Qwen 2.5 VL 72B vs Voyage Large 2
Compare Qwen 2.5 VL 72B and Voyage Large 2: 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 | Voyage Large 2 |
|---|---|---|
| Category | Vision | Embedding |
| Parameters | 72B | ~500M |
| Context Window | 128K | 16K |
| Input Price | $0.05/1M tokens | $0.002/1M tokens |
| Output Price | $0.10/1M tokens | N/A/1M tokens |
| Latency | ~400ms | ~25ms |
Choose Qwen 2.5 VL 72B when:
- ✓ Document analysis
- ✓ Chart reading
- ✓ Visual Q&A
Vision + language, Strong Asian text OCR, Good reasoning
Choose Voyage Large 2 when:
- ✓ Code search
- ✓ Long document RAG
- ✓ Semantic matching
16K context, High quality, Good for code
Verdict: Qwen 2.5 VL 72B vs Voyage Large 2
For cost efficiency, Voyage Large 2 wins at $0.002/1M input tokens. For speed, Voyage Large 2 is faster at ~25ms. Qwen 2.5 VL 72B excels at Document analysis while Voyage Large 2 is better for Code search. 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. Voyage Large 2 costs $0.002 input and N/A output. Voyage Large 2 is 25.0x 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. Voyage Large 2 offers 16K context at ~25ms. 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. Voyage Large 2 (Embedding) works best for: Code search, Long document RAG, Semantic matching.
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 Voyage Large 2
response_b = client.chat.completions.create(
model="voyage-large-2",
messages=[{"role": "user", "content": "Your question here"}]
)
Frequently Asked Questions
Which is better, Qwen 2.5 VL 72B or Voyage Large 2?
Qwen 2.5 VL 72B (Vision, 72B) offers Vision + language. Voyage Large 2 (Embedding, ~500M) offers 16K context. Choose Qwen 2.5 VL 72B for Document analysis or Voyage Large 2 for Code search.
How much does Qwen 2.5 VL 72B cost vs Voyage Large 2?
Qwen 2.5 VL 72B: $0.05/1M input, $0.10/1M output. Voyage Large 2: $0.002/1M 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 Voyage Large 2 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.