Vedika Standard vs Meshy v4
Compare Vedika Standard 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 Standard | Meshy v4 |
|---|---|---|
| Category | Domain Specialist | 3D |
| Parameters | 120B | ~3B |
| Context Window | 128K | N/A |
| Input Price | $0.06/1M tokens | $0.10/model/1M tokens |
| Output Price | $0.10/1M tokens | N/A/1M tokens |
| Latency | ~400ms | ~60s |
Choose Vedika Standard when:
- ✓ Astrology chatbots
- ✓ Temple content
- ✓ Devotional Q&A
14 Indian languages native, 131 computed yogas, Classical text citations
Choose Meshy v4 when:
- ✓ 3D asset creation
- ✓ Game assets
- ✓ Product visualization
3D model output, PBR textures, Multiple formats
Verdict: Vedika Standard vs Meshy v4
For cost efficiency, Vedika Standard wins at $0.06/1M input tokens. For speed, Vedika Standard is faster at ~400ms. Vedika Standard excels at Astrology chatbots 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 Standard costs $0.06/1M input tokens and $0.10/1M output tokens. Meshy v4 costs $0.10/model input and N/A output. Vedika Standard is 1.7x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
Vedika Standard has a 128K context window with ~400ms latency. Meshy v4 offers N/A context at ~60s. Vedika Standard has the larger context window.
Best For
Vedika Standard (Domain Specialist) is optimized for: Astrology chatbots, Temple content, Devotional 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 Vedika Standard
response_a = client.chat.completions.create(
model="vedika-standard",
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 Standard or Meshy v4?
Vedika Standard (Domain Specialist, 120B) offers 14 Indian languages native. Meshy v4 (3D, ~3B) offers 3D model output. Choose Vedika Standard for Astrology chatbots or Meshy v4 for 3D asset creation.
How much does Vedika Standard cost vs Meshy v4?
Vedika Standard: $0.06/1M 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 Vedika Standard 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.