Qwen 2.5 72B Turbo vs Voyage Large 2

Compare Qwen 2.5 72B Turbo and Voyage Large 2: 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 Voyage Large 2
CategoryOpen SourceEmbedding
Parameters72B~500M
Context Window128K16K
Input Price$0.04/1M tokens$0.002/1M tokens
Output Price$0.08/1M tokensN/A/1M tokens
Latency~300ms~25ms

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 Voyage Large 2 when:

  • ✓ Code search
  • ✓ Long document RAG
  • ✓ Semantic matching
Key Strengths:

16K context, High quality, Good for code

Verdict: Qwen 2.5 72B Turbo vs Voyage Large 2

For cost efficiency, Voyage Large 2 wins at $0.002/1M input tokens. For speed, Voyage Large 2 is faster at ~25ms. Qwen 2.5 72B Turbo excels at Pan-India apps while Voyage Large 2 is better for Code search. 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. Voyage Large 2 costs $0.002 input and N/A output. Voyage Large 2 is 20.0x 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. Voyage Large 2 offers 16K context at ~25ms. Qwen 2.5 72B Turbo has the larger context window.

Best For

Qwen 2.5 72B Turbo (Open Source) is optimized for: Pan-India apps, Multilingual Q&A, Content generation. Voyage Large 2 (Embedding) works best for: Code search, Long document RAG, Semantic matching.

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 Voyage Large 2
response_b = client.chat.completions.create(
    model="voyage-large-2",
    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 Voyage Large 2?

Qwen 2.5 72B Turbo (Open Source, 72B) offers Strong Asian languages. Voyage Large 2 (Embedding, ~500M) offers 16K context. Choose Qwen 2.5 72B Turbo for Pan-India apps or Voyage Large 2 for Code search.

How much does Qwen 2.5 72B Turbo cost vs Voyage Large 2?

Qwen 2.5 72B Turbo: $0.04/1M input, $0.08/1M output. Voyage Large 2: $0.002/1M input, N/A/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 Voyage Large 2 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.