Vedika Vision vs Recraft V3

Compare Vedika Vision and Recraft V3: 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 Recraft V3
CategoryVisionImage
Parameters26B~2B
Context Window32KN/A
Input Price$0.08/1M tokens$0.004/image/1M tokens
Output Price$0.12/1M tokensN/A/1M tokens
Latency~500ms~2s

Choose Vedika Vision when:

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

Chart image analysis, Yantra recognition, Sacred geometry

Choose Recraft V3 when:

  • ✓ Product photography
  • ✓ Brand imagery
  • ✓ Marketing materials
Key Strengths:

Brand consistency, Design-focused, Professional quality

Verdict: Vedika Vision vs Recraft V3

For cost efficiency, Recraft V3 wins at $0.004/image/1M input tokens. For speed, Recraft V3 is faster at ~2s. Vedika Vision excels at Chart image analysis while Recraft V3 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 Vision costs $0.08/1M input tokens and $0.12/1M output tokens. Recraft V3 costs $0.004/image input and N/A output. Recraft V3 is 20.0x 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. Recraft V3 offers N/A context at ~2s. Vedika Vision has the larger context window.

Best For

Vedika Vision (Vision) is optimized for: Chart image analysis, Temple photo description, Vastu photo analysis. Recraft V3 (Image) works best for: Product photography, Brand imagery, Marketing materials.

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 Recraft V3
response_b = client.chat.completions.create(
    model="recraft-v3",
    messages=[{"role": "user", "content": "Your question here"}]
)

Start Building with XALEN

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Get API Key Try in Playground

Frequently Asked Questions

Which is better, Vedika Vision or Recraft V3?

Vedika Vision (Vision, 26B) offers Chart image analysis. Recraft V3 (Image, ~2B) offers Brand consistency. Choose Vedika Vision for Chart image analysis or Recraft V3 for Product photography.

How much does Vedika Vision cost vs Recraft V3?

Vedika Vision: $0.08/1M input, $0.12/1M output. Recraft V3: $0.004/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 Vision and Recraft V3 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.