Vedika Code vs Gemma 3 12B

Compare Vedika Code and Gemma 3 12B: 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 Code Gemma 3 12B
CategoryCodeCompact
Parameters33B12B
Context Window64K128K
Input Price$0.04/1M tokens$0.015/1M tokens
Output Price$0.06/1M tokens$0.03/1M tokens
Latency~250ms~100ms

Choose Vedika Code when:

  • ✓ API integration code
  • ✓ Temple systems
  • ✓ SDK examples
Key Strengths:

Faith-tech code patterns, API integration code, Temple system boilerplate

Choose Gemma 3 12B when:

  • ✓ Edge deployments
  • ✓ Classification
  • ✓ Simple chatbots
Key Strengths:

Very compact, Fast, Low cost

Verdict: Vedika Code vs Gemma 3 12B

For cost efficiency, Gemma 3 12B wins at $0.015/1M input tokens. For speed, Gemma 3 12B is faster at ~100ms. Vedika Code excels at API integration code while Gemma 3 12B is better for Edge deployments. 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 Code costs $0.04/1M input tokens and $0.06/1M output tokens. Gemma 3 12B costs $0.015 input and $0.03 output. Gemma 3 12B is 2.7x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Vedika Code has a 64K context window with ~250ms latency. Gemma 3 12B offers 128K context at ~100ms. Gemma 3 12B has the larger context window.

Best For

Vedika Code (Code) is optimized for: API integration code, Temple systems, SDK examples. Gemma 3 12B (Compact) works best for: Edge deployments, Classification, Simple chatbots.

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 Code
response_a = client.chat.completions.create(
    model="vedika-code",
    messages=[{"role": "user", "content": "Your question here"}]
)

# Use Gemma 3 12B
response_b = client.chat.completions.create(
    model="gemma-3-12b",
    messages=[{"role": "user", "content": "Your question here"}]
)

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Get API Key Try in Playground

Frequently Asked Questions

Which is better, Vedika Code or Gemma 3 12B?

Vedika Code (Code, 33B) offers Faith-tech code patterns. Gemma 3 12B (Compact, 12B) offers Very compact. Choose Vedika Code for API integration code or Gemma 3 12B for Edge deployments.

How much does Vedika Code cost vs Gemma 3 12B?

Vedika Code: $0.04/1M input, $0.06/1M output. Gemma 3 12B: $0.015/1M input, $0.03/1M 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 Code and Gemma 3 12B 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.