SDXL Turbo vs Nemotron 4 340B
Compare SDXL Turbo and Nemotron 4 340B: pricing, performance, context window, latency, and best use cases. Side-by-side comparison on XALEN.
Updated 2026-05-21 · By Abhishek Raj · Our methodology
| Feature | SDXL Turbo | Nemotron 4 340B |
|---|---|---|
| Category | Image | Open Source |
| Parameters | 3.5B | 340B |
| Context Window | N/A | 128K |
| Input Price | $0.002/image/1M tokens | $0.07/1M tokens |
| Output Price | N/A/1M tokens | $0.12/1M tokens |
| Latency | ~1s | ~500ms |
Choose SDXL Turbo when:
- ✓ Horoscope cards
- ✓ Festival banners
- ✓ Quick visuals
Ultra-fast, Very low cost, Real-time capable
Choose Nemotron 4 340B when:
- ✓ Data generation
- ✓ Training data
- ✓ Research
Synthetic data generation, Large scale, Good quality
Verdict: SDXL Turbo vs Nemotron 4 340B
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 Nemotron 4 340B is better for Data generation. 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. Nemotron 4 340B costs $0.07 input and $0.12 output. SDXL Turbo is 35.0x 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. Nemotron 4 340B offers 128K context at ~500ms. Nemotron 4 340B has the larger context window.
Best For
SDXL Turbo (Image) is optimized for: Horoscope cards, Festival banners, Quick visuals. Nemotron 4 340B (Open Source) works best for: Data generation, Training data, Research.
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 Nemotron 4 340B
response_b = client.chat.completions.create(
model="nemotron-4-340b",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, SDXL Turbo or Nemotron 4 340B?
SDXL Turbo (Image, 3.5B) offers Ultra-fast. Nemotron 4 340B (Open Source, 340B) offers Synthetic data generation. Choose SDXL Turbo for Horoscope cards or Nemotron 4 340B for Data generation.
How much does SDXL Turbo cost vs Nemotron 4 340B?
SDXL Turbo: $0.002/image/1M input, N/A/1M output. Nemotron 4 340B: $0.07/1M 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 Nemotron 4 340B 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.