Qwen 2.5 72B Turbo vs E5 Large v2

Compare Qwen 2.5 72B Turbo and E5 Large v2: 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 E5 Large v2
CategoryOpen SourceEmbedding
Parameters72B335M
Context Window128K512
Input Price$0.04/1M tokens$0.002/1M tokens
Output Price$0.08/1M tokensN/A/1M tokens
Latency~300ms~20ms

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 E5 Large v2 when:

  • ✓ Classical text search
  • ✓ RAG pipelines
  • ✓ Knowledge retrieval
Key Strengths:

1024 dimensions, Fast, Multi-lingual

Verdict: Qwen 2.5 72B Turbo vs E5 Large v2

For cost efficiency, E5 Large v2 wins at $0.002/1M input tokens. For speed, E5 Large v2 is faster at ~20ms. Qwen 2.5 72B Turbo excels at Pan-India apps while E5 Large v2 is better for Classical text 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. E5 Large v2 costs $0.002 input and N/A output. E5 Large v2 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. E5 Large v2 offers 512 context at ~20ms. 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. E5 Large v2 (Embedding) works best for: Classical text search, RAG pipelines, Knowledge retrieval.

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 E5 Large v2
response_b = client.chat.completions.create(
    model="e5-large-v2",
    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 E5 Large v2?

Qwen 2.5 72B Turbo (Open Source, 72B) offers Strong Asian languages. E5 Large v2 (Embedding, 335M) offers 1024 dimensions. Choose Qwen 2.5 72B Turbo for Pan-India apps or E5 Large v2 for Classical text search.

How much does Qwen 2.5 72B Turbo cost vs E5 Large v2?

Qwen 2.5 72B Turbo: $0.04/1M input, $0.08/1M output. E5 Large v2: $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 E5 Large v2 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.