Vedika Pro Ultra vs Meshy v4
Compare Vedika Pro Ultra 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 | Vedika Pro Ultra | Meshy v4 |
|---|---|---|
| Category | Domain Specialist | 3D |
| Parameters | 120B | ~3B |
| Context Window | 256K | N/A |
| Input Price | $0.12/1M tokens | $0.10/model/1M tokens |
| Output Price | $0.20/1M tokens | N/A/1M tokens |
| Latency | ~600ms | ~60s |
Choose Vedika Pro Ultra when:
- ✓ Kundali matching reports
- ✓ Multi-chart analysis
- ✓ Enterprise platforms
256K context, Deep yoga reasoning, Multi-system comparison
Choose Meshy v4 when:
- ✓ 3D asset creation
- ✓ Game assets
- ✓ Product visualization
3D model output, PBR textures, Multiple formats
Verdict: Vedika Pro Ultra vs Meshy v4
For cost efficiency, Meshy v4 wins at $0.10/model/1M input tokens. For speed, Vedika Pro Ultra is faster at ~600ms. Vedika Pro Ultra excels at Kundali matching reports 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
Vedika Pro Ultra costs $0.12/1M input tokens and $0.20/1M output tokens. Meshy v4 costs $0.10/model input and N/A output. Meshy v4 is 1.2x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
Vedika Pro Ultra has a 256K context window with ~600ms latency. Meshy v4 offers N/A context at ~60s. Vedika Pro Ultra has the larger context window.
Best For
Vedika Pro Ultra (Domain Specialist) is optimized for: Kundali matching reports, Multi-chart analysis, Enterprise platforms. 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 Vedika Pro Ultra
response_a = client.chat.completions.create(
model="vedika-pro-ultra",
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, Vedika Pro Ultra or Meshy v4?
Vedika Pro Ultra (Domain Specialist, 120B) offers 256K context. Meshy v4 (3D, ~3B) offers 3D model output. Choose Vedika Pro Ultra for Kundali matching reports or Meshy v4 for 3D asset creation.
How much does Vedika Pro Ultra cost vs Meshy v4?
Vedika Pro Ultra: $0.12/1M input, $0.20/1M 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 Vedika Pro Ultra 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.