SDXL Turbo vs Gemma 3 1B

Compare SDXL Turbo and Gemma 3 1B: 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 SDXL Turbo Gemma 3 1B
CategoryImageCompact
Parameters3.5B1B
Context WindowN/A32K
Input Price$0.002/image/1M tokens$0.003/1M tokens
Output PriceN/A/1M tokens$0.006/1M tokens
Latency~1s~20ms

Choose SDXL Turbo when:

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

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

Choose Gemma 3 1B when:

  • ✓ Edge inference
  • ✓ Classification
  • ✓ Routing
Key Strengths:

Tiny footprint, Fastest inference, Edge-ready

Verdict: SDXL Turbo vs Gemma 3 1B

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 Gemma 3 1B is better for Edge inference. 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. Gemma 3 1B costs $0.003 input and $0.006 output. SDXL Turbo is 1.5x 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. Gemma 3 1B offers 32K context at ~20ms. Gemma 3 1B has the larger context window.

Best For

SDXL Turbo (Image) is optimized for: Horoscope cards, Festival banners, Quick visuals. Gemma 3 1B (Compact) works best for: Edge inference, Classification, Routing.

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 Gemma 3 1B
response_b = client.chat.completions.create(
    model="gemma-3-1b",
    messages=[{"role": "user", "content": "Your question here"}]
)

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Frequently Asked Questions

Which is better, SDXL Turbo or Gemma 3 1B?

SDXL Turbo (Image, 3.5B) offers Ultra-fast. Gemma 3 1B (Compact, 1B) offers Tiny footprint. Choose SDXL Turbo for Horoscope cards or Gemma 3 1B for Edge inference.

How much does SDXL Turbo cost vs Gemma 3 1B?

SDXL Turbo: $0.002/image/1M input, N/A/1M output. Gemma 3 1B: $0.003/1M input, $0.006/1M 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 Gemma 3 1B 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.