Vedika Vision vs o3

Compare Vedika Vision and o3: 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 o3
CategoryVisionReasoning
Parameters26B~1T
Context Window32K200K
Input Price$0.08/1M tokens$0.10/1M tokens
Output Price$0.12/1M tokens$0.40/1M tokens
Latency~500ms~2000ms

Choose Vedika Vision when:

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

Chart image analysis, Yantra recognition, Sacred geometry

Choose o3 when:

  • ✓ Complex calculations
  • ✓ Multi-factor analysis
  • ✓ Research-grade work
Key Strengths:

Extended thinking, Complex logic, Mathematical reasoning

Verdict: Vedika Vision vs o3

For cost efficiency, Vedika Vision wins at $0.08/1M input tokens. For speed, o3 is faster at ~2000ms. Vedika Vision excels at Chart image analysis while o3 is better for Complex calculations. 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. o3 costs $0.10 input and $0.40 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. o3 offers 200K context at ~2000ms. o3 has the larger context window.

Best For

Vedika Vision (Vision) is optimized for: Chart image analysis, Temple photo description, Vastu photo analysis. o3 (Reasoning) works best for: Complex calculations, Multi-factor analysis, Research-grade work.

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 o3
response_b = client.chat.completions.create(
    model="o3",
    messages=[{"role": "user", "content": "Your question here"}]
)

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Frequently Asked Questions

Which is better, Vedika Vision or o3?

Vedika Vision (Vision, 26B) offers Chart image analysis. o3 (Reasoning, ~1T) offers Extended thinking. Choose Vedika Vision for Chart image analysis or o3 for Complex calculations.

How much does Vedika Vision cost vs o3?

Vedika Vision: $0.08/1M input, $0.12/1M output. o3: $0.10/1M input, $0.40/1M 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 o3 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.