Pixtral Large vs SD 3.5 Large
Compare Pixtral Large and SD 3.5 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
| Feature | Pixtral Large | SD 3.5 Large |
|---|---|---|
| Category | Vision | Image |
| Parameters | 124B | 8B |
| Context Window | 128K | N/A |
| Input Price | $0.06/1M tokens | $0.004/image/1M tokens |
| Output Price | $0.10/1M tokens | N/A/1M tokens |
| Latency | ~450ms | ~3s |
Choose Pixtral Large when:
- ✓ Image analysis
- ✓ Document understanding
- ✓ Chart reading
Strong vision, Good reasoning, Multilingual
Choose SD 3.5 Large when:
- ✓ Detailed illustrations
- ✓ Temple artwork
- ✓ Marketing imagery
High quality, Detailed output, Good composition
Verdict: Pixtral Large vs SD 3.5 Large
For cost efficiency, SD 3.5 Large wins at $0.004/image/1M input tokens. For speed, SD 3.5 Large is faster at ~3s. Pixtral Large excels at Image analysis while SD 3.5 Large is better for Detailed illustrations. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.
Detailed Analysis
Pricing Comparison
Pixtral Large costs $0.06/1M input tokens and $0.10/1M output tokens. SD 3.5 Large costs $0.004/image input and N/A output. SD 3.5 Large is 15.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
Pixtral Large has a 128K context window with ~450ms latency. SD 3.5 Large offers N/A context at ~3s. Pixtral Large has the larger context window.
Best For
Pixtral Large (Vision) is optimized for: Image analysis, Document understanding, Chart reading. SD 3.5 Large (Image) works best for: Detailed illustrations, Temple artwork, Marketing imagery.
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 Pixtral Large
response_a = client.chat.completions.create(
model="pixtral-large",
messages=[{"role": "user", "content": "Your question here"}]
)
# Use SD 3.5 Large
response_b = client.chat.completions.create(
model="stable-diffusion-3-5-large",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, Pixtral Large or SD 3.5 Large?
Pixtral Large (Vision, 124B) offers Strong vision. SD 3.5 Large (Image, 8B) offers High quality. Choose Pixtral Large for Image analysis or SD 3.5 Large for Detailed illustrations.
How much does Pixtral Large cost vs SD 3.5 Large?
Pixtral Large: $0.06/1M input, $0.10/1M output. SD 3.5 Large: $0.004/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 Pixtral Large and SD 3.5 Large by changing the model parameter. No code changes needed.
Related Comparisons
Last updated: 2026-05-21. Pricing and specifications may change. Check pricing page for latest rates.