DeepSeek R1 vs Qwen 2.5 VL 72B

Compare DeepSeek R1 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 DeepSeek R1 Qwen 2.5 VL 72B
CategoryReasoningVision
Parameters671B72B
Context Window128K128K
Input Price$0.08/1M tokens$0.05/1M tokens
Output Price$0.15/1M tokens$0.10/1M tokens
Latency~800ms~400ms

Choose DeepSeek R1 when:

  • ✓ Complex yoga calculations
  • ✓ Dasha analysis
  • ✓ Research-grade analysis
Key Strengths:

Chain-of-thought, Complex calculations, Transparent thinking

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: DeepSeek R1 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. DeepSeek R1 excels at Complex yoga calculations 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

DeepSeek R1 costs $0.08/1M input tokens and $0.15/1M 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

DeepSeek R1 has a 128K context window with ~800ms latency. Qwen 2.5 VL 72B offers 128K context at ~400ms. Both have identical context windows.

Best For

DeepSeek R1 (Reasoning) is optimized for: Complex yoga calculations, Dasha analysis, Research-grade 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 DeepSeek R1
response_a = client.chat.completions.create(
    model="deepseek-r1",
    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, DeepSeek R1 or Qwen 2.5 VL 72B?

DeepSeek R1 (Reasoning, 671B) offers Chain-of-thought. Qwen 2.5 VL 72B (Vision, 72B) offers Vision + language. Choose DeepSeek R1 for Complex yoga calculations or Qwen 2.5 VL 72B for Document analysis.

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

DeepSeek R1: $0.08/1M input, $0.15/1M 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 DeepSeek R1 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.