Vedika Vision vs Qwen 2.5 VL 72B

Compare Vedika Vision 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

All Alibaba models What is an LLM API? Python Quickstart What is inference?
Feature Vedika Vision Qwen 2.5 VL 72B
CategoryVisionVision
Parameters26B72B
Context Window32K128K
Input Price$0.08/1M tokens$0.05/1M tokens
Output Price$0.12/1M tokens$0.10/1M tokens
Latency~500ms~400ms

Choose Vedika Vision when:

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

Chart image analysis, Yantra recognition, Sacred geometry

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 Vision vs Qwen 2.5 VL 72B

For cost efficiency, Qwen 2.5 VL 72B wins at $0.05/1M input tokens. For speed, Qwen 2.5 VL 72B is faster at ~400ms. Vedika Vision excels at Chart image analysis 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 Vision costs $0.08/1M input tokens and $0.12/1M output tokens. Qwen 2.5 VL 72B costs $0.05 input and $0.10 output. Qwen 2.5 VL 72B is 1.6x 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. Qwen 2.5 VL 72B offers 128K context at ~400ms. Qwen 2.5 VL 72B has the larger context window.

Best For

Vedika Vision (Vision) is optimized for: Chart image analysis, Temple photo description, Vastu photo analysis. 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 Vision
response_a = client.chat.completions.create(
    model="vedika-vision",
    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 Vision or Qwen 2.5 VL 72B?

Vedika Vision (Vision, 26B) offers Chart image analysis. Qwen 2.5 VL 72B (Vision, 72B) offers Vision + language. Choose Vedika Vision for Chart image analysis or Qwen 2.5 VL 72B for Document analysis.

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

Vedika Vision: $0.08/1M input, $0.12/1M 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 Vision and Qwen 2.5 VL 72B by changing the model parameter. No code changes needed.

Related Comparisons

Vedika Vision vs Llama 3.2 90B Vision Vedika Vision vs Llama 3.2 11B Vision Vedika Vision vs Qwen 2.5 VL 7B Vedika Vision vs Pixtral Large Vedika Vision vs Pixtral 12B Vedika Vision vs InternVL 2.5 78B

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