DeepSeek V3 vs Qwen 2.5 VL 72B

Compare DeepSeek V3 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 V3 Qwen 2.5 VL 72B
CategoryOpen SourceVision
Parameters671B (37B active)72B
Context Window128K128K
Input Price$0.05/1M tokens$0.05/1M tokens
Output Price$0.09/1M tokens$0.10/1M tokens
Latency~400ms~400ms

Choose DeepSeek V3 when:

  • ✓ API response generation
  • ✓ High-volume processing
  • ✓ Code
Key Strengths:

MoE efficiency, Strong coding, Good structured output

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 V3 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 V3 excels at API response generation 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 V3 costs $0.05/1M input tokens and $0.09/1M output tokens. Qwen 2.5 VL 72B costs $0.05 input and $0.10 output. Both models are similarly priced. XALEN offers batch processing at 50% discount on both models.

Performance & Context

DeepSeek V3 has a 128K context window with ~400ms latency. Qwen 2.5 VL 72B offers 128K context at ~400ms. Both have identical context windows.

Best For

DeepSeek V3 (Open Source) is optimized for: API response generation, High-volume processing, Code. 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 V3
response_a = client.chat.completions.create(
    model="deepseek-v3",
    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 V3 or Qwen 2.5 VL 72B?

DeepSeek V3 (Open Source, 671B (37B active)) offers MoE efficiency. Qwen 2.5 VL 72B (Vision, 72B) offers Vision + language. Choose DeepSeek V3 for API response generation or Qwen 2.5 VL 72B for Document analysis.

How much does DeepSeek V3 cost vs Qwen 2.5 VL 72B?

DeepSeek V3: $0.05/1M input, $0.09/1M 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 V3 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.