06/1M tokens$0.002/image/1M tokens
Output Price$0.10/1M tokensN/A/1M tokens
Latency~500ms~1s

Choose Llama 3.2 90B Vision when:

  • ✓ Chart image analysis
  • ✓ Document scanning
  • ✓ Visual Q&A
Key Strengths:

Vision + language, Open weights, Good reasoning

Choose SDXL Turbo when:

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

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

Verdict: Llama 3.2 90B Vision 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 90B Vision excels at Chart image analysis 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 90B Vision costs $0.06/1M input tokens and $0.10/1M output tokens. SDXL Turbo costs $0.002/image input and N/A output. SDXL Turbo is 30.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Llama 3.2 90B Vision has a 128K context window with ~500ms latency. SDXL Turbo offers N/A context at ~1s. Llama 3.2 90B Vision has the larger context window.

Best For

Llama 3.2 90B Vision (Vision) is optimized for: Chart image analysis, Document scanning, Visual Q&A. 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 90B Vision
response_a = client.chat.completions.create(
    model="llama-3-2-90b-vision",
    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 90B Vision or SDXL Turbo?

Llama 3.2 90B Vision (Vision, 90B) offers Vision + language. SDXL Turbo (Image, 3.5B) offers Ultra-fast. Choose Llama 3.2 90B Vision for Chart image analysis or SDXL Turbo for Horoscope cards.

How much does Llama 3.2 90B Vision cost vs SDXL Turbo?

Llama 3.2 90B Vision: $0.06/1M input, $0.10/1M 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 90B Vision and SDXL Turbo by changing the model parameter. No code changes needed.

Related Comparisons

Llama 3.2 90B Vision vs Vedika Vision Llama 3.2 90B Vision vs DALL-E 3 Llama 3.2 90B Vision vs Imagen 3 Llama 3.2 90B Vision vs Llama 3.2 11B Vision Llama 3.2 90B Vision vs Qwen 2.5 VL 72B Llama 3.2 90B Vision vs Qwen 2.5 VL 7B

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