Qwen 2.5 VL 72B vs Yi Large
Compare Qwen 2.5 VL 72B and Yi 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 | Yi Large |
|---|---|---|
| Category | Vision | Open Source |
| Parameters | 72B | 300B |
| Context Window | 128K | 200K |
| Input Price | $0.05/1M tokens | $0.06/1M tokens |
| Output Price | $0.10/1M tokens | $0.12/1M tokens |
| Latency | ~400ms | ~450ms |
Choose Qwen 2.5 VL 72B when:
- ✓ Document analysis
- ✓ Chart reading
- ✓ Visual Q&A
Vision + language, Strong Asian text OCR, Good reasoning
Choose Yi Large when:
- ✓ Long document analysis
- ✓ Research
- ✓ Complex tasks
200K context, Strong analysis, Good reasoning
Verdict: Qwen 2.5 VL 72B vs Yi Large
For cost efficiency, Qwen 2.5 VL 72B wins at $0.05/1M input tokens. For speed, Qwen 2.5 VL 72B is faster at ~400ms. Qwen 2.5 VL 72B excels at Document analysis while Yi Large is better for Long document analysis. 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. Yi Large costs $0.06 input and $0.12 output. Qwen 2.5 VL 72B is 1.2x 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. Yi Large offers 200K context at ~450ms. Yi Large has the larger context window.
Best For
Qwen 2.5 VL 72B (Vision) is optimized for: Document analysis, Chart reading, Visual Q&A. Yi Large (Open Source) works best for: Long document analysis, Research, Complex tasks.
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 Yi Large
response_b = client.chat.completions.create(
model="yi-large",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, Qwen 2.5 VL 72B or Yi Large?
Qwen 2.5 VL 72B (Vision, 72B) offers Vision + language. Yi Large (Open Source, 300B) offers 200K context. Choose Qwen 2.5 VL 72B for Document analysis or Yi Large for Long document analysis.
How much does Qwen 2.5 VL 72B cost vs Yi Large?
Qwen 2.5 VL 72B: $0.05/1M input, $0.10/1M output. Yi Large: $0.06/1M 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 Qwen 2.5 VL 72B and Yi 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.