Qwen 2.5 VL 72B vs Meshy v4
Compare Qwen 2.5 VL 72B and Meshy v4: 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 | Meshy v4 |
|---|---|---|
| Category | Vision | 3D |
| Parameters | 72B | ~3B |
| Context Window | 128K | N/A |
| Input Price | $0.05/1M tokens | $0.10/model/1M tokens |
| Output Price | $0.10/1M tokens | N/A/1M tokens |
| Latency | ~400ms | ~60s |
Choose Qwen 2.5 VL 72B when:
- ✓ Document analysis
- ✓ Chart reading
- ✓ Visual Q&A
Vision + language, Strong Asian text OCR, Good reasoning
Choose Meshy v4 when:
- ✓ 3D asset creation
- ✓ Game assets
- ✓ Product visualization
3D model output, PBR textures, Multiple formats
Verdict: Qwen 2.5 VL 72B vs Meshy v4
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 Meshy v4 is better for 3D asset creation. 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. Meshy v4 costs $0.10/model input and N/A output. Qwen 2.5 VL 72B is 2.0x 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. Meshy v4 offers N/A context at ~60s. 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. Meshy v4 (3D) works best for: 3D asset creation, Game assets, Product visualization.
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 Meshy v4
response_b = client.chat.completions.create(
model="meshy-4",
messages=[{"role": "user", "content": "Your question here"}]
)
Frequently Asked Questions
Which is better, Qwen 2.5 VL 72B or Meshy v4?
Qwen 2.5 VL 72B (Vision, 72B) offers Vision + language. Meshy v4 (3D, ~3B) offers 3D model output. Choose Qwen 2.5 VL 72B for Document analysis or Meshy v4 for 3D asset creation.
How much does Qwen 2.5 VL 72B cost vs Meshy v4?
Qwen 2.5 VL 72B: $0.05/1M input, $0.10/1M output. Meshy v4: $0.10/model/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 Meshy v4 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.