Qwen 2.5 VL 72B vs DeepSeek R1 Distill 32B

Compare Qwen 2.5 VL 72B and DeepSeek R1 Distill 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

All Alibaba models All DeepSeek models What is an LLM API? Python Quickstart What is inference?
Feature Qwen 2.5 VL 72B DeepSeek R1 Distill 32B
CategoryVisionReasoning
Parameters72B32B
Context Window128K128K
Input Price$0.05/1M tokens$0.03/1M tokens
Output Price$0.10/1M tokens$0.06/1M tokens
Latency~400ms~250ms

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 R1 Distill 32B when:

  • ✓ Production reasoning
  • ✓ Analysis
  • ✓ Structured tasks
Key Strengths:

Good reasoning, Moderate cost, Fast

Verdict: Qwen 2.5 VL 72B vs DeepSeek R1 Distill 32B

For cost efficiency, DeepSeek R1 Distill 32B wins at $0.03/1M input tokens. For speed, DeepSeek R1 Distill 32B is faster at ~250ms. Qwen 2.5 VL 72B excels at Document analysis while DeepSeek R1 Distill 32B is better for Production 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

Qwen 2.5 VL 72B costs $0.05/1M input tokens and $0.10/1M output tokens. DeepSeek R1 Distill 32B costs $0.03 input and $0.06 output. DeepSeek R1 Distill 32B is 1.7x 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 R1 Distill 32B offers 128K context at ~250ms. Both have identical context windows.

Best For

Qwen 2.5 VL 72B (Vision) is optimized for: Document analysis, Chart reading, Visual Q&A. DeepSeek R1 Distill 32B (Reasoning) works best for: Production reasoning, Analysis, Structured tasks.

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 R1 Distill 32B
response_b = client.chat.completions.create(
    model="deepseek-r1-distill-32b",
    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 R1 Distill 32B?

Qwen 2.5 VL 72B (Vision, 72B) offers Vision + language. DeepSeek R1 Distill 32B (Reasoning, 32B) offers Good reasoning. Choose Qwen 2.5 VL 72B for Document analysis or DeepSeek R1 Distill 32B for Production reasoning.

How much does Qwen 2.5 VL 72B cost vs DeepSeek R1 Distill 32B?

Qwen 2.5 VL 72B: $0.05/1M input, $0.10/1M output. DeepSeek R1 Distill 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 Qwen 2.5 VL 72B and DeepSeek R1 Distill 32B 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 o3 Qwen 2.5 VL 72B vs o3 Mini Qwen 2.5 VL 72B vs o4-mini Qwen 2.5 VL 72B vs Llama 3.2 90B Vision Qwen 2.5 VL 72B vs Llama 3.2 11B Vision

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