Qwen 2.5 72B Turbo vs Arctic Large
Compare Qwen 2.5 72B Turbo and Arctic 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 | Arctic Large |
|---|---|---|
| Category | Open Source | Enterprise |
| Parameters | 72B | 480B (17B active) |
| Context Window | 128K | 128K |
| Input Price | $0.04/1M tokens | $0.06/1M tokens |
| Output Price | $0.08/1M tokens | $0.10/1M tokens |
| Latency | ~300ms | ~400ms |
Choose Qwen 2.5 72B Turbo when:
- ✓ Pan-India apps
- ✓ Multilingual Q&A
- ✓ Content generation
Strong Asian languages, Good reasoning, Fast inference
Choose Arctic Large when:
- ✓ Data analysis
- ✓ SQL generation
- ✓ Business intelligence
Strong SQL, Data analysis, Enterprise features
Verdict: Qwen 2.5 72B Turbo vs Arctic 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 Arctic Large is better for Data 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. Arctic Large costs $0.06 input and $0.10 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. Arctic Large offers 128K context at ~400ms. Both have identical context windows.
Best For
Qwen 2.5 72B Turbo (Open Source) is optimized for: Pan-India apps, Multilingual Q&A, Content generation. Arctic Large (Enterprise) works best for: Data analysis, SQL generation, Business intelligence.
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 Arctic Large
response_b = client.chat.completions.create(
model="arctic-large",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, Qwen 2.5 72B Turbo or Arctic Large?
Qwen 2.5 72B Turbo (Open Source, 72B) offers Strong Asian languages. Arctic Large (Enterprise, 480B (17B active)) offers Strong SQL. Choose Qwen 2.5 72B Turbo for Pan-India apps or Arctic Large for Data analysis.
How much does Qwen 2.5 72B Turbo cost vs Arctic Large?
Qwen 2.5 72B Turbo: $0.04/1M input, $0.08/1M output. Arctic Large: $0.06/1M input, $0.10/1M 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 Arctic 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.