SDXL Turbo vs Yi Large

Compare SDXL Turbo and Yi Large: 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 Stability AI models All 01.AI models What is an LLM API? Python Quickstart What is inference?
Feature SDXL Turbo Yi Large
CategoryImageOpen Source
Parameters3.5B300B
Context WindowN/A200K
Input Price$0.002/image/1M tokens$0.06/1M tokens
Output PriceN/A/1M tokens$0.12/1M tokens
Latency~1s~450ms

Choose SDXL Turbo when:

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

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

Choose Yi Large when:

  • ✓ Long document analysis
  • ✓ Research
  • ✓ Complex tasks
Key Strengths:

200K context, Strong analysis, Good reasoning

Verdict: SDXL Turbo vs Yi Large

For cost efficiency, SDXL Turbo wins at $0.002/image/1M input tokens. For speed, SDXL Turbo is faster at ~1s. SDXL Turbo excels at Horoscope cards while Yi Large is better for Long document analysis. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.

Detailed Analysis

Pricing Comparison

SDXL Turbo costs $0.002/image/1M input tokens and N/A/1M output tokens. Yi Large costs $0.06 input and $0.12 output. SDXL Turbo is 30.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

SDXL Turbo has a N/A context window with ~1s latency. Yi Large offers 200K context at ~450ms. Yi Large has the larger context window.

Best For

SDXL Turbo (Image) is optimized for: Horoscope cards, Festival banners, Quick visuals. Yi Large (Open Source) works best for: Long document analysis, Research, Complex tasks.

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

# Use Yi Large
response_b = client.chat.completions.create(
    model="yi-large",
    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, SDXL Turbo or Yi Large?

SDXL Turbo (Image, 3.5B) offers Ultra-fast. Yi Large (Open Source, 300B) offers 200K context. Choose SDXL Turbo for Horoscope cards or Yi Large for Long document analysis.

How much does SDXL Turbo cost vs Yi Large?

SDXL Turbo: $0.002/image/1M input, N/A/1M output. Yi Large: $0.06/1M input, $0.12/1M 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 SDXL Turbo and Yi Large by changing the model parameter. No code changes needed.

Related Comparisons

SDXL Turbo vs DALL-E 3 SDXL Turbo vs Gemma 3 27B SDXL Turbo vs Imagen 3 SDXL Turbo vs Llama 4 Scout SDXL Turbo vs Llama 4 Maverick SDXL Turbo vs Llama 3.3 70B

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