Qwen 2.5 72B Turbo vs Yi Large
Compare Qwen 2.5 72B Turbo 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 72B Turbo | Yi Large |
|---|---|---|
| Category | Open Source | Open Source |
| Parameters | 72B | 300B |
| Context Window | 128K | 200K |
| Input Price | $0.04/1M tokens | $0.06/1M tokens |
| Output Price | $0.08/1M tokens | $0.12/1M tokens |
| Latency | ~300ms | ~450ms |
Choose Qwen 2.5 72B Turbo when:
- ✓ Pan-India apps
- ✓ Multilingual Q&A
- ✓ Content generation
Strong Asian languages, Good reasoning, Fast inference
Choose Yi Large when:
- ✓ Long document analysis
- ✓ Research
- ✓ Complex tasks
200K context, Strong analysis, Good reasoning
Verdict: Qwen 2.5 72B Turbo vs Yi Large
For cost efficiency, Qwen 2.5 72B Turbo wins at $0.04/1M input tokens. For speed, Qwen 2.5 72B Turbo is faster at ~300ms. Qwen 2.5 72B Turbo excels at Pan-India apps 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 72B Turbo costs $0.04/1M input tokens and $0.08/1M output tokens. Yi Large costs $0.06 input and $0.12 output. Qwen 2.5 72B Turbo is 1.5x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
Qwen 2.5 72B Turbo has a 128K context window with ~300ms latency. Yi Large offers 200K context at ~450ms. Yi Large has the larger context window.
Best For
Qwen 2.5 72B Turbo (Open Source) is optimized for: Pan-India apps, Multilingual Q&A, Content generation. 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 72B Turbo
response_a = client.chat.completions.create(
model="qwen-2-5-72b-turbo",
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 72B Turbo or Yi Large?
Qwen 2.5 72B Turbo (Open Source, 72B) offers Strong Asian languages. Yi Large (Open Source, 300B) offers 200K context. Choose Qwen 2.5 72B Turbo for Pan-India apps or Yi Large for Long document analysis.
How much does Qwen 2.5 72B Turbo cost vs Yi Large?
Qwen 2.5 72B Turbo: $0.04/1M input, $0.08/1M 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 72B Turbo 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.