Vedika Standard vs Aya Expanse 32B

Compare Vedika Standard and Aya Expanse 32B: 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 Cohere models What is an LLM API? Python Quickstart What is inference?
Feature Vedika Standard Aya Expanse 32B
CategoryDomain SpecialistOpen Source
Parameters120B32B
Context Window128K128K
Input Price$0.06/1M tokens$0.03/1M tokens
Output Price$0.10/1M tokens$0.06/1M tokens
Latency~400ms~250ms

Choose Vedika Standard when:

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

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

Choose Aya Expanse 32B when:

  • ✓ Multilingual apps
  • ✓ Translation
  • ✓ Global content
Key Strengths:

23 languages, Open weights, Strong multilingual

Verdict: Vedika Standard vs Aya Expanse 32B

For cost efficiency, Aya Expanse 32B wins at $0.03/1M input tokens. For speed, Aya Expanse 32B is faster at ~250ms. Vedika Standard excels at Astrology chatbots while Aya Expanse 32B is better for Multilingual apps. 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. Aya Expanse 32B costs $0.03 input and $0.06 output. Aya Expanse 32B is 2.0x 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. Aya Expanse 32B offers 128K context at ~250ms. Both have identical context windows.

Best For

Vedika Standard (Domain Specialist) is optimized for: Astrology chatbots, Temple content, Devotional Q&A. Aya Expanse 32B (Open Source) works best for: Multilingual apps, Translation, Global content.

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 Aya Expanse 32B
response_b = client.chat.completions.create(
    model="c4ai-aya-expanse-32b",
    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 Aya Expanse 32B?

Vedika Standard (Domain Specialist, 120B) offers 14 Indian languages native. Aya Expanse 32B (Open Source, 32B) offers 23 languages. Choose Vedika Standard for Astrology chatbots or Aya Expanse 32B for Multilingual apps.

How much does Vedika Standard cost vs Aya Expanse 32B?

Vedika Standard: $0.06/1M input, $0.10/1M output. Aya Expanse 32B: $0.03/1M input, $0.06/1M 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 Aya Expanse 32B 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 Gemma 3 27B Vedika Standard vs Llama 4 Scout Vedika Standard vs Llama 4 Maverick Vedika Standard vs Llama 3.3 70B

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