Vedika Vision vs Meshy v4

Compare Vedika Vision 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

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Feature Vedika Vision Meshy v4
CategoryVision3D
Parameters26B~3B
Context Window32KN/A
Input Price$0.08/1M tokens$0.10/model/1M tokens
Output Price$0.12/1M tokensN/A/1M tokens
Latency~500ms~60s

Choose Vedika Vision when:

  • ✓ Chart image analysis
  • ✓ Temple photo description
  • ✓ Vastu photo analysis
Key Strengths:

Chart image analysis, Yantra recognition, Sacred geometry

Choose Meshy v4 when:

  • ✓ 3D asset creation
  • ✓ Game assets
  • ✓ Product visualization
Key Strengths:

3D model output, PBR textures, Multiple formats

Verdict: Vedika Vision vs Meshy v4

For cost efficiency, Vedika Vision wins at $0.08/1M input tokens. For speed, Vedika Vision is faster at ~500ms. Vedika Vision excels at Chart image 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

Vedika Vision costs $0.08/1M input tokens and $0.12/1M output tokens. Meshy v4 costs $0.10/model input and N/A output. Vedika Vision is 1.3x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Vedika Vision has a 32K context window with ~500ms latency. Meshy v4 offers N/A context at ~60s. Vedika Vision has the larger context window.

Best For

Vedika Vision (Vision) is optimized for: Chart image analysis, Temple photo description, Vastu photo analysis. 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 Vision
response_a = client.chat.completions.create(
    model="vedika-vision",
    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"}]
)

Start Building with XALEN

200+ AI models. One API. Pay-as-you-go.

Get API Key Try in Playground

Frequently Asked Questions

Which is better, Vedika Vision or Meshy v4?

Vedika Vision (Vision, 26B) offers Chart image analysis. Meshy v4 (3D, ~3B) offers 3D model output. Choose Vedika Vision for Chart image analysis or Meshy v4 for 3D asset creation.

How much does Vedika Vision cost vs Meshy v4?

Vedika Vision: $0.08/1M input, $0.12/1M 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 Vision 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.