DeepSeek R1 Distill 70B vs Qwen 2.5 VL 72B

Compare DeepSeek R1 Distill 70B 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 Distill 70B Qwen 2.5 VL 72B
CategoryReasoningVision
Parameters70B72B
Context Window128K128K
Input Price$0.04/1M tokens$0.05/1M tokens
Output Price$0.08/1M tokens$0.10/1M tokens
Latency~400ms~400ms

Choose DeepSeek R1 Distill 70B when:

  • ✓ Production reasoning
  • ✓ Batch processing
  • ✓ Cost-sensitive
Key Strengths:

Reasoning distilled, Faster than full R1, Cost-efficient

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 Distill 70B vs Qwen 2.5 VL 72B

For cost efficiency, DeepSeek R1 Distill 70B wins at $0.04/1M input tokens. For speed, Qwen 2.5 VL 72B is faster at ~400ms. DeepSeek R1 Distill 70B excels at Production reasoning 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 Distill 70B costs $0.04/1M input tokens and $0.08/1M output tokens. Qwen 2.5 VL 72B costs $0.05 input and $0.10 output. DeepSeek R1 Distill 70B is 1.3x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

DeepSeek R1 Distill 70B 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 R1 Distill 70B (Reasoning) is optimized for: Production reasoning, Batch processing, Cost-sensitive. 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 Distill 70B
response_a = client.chat.completions.create(
    model="deepseek-r1-distill-70b",
    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 Distill 70B or Qwen 2.5 VL 72B?

DeepSeek R1 Distill 70B (Reasoning, 70B) offers Reasoning distilled. Qwen 2.5 VL 72B (Vision, 72B) offers Vision + language. Choose DeepSeek R1 Distill 70B for Production reasoning or Qwen 2.5 VL 72B for Document analysis.

How much does DeepSeek R1 Distill 70B cost vs Qwen 2.5 VL 72B?

DeepSeek R1 Distill 70B: $0.04/1M input, $0.08/1M 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 Distill 70B 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.