Vedika Seva Voice vs Qwen 2.5 VL 72B

Compare Vedika Seva Voice and Qwen 2.5 VL 72B: 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 Seva Voice Qwen 2.5 VL 72B
CategoryVoiceVision
ParametersPipeline72B
Context Window30s128K
Input Price$0.015/min/1M tokens$0.05/1M tokens
Output Price$0.02/min/1M tokens$0.10/1M tokens
Latency~300ms~400ms

Choose Vedika Seva Voice when:

  • ✓ Booking confirmations
  • ✓ Queue updates
  • ✓ Service info
Key Strengths:

Clear diction, Service-oriented, Fast response

Choose Qwen 2.5 VL 72B when:

  • ✓ Document analysis
  • ✓ Chart reading
  • ✓ Visual Q&A
Key Strengths:

Vision + language, Strong Asian text OCR, Good reasoning

Verdict: Vedika Seva Voice vs Qwen 2.5 VL 72B

For cost efficiency, Vedika Seva Voice wins at $0.015/min/1M input tokens. For speed, Vedika Seva Voice is faster at ~300ms. Vedika Seva Voice excels at Booking confirmations while Qwen 2.5 VL 72B is better for Document analysis. 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 Seva Voice costs $0.015/min/1M input tokens and $0.02/min/1M output tokens. Qwen 2.5 VL 72B costs $0.05 input and $0.10 output. Vedika Seva Voice is 3.3x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Vedika Seva Voice has a 30s context window with ~300ms latency. Qwen 2.5 VL 72B offers 128K context at ~400ms. Qwen 2.5 VL 72B has the larger context window.

Best For

Vedika Seva Voice (Voice) is optimized for: Booking confirmations, Queue updates, Service info. Qwen 2.5 VL 72B (Vision) works best for: Document analysis, Chart reading, Visual Q&A.

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

# Use Qwen 2.5 VL 72B
response_b = client.chat.completions.create(
    model="qwen-2-5-vl-72b",
    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 Seva Voice or Qwen 2.5 VL 72B?

Vedika Seva Voice (Voice, Pipeline) offers Clear diction. Qwen 2.5 VL 72B (Vision, 72B) offers Vision + language. Choose Vedika Seva Voice for Booking confirmations or Qwen 2.5 VL 72B for Document analysis.

How much does Vedika Seva Voice cost vs Qwen 2.5 VL 72B?

Vedika Seva Voice: $0.015/min/1M input, $0.02/min/1M output. Qwen 2.5 VL 72B: $0.05/1M input, $0.10/1M 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 Seva Voice and Qwen 2.5 VL 72B 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.