Qwen 2.5 VL 72B vs SDXL Turbo

Compare Qwen 2.5 VL 72B 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 Qwen 2.5 VL 72B SDXL Turbo
CategoryVisionImage
Parameters72B3.5B
Context Window128KN/A
Input Price$0.05/1M tokens$0.002/image/1M tokens
Output Price$0.10/1M tokensN/A/1M tokens
Latency~400ms~1s

Choose Qwen 2.5 VL 72B when:

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

Vision + language, Strong Asian text OCR, Good reasoning

Choose SDXL Turbo when:

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

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

Verdict: Qwen 2.5 VL 72B vs SDXL Turbo

For cost efficiency, SDXL Turbo wins at $0.002/image/1M input tokens. For speed, SDXL Turbo is faster at ~1s. Qwen 2.5 VL 72B excels at Document 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

Qwen 2.5 VL 72B costs $0.05/1M input tokens and $0.10/1M output tokens. SDXL Turbo costs $0.002/image input and N/A output. SDXL Turbo is 25.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Qwen 2.5 VL 72B has a 128K context window with ~400ms latency. SDXL Turbo offers N/A context at ~1s. Qwen 2.5 VL 72B has the larger context window.

Best For

Qwen 2.5 VL 72B (Vision) is optimized for: Document analysis, Chart reading, 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 Qwen 2.5 VL 72B
response_a = client.chat.completions.create(
    model="qwen-2-5-vl-72b",
    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, Qwen 2.5 VL 72B or SDXL Turbo?

Qwen 2.5 VL 72B (Vision, 72B) offers Vision + language. SDXL Turbo (Image, 3.5B) offers Ultra-fast. Choose Qwen 2.5 VL 72B for Document analysis or SDXL Turbo for Horoscope cards.

How much does Qwen 2.5 VL 72B cost vs SDXL Turbo?

Qwen 2.5 VL 72B: $0.05/1M 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 Qwen 2.5 VL 72B 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.