Gemma 3 4B vs SDXL Turbo

Compare Gemma 3 4B 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 Gemma 3 4B SDXL Turbo
CategoryCompactImage
Parameters4B3.5B
Context Window128KN/A
Input Price$0.008/1M tokens$0.002/image/1M tokens
Output Price$0.015/1M tokensN/A/1M tokens
Latency~60ms~1s

Choose Gemma 3 4B when:

  • ✓ Intent detection
  • ✓ Keyword extraction
  • ✓ Preprocessing
Key Strengths:

Ultra-small, Fastest inference, Minimal cost

Choose SDXL Turbo when:

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

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

Verdict: Gemma 3 4B vs SDXL Turbo

For cost efficiency, SDXL Turbo wins at $0.002/image/1M input tokens. For speed, SDXL Turbo is faster at ~1s. Gemma 3 4B excels at Intent detection 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

Gemma 3 4B costs $0.008/1M input tokens and $0.015/1M output tokens. SDXL Turbo costs $0.002/image input and N/A output. SDXL Turbo is 4.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Gemma 3 4B has a 128K context window with ~60ms latency. SDXL Turbo offers N/A context at ~1s. Gemma 3 4B has the larger context window.

Best For

Gemma 3 4B (Compact) is optimized for: Intent detection, Keyword extraction, 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 Gemma 3 4B
response_a = client.chat.completions.create(
    model="gemma-3-4b",
    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"}]
)

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Frequently Asked Questions

Which is better, Gemma 3 4B or SDXL Turbo?

Gemma 3 4B (Compact, 4B) offers Ultra-small. SDXL Turbo (Image, 3.5B) offers Ultra-fast. Choose Gemma 3 4B for Intent detection or SDXL Turbo for Horoscope cards.

How much does Gemma 3 4B cost vs SDXL Turbo?

Gemma 3 4B: $0.008/1M input, $0.015/1M 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 Gemma 3 4B 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.