Vedika Standard vs Stable Image Ultra

Compare Vedika Standard and Stable Image Ultra: pricing, performance, context window, latency, and best use cases. Side-by-side comparison on XALEN.

Updated 2026-05-21 · By Abhishek Raj · Our methodology

All Stability AI models What is an LLM API? Python Quickstart What is inference?
Feature Vedika Standard Stable Image Ultra
CategoryDomain SpecialistImage
Parameters120B~12B
Context Window128KN/A
Input Price$0.06/1M tokens$0.008/image/1M tokens
Output Price$0.10/1M tokensN/A/1M tokens
Latency~400ms~4s

Choose Vedika Standard when:

  • ✓ Astrology chatbots
  • ✓ Temple content
  • ✓ Devotional Q&A
Key Strengths:

14 Indian languages native, 131 computed yogas, Classical text citations

Choose Stable Image Ultra when:

  • ✓ Premium photography
  • ✓ Marketing
  • ✓ Product shoots
Key Strengths:

Highest quality, Photorealistic, Professional

Verdict: Vedika Standard vs Stable Image Ultra

For cost efficiency, Stable Image Ultra wins at $0.008/image/1M input tokens. For speed, Vedika Standard is faster at ~400ms. Vedika Standard excels at Astrology chatbots while Stable Image Ultra is better for Premium 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 Standard costs $0.06/1M input tokens and $0.10/1M output tokens. Stable Image Ultra costs $0.008/image input and N/A output. Stable Image Ultra is 7.5x 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. Stable Image Ultra offers N/A context at ~4s. Vedika Standard has the larger context window.

Best For

Vedika Standard (Domain Specialist) is optimized for: Astrology chatbots, Temple content, Devotional Q&A. Stable Image Ultra (Image) works best for: Premium photography, Marketing, Product shoots.

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 Stable Image Ultra
response_b = client.chat.completions.create(
    model="stable-image-ultra",
    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 Standard or Stable Image Ultra?

Vedika Standard (Domain Specialist, 120B) offers 14 Indian languages native. Stable Image Ultra (Image, ~12B) offers Highest quality. Choose Vedika Standard for Astrology chatbots or Stable Image Ultra for Premium photography.

How much does Vedika Standard cost vs Stable Image Ultra?

Vedika Standard: $0.06/1M input, $0.10/1M output. Stable Image Ultra: $0.008/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 Standard and Stable Image Ultra by changing the model parameter. No code changes needed.

Related Comparisons

Vedika Standard vs Vedika Fast Vedika Standard vs Vedika Pro Ultra Vedika Standard vs DALL-E 3 Vedika Standard vs Imagen 3 Vedika Standard vs FLUX 1.1 Pro Vedika Standard vs FLUX.1 Schnell

Last updated: 2026-05-21. Pricing and specifications may change. Check pricing page for latest rates.