Qwen 2.5 VL 72B vs Arctic Large
Compare Qwen 2.5 VL 72B 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 VL 72B | Arctic Large |
|---|---|---|
| Category | Vision | Enterprise |
| Parameters | 72B | 480B (17B active) |
| Context Window | 128K | 128K |
| Input Price | $0.05/1M tokens | $0.06/1M tokens |
| Output Price | $0.10/1M tokens | $0.10/1M tokens |
| Latency | ~400ms | ~400ms |
Choose Qwen 2.5 VL 72B when:
- ✓ Document analysis
- ✓ Chart reading
- ✓ Visual Q&A
Vision + language, Strong Asian text OCR, Good reasoning
Choose Arctic Large when:
- ✓ Data analysis
- ✓ SQL generation
- ✓ Business intelligence
Strong SQL, Data analysis, Enterprise features
Verdict: Qwen 2.5 VL 72B vs Arctic Large
For cost efficiency, Qwen 2.5 VL 72B wins at $0.05/1M input tokens. For speed, Arctic Large is faster at ~400ms. Qwen 2.5 VL 72B excels at Document analysis 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 VL 72B costs $0.05/1M input tokens and $0.10/1M output tokens. Arctic Large costs $0.06 input and $0.10 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. Arctic Large offers 128K context at ~400ms. Both have identical context windows.
Best For
Qwen 2.5 VL 72B (Vision) is optimized for: Document analysis, Chart reading, Visual Q&A. 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 VL 72B
response_a = client.chat.completions.create(
model="qwen-2-5-vl-72b",
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 VL 72B or Arctic Large?
Qwen 2.5 VL 72B (Vision, 72B) offers Vision + language. Arctic Large (Enterprise, 480B (17B active)) offers Strong SQL. Choose Qwen 2.5 VL 72B for Document analysis or Arctic Large for Data analysis.
How much does Qwen 2.5 VL 72B cost vs Arctic Large?
Qwen 2.5 VL 72B: $0.05/1M input, $0.10/1M 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 VL 72B 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.