Qwen 2.5 VL 72B vs DeepSeek V2.5

Compare Qwen 2.5 VL 72B and DeepSeek V2.5: 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 DeepSeek models What is an LLM API? Python Quickstart What is inference?
Feature Qwen 2.5 VL 72B DeepSeek V2.5
CategoryVisionOpen Source
Parameters72B236B (21B active)
Context Window128K128K
Input Price$0.05/1M tokens$0.04/1M tokens
Output Price$0.10/1M tokens$0.07/1M tokens
Latency~400ms~350ms

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 DeepSeek V2.5 when:

  • ✓ General purpose
  • ✓ Code generation
  • ✓ Legacy apps
Key Strengths:

Proven model, MoE efficient, Good coding

Verdict: Qwen 2.5 VL 72B vs DeepSeek V2.5

For cost efficiency, DeepSeek V2.5 wins at $0.04/1M input tokens. For speed, DeepSeek V2.5 is faster at ~350ms. Qwen 2.5 VL 72B excels at Document analysis while DeepSeek V2.5 is better for General purpose. 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. DeepSeek V2.5 costs $0.04 input and $0.07 output. DeepSeek V2.5 is 1.3x 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. DeepSeek V2.5 offers 128K context at ~350ms. Both have identical context windows.

Best For

Qwen 2.5 VL 72B (Vision) is optimized for: Document analysis, Chart reading, Visual Q&A. DeepSeek V2.5 (Open Source) works best for: General purpose, Code generation, Legacy 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 DeepSeek V2.5
response_b = client.chat.completions.create(
    model="deepseek-v2-5",
    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 DeepSeek V2.5?

Qwen 2.5 VL 72B (Vision, 72B) offers Vision + language. DeepSeek V2.5 (Open Source, 236B (21B active)) offers Proven model. Choose Qwen 2.5 VL 72B for Document analysis or DeepSeek V2.5 for General purpose.

How much does Qwen 2.5 VL 72B cost vs DeepSeek V2.5?

Qwen 2.5 VL 72B: $0.05/1M input, $0.10/1M output. DeepSeek V2.5: $0.04/1M input, $0.07/1M 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 DeepSeek V2.5 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 Gemma 3 27B Qwen 2.5 VL 72B vs Llama 4 Scout Qwen 2.5 VL 72B vs Llama 4 Maverick Qwen 2.5 VL 72B vs Llama 3.3 70B Qwen 2.5 VL 72B vs Llama 3.1 405B

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