Qwen 2.5 72B Turbo vs Baichuan 4

Compare Qwen 2.5 72B Turbo and Baichuan 4: 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 Qwen 2.5 72B Turbo Baichuan 4
CategoryOpen SourceOpen Source
Parameters72B~130B
Context Window128K128K
Input Price$0.04/1M tokens$0.05/1M tokens
Output Price$0.08/1M tokens$0.09/1M tokens
Latency~300ms~350ms

Choose Qwen 2.5 72B Turbo when:

  • ✓ Pan-India apps
  • ✓ Multilingual Q&A
  • ✓ Content generation
Key Strengths:

Strong Asian languages, Good reasoning, Fast inference

Choose Baichuan 4 when:

  • ✓ Chinese content
  • ✓ Cultural analysis
  • ✓ Bilingual apps
Key Strengths:

Strong Chinese, Cultural knowledge, Good reasoning

Verdict: Qwen 2.5 72B Turbo vs Baichuan 4

For cost efficiency, Qwen 2.5 72B Turbo wins at $0.04/1M input tokens. For speed, Qwen 2.5 72B Turbo is faster at ~300ms. Qwen 2.5 72B Turbo excels at Pan-India apps while Baichuan 4 is better for Chinese content. 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 72B Turbo costs $0.04/1M input tokens and $0.08/1M output tokens. Baichuan 4 costs $0.05 input and $0.09 output. Qwen 2.5 72B Turbo is 1.3x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Qwen 2.5 72B Turbo has a 128K context window with ~300ms latency. Baichuan 4 offers 128K context at ~350ms. Both have identical context windows.

Best For

Qwen 2.5 72B Turbo (Open Source) is optimized for: Pan-India apps, Multilingual Q&A, Content generation. Baichuan 4 (Open Source) works best for: Chinese content, Cultural analysis, Bilingual 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 72B Turbo
response_a = client.chat.completions.create(
    model="qwen-2-5-72b-turbo",
    messages=[{"role": "user", "content": "Your question here"}]
)

# Use Baichuan 4
response_b = client.chat.completions.create(
    model="baichuan-4",
    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 72B Turbo or Baichuan 4?

Qwen 2.5 72B Turbo (Open Source, 72B) offers Strong Asian languages. Baichuan 4 (Open Source, ~130B) offers Strong Chinese. Choose Qwen 2.5 72B Turbo for Pan-India apps or Baichuan 4 for Chinese content.

How much does Qwen 2.5 72B Turbo cost vs Baichuan 4?

Qwen 2.5 72B Turbo: $0.04/1M input, $0.08/1M output. Baichuan 4: $0.05/1M input, $0.09/1M 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 72B Turbo and Baichuan 4 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.