Vedika Fast vs QwQ 32B

Compare Vedika Fast and QwQ 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

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Feature Vedika Fast QwQ 32B
CategoryDomain SpecialistReasoning
Parameters8B32B
Context Window32K128K
Input Price$0.04/1M tokens$0.03/1M tokens
Output Price$0.06/1M tokens$0.06/1M tokens
Latency~120ms~400ms

Choose Vedika Fast when:

  • ✓ Voice astrology bots
  • ✓ Real-time chatbots
  • ✓ Temple kiosks
Key Strengths:

Sub-200ms latency, Voice-optimized, Real-time chat

Choose QwQ 32B when:

  • ✓ Math reasoning
  • ✓ Logic tasks
  • ✓ Analysis
Key Strengths:

Strong reasoning, Compact for reasoning, Cost-efficient

Verdict: Vedika Fast vs QwQ 32B

For cost efficiency, QwQ 32B wins at $0.03/1M input tokens. For speed, Vedika Fast is faster at ~120ms. Vedika Fast excels at Voice astrology bots while QwQ 32B is better for Math reasoning. 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 Fast costs $0.04/1M input tokens and $0.06/1M output tokens. QwQ 32B costs $0.03 input and $0.06 output. QwQ 32B is 1.3x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Vedika Fast has a 32K context window with ~120ms latency. QwQ 32B offers 128K context at ~400ms. QwQ 32B has the larger context window.

Best For

Vedika Fast (Domain Specialist) is optimized for: Voice astrology bots, Real-time chatbots, Temple kiosks. QwQ 32B (Reasoning) works best for: Math reasoning, Logic tasks, Analysis.

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

# Use QwQ 32B
response_b = client.chat.completions.create(
    model="qwq-32b",
    messages=[{"role": "user", "content": "Your question here"}]
)

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Frequently Asked Questions

Which is better, Vedika Fast or QwQ 32B?

Vedika Fast (Domain Specialist, 8B) offers Sub-200ms latency. QwQ 32B (Reasoning, 32B) offers Strong reasoning. Choose Vedika Fast for Voice astrology bots or QwQ 32B for Math reasoning.

How much does Vedika Fast cost vs QwQ 32B?

Vedika Fast: $0.04/1M input, $0.06/1M output. QwQ 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 Fast and QwQ 32B 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.