SDXL Turbo vs Jamba 1.5 Mini

Compare SDXL Turbo and Jamba 1.5 Mini: 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 Jamba 1.5 Mini
CategoryImageCompact
Parameters3.5B52B (12B active)
Context WindowN/A256K
Input Price$0.002/image/1M tokens$0.02/1M tokens
Output PriceN/A/1M tokens$0.04/1M tokens
Latency~1s~200ms

Choose SDXL Turbo when:

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

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

Choose Jamba 1.5 Mini when:

  • ✓ Long document Q&A
  • ✓ Budget apps
  • ✓ Summarization
Key Strengths:

256K context, Low cost, SSM efficiency

Verdict: SDXL Turbo vs Jamba 1.5 Mini

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 Jamba 1.5 Mini is better for Long document Q&A. 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. Jamba 1.5 Mini costs $0.02 input and $0.04 output. SDXL Turbo is 10.0x 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. Jamba 1.5 Mini offers 256K context at ~200ms. Jamba 1.5 Mini has the larger context window.

Best For

SDXL Turbo (Image) is optimized for: Horoscope cards, Festival banners, Quick visuals. Jamba 1.5 Mini (Compact) works best for: Long document Q&A, Budget apps, Summarization.

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 Jamba 1.5 Mini
response_b = client.chat.completions.create(
    model="jamba-1-5-mini",
    messages=[{"role": "user", "content": "Your question here"}]
)

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Get API Key Try in Playground

Frequently Asked Questions

Which is better, SDXL Turbo or Jamba 1.5 Mini?

SDXL Turbo (Image, 3.5B) offers Ultra-fast. Jamba 1.5 Mini (Compact, 52B (12B active)) offers 256K context. Choose SDXL Turbo for Horoscope cards or Jamba 1.5 Mini for Long document Q&A.

How much does SDXL Turbo cost vs Jamba 1.5 Mini?

SDXL Turbo: $0.002/image/1M input, N/A/1M output. Jamba 1.5 Mini: $0.02/1M input, $0.04/1M 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 Jamba 1.5 Mini 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.