Vedika Vision vs Gemma 3 4B

Compare Vedika Vision and Gemma 3 4B: 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 Gemma 3 4B
CategoryVisionCompact
Parameters26B4B
Context Window32K128K
Input Price$0.08/1M tokens$0.008/1M tokens
Output Price$0.12/1M tokens$0.015/1M tokens
Latency~500ms~60ms

Choose Vedika Vision when:

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

Chart image analysis, Yantra recognition, Sacred geometry

Choose Gemma 3 4B when:

  • ✓ Intent detection
  • ✓ Keyword extraction
  • ✓ Preprocessing
Key Strengths:

Ultra-small, Fastest inference, Minimal cost

Verdict: Vedika Vision vs Gemma 3 4B

For cost efficiency, Gemma 3 4B wins at $0.008/1M input tokens. For speed, Vedika Vision is faster at ~500ms. Vedika Vision excels at Chart image analysis while Gemma 3 4B is better for Intent detection. 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. Gemma 3 4B costs $0.008 input and $0.015 output. Gemma 3 4B is 10.0x 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. Gemma 3 4B offers 128K context at ~60ms. Gemma 3 4B has the larger context window.

Best For

Vedika Vision (Vision) is optimized for: Chart image analysis, Temple photo description, Vastu photo analysis. Gemma 3 4B (Compact) works best for: Intent detection, Keyword extraction, Preprocessing.

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 Gemma 3 4B
response_b = client.chat.completions.create(
    model="gemma-3-4b",
    messages=[{"role": "user", "content": "Your question here"}]
)

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Get API Key Try in Playground

Frequently Asked Questions

Which is better, Vedika Vision or Gemma 3 4B?

Vedika Vision (Vision, 26B) offers Chart image analysis. Gemma 3 4B (Compact, 4B) offers Ultra-small. Choose Vedika Vision for Chart image analysis or Gemma 3 4B for Intent detection.

How much does Vedika Vision cost vs Gemma 3 4B?

Vedika Vision: $0.08/1M input, $0.12/1M output. Gemma 3 4B: $0.008/1M input, $0.015/1M 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 Gemma 3 4B 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.