Vedika Pro Ultra vs Imagen 3

Compare Vedika Pro Ultra and Imagen 3: 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 Pro Ultra Imagen 3
CategoryDomain SpecialistImage
Parameters120B~5B
Context Window256KN/A
Input Price$0.12/1M tokens$0.04/image/1M tokens
Output Price$0.20/1M tokensN/A/1M tokens
Latency~600ms~4s

Choose Vedika Pro Ultra when:

  • ✓ Kundali matching reports
  • ✓ Multi-chart analysis
  • ✓ Enterprise platforms
Key Strengths:

256K context, Deep yoga reasoning, Multi-system comparison

Choose Imagen 3 when:

  • ✓ Product photography
  • ✓ Marketing visuals
  • ✓ Social media
Key Strengths:

Photorealistic quality, Good text rendering, Safe outputs

Verdict: Vedika Pro Ultra vs Imagen 3

For cost efficiency, Imagen 3 wins at $0.04/image/1M input tokens. For speed, Imagen 3 is faster at ~4s. Vedika Pro Ultra excels at Kundali matching reports while Imagen 3 is better for Product photography. 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. Imagen 3 costs $0.04/image input and N/A output. Imagen 3 is 3.0x 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. Imagen 3 offers N/A context at ~4s. 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. Imagen 3 (Image) works best for: Product photography, Marketing visuals, Social media.

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 Imagen 3
response_b = client.chat.completions.create(
    model="imagen-3",
    messages=[{"role": "user", "content": "Your question here"}]
)

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Frequently Asked Questions

Which is better, Vedika Pro Ultra or Imagen 3?

Vedika Pro Ultra (Domain Specialist, 120B) offers 256K context. Imagen 3 (Image, ~5B) offers Photorealistic quality. Choose Vedika Pro Ultra for Kundali matching reports or Imagen 3 for Product photography.

How much does Vedika Pro Ultra cost vs Imagen 3?

Vedika Pro Ultra: $0.12/1M input, $0.20/1M output. Imagen 3: $0.04/image/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 Imagen 3 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.