Qwen 2.5 VL 72B vs Multilingual E5 Large

Compare Qwen 2.5 VL 72B and Multilingual E5 Large: 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 All Microsoft models What is an LLM API? Python Quickstart What is inference?
Feature Qwen 2.5 VL 72B Multilingual E5 Large
CategoryVisionEmbedding
Parameters72B560M
Context Window128K512
Input Price$0.05/1M tokens$0.001/1M tokens
Output Price$0.10/1M tokensN/A/1M tokens
Latency~400ms~20ms

Choose Qwen 2.5 VL 72B when:

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

Vision + language, Strong Asian text OCR, Good reasoning

Choose Multilingual E5 Large when:

  • ✓ Multilingual search
  • ✓ Cross-language RAG
  • ✓ Global apps
Key Strengths:

100+ languages, Strong multilingual, Good quality

Verdict: Qwen 2.5 VL 72B vs Multilingual E5 Large

For cost efficiency, Multilingual E5 Large wins at $0.001/1M input tokens. For speed, Multilingual E5 Large is faster at ~20ms. Qwen 2.5 VL 72B excels at Document analysis while Multilingual E5 Large is better for Multilingual search. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.

Detailed Analysis

Pricing Comparison

Qwen 2.5 VL 72B costs $0.05/1M input tokens and $0.10/1M output tokens. Multilingual E5 Large costs $0.001 input and N/A output. Multilingual E5 Large is 50.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Qwen 2.5 VL 72B has a 128K context window with ~400ms latency. Multilingual E5 Large offers 512 context at ~20ms. Qwen 2.5 VL 72B has the larger context window.

Best For

Qwen 2.5 VL 72B (Vision) is optimized for: Document analysis, Chart reading, Visual Q&A. Multilingual E5 Large (Embedding) works best for: Multilingual search, Cross-language RAG, Global apps.

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 Qwen 2.5 VL 72B
response_a = client.chat.completions.create(
    model="qwen-2-5-vl-72b",
    messages=[{"role": "user", "content": "Your question here"}]
)

# Use Multilingual E5 Large
response_b = client.chat.completions.create(
    model="multilingual-e5-large",
    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, Qwen 2.5 VL 72B or Multilingual E5 Large?

Qwen 2.5 VL 72B (Vision, 72B) offers Vision + language. Multilingual E5 Large (Embedding, 560M) offers 100+ languages. Choose Qwen 2.5 VL 72B for Document analysis or Multilingual E5 Large for Multilingual search.

How much does Qwen 2.5 VL 72B cost vs Multilingual E5 Large?

Qwen 2.5 VL 72B: $0.05/1M input, $0.10/1M output. Multilingual E5 Large: $0.001/1M input, N/A/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 Qwen 2.5 VL 72B and Multilingual E5 Large by changing the model parameter. No code changes needed.

Related Comparisons

Qwen 2.5 VL 72B vs Vedika Vision Qwen 2.5 VL 72B vs Text Embedding 3 Large Qwen 2.5 VL 72B vs Llama 3.2 90B Vision Qwen 2.5 VL 72B vs Llama 3.2 11B Vision Qwen 2.5 VL 72B vs Qwen 2.5 VL 7B Qwen 2.5 VL 72B vs Pixtral Large

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