Qwen 2.5 VL 72B vs SD 3.5 Large
Compare Qwen 2.5 VL 72B 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 | Qwen 2.5 VL 72B | SD 3.5 Large |
|---|---|---|
| Category | Vision | Image |
| Parameters | 72B | 8B |
| Context Window | 128K | N/A |
| Input Price | $0.05/1M tokens | $0.004/image/1M tokens |
| Output Price | $0.10/1M tokens | N/A/1M tokens |
| Latency | ~400ms | ~3s |
Choose Qwen 2.5 VL 72B when:
- ✓ Document analysis
- ✓ Chart reading
- ✓ Visual Q&A
Vision + language, Strong Asian text OCR, Good reasoning
Choose SD 3.5 Large when:
- ✓ Detailed illustrations
- ✓ Temple artwork
- ✓ Marketing imagery
High quality, Detailed output, Good composition
Verdict: Qwen 2.5 VL 72B 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. Qwen 2.5 VL 72B excels at Document 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
Qwen 2.5 VL 72B costs $0.05/1M 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 12.5x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
Qwen 2.5 VL 72B has a 128K context window with ~400ms latency. SD 3.5 Large offers N/A context at ~3s. Qwen 2.5 VL 72B has the larger context window.
Best For
Qwen 2.5 VL 72B (Vision) is optimized for: Document analysis, Chart reading, Visual Q&A. 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 Qwen 2.5 VL 72B
response_a = client.chat.completions.create(
model="qwen-2-5-vl-72b",
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, Qwen 2.5 VL 72B or SD 3.5 Large?
Qwen 2.5 VL 72B (Vision, 72B) offers Vision + language. SD 3.5 Large (Image, 8B) offers High quality. Choose Qwen 2.5 VL 72B for Document analysis or SD 3.5 Large for Detailed illustrations.
How much does Qwen 2.5 VL 72B cost vs SD 3.5 Large?
Qwen 2.5 VL 72B: $0.05/1M 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 Qwen 2.5 VL 72B and SD 3.5 Large 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.