Qwen 2.5 72B Turbo vs InternVL 2.5 78B

Compare Qwen 2.5 72B Turbo and InternVL 2.5 78B: pricing, performance, context window, latency, and best use cases. Side-by-side comparison on XALEN.

Updated 2026-05-21 · By Abhishek Raj · Our methodology

All Alibaba models All Shanghai AI Lab models What is an LLM API? Python Quickstart What is inference?
Feature Qwen 2.5 72B Turbo InternVL 2.5 78B
CategoryOpen SourceVision
Parameters72B78B
Context Window128K128K
Input Price$0.04/1M tokens$0.05/1M tokens
Output Price$0.08/1M tokens$0.10/1M tokens
Latency~300ms~400ms

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 InternVL 2.5 78B when:

  • ✓ Document analysis
  • ✓ Chart reading
  • ✓ Visual Q&A
Key Strengths:

Strong visual reasoning, Open weights, Good OCR

Verdict: Qwen 2.5 72B Turbo vs InternVL 2.5 78B

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 InternVL 2.5 78B 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

Qwen 2.5 72B Turbo costs $0.04/1M input tokens and $0.08/1M output tokens. InternVL 2.5 78B costs $0.05 input and $0.10 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. InternVL 2.5 78B offers 128K context at ~400ms. 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. InternVL 2.5 78B (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 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 InternVL 2.5 78B
response_b = client.chat.completions.create(
    model="internvl-2-5-78b",
    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 InternVL 2.5 78B?

Qwen 2.5 72B Turbo (Open Source, 72B) offers Strong Asian languages. InternVL 2.5 78B (Vision, 78B) offers Strong visual reasoning. Choose Qwen 2.5 72B Turbo for Pan-India apps or InternVL 2.5 78B for Document analysis.

How much does Qwen 2.5 72B Turbo cost vs InternVL 2.5 78B?

Qwen 2.5 72B Turbo: $0.04/1M input, $0.08/1M output. InternVL 2.5 78B: $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 Qwen 2.5 72B Turbo and InternVL 2.5 78B by changing the model parameter. No code changes needed.

Related Comparisons

Qwen 2.5 72B Turbo vs Vedika Vision Qwen 2.5 72B Turbo vs Gemma 3 27B Qwen 2.5 72B Turbo vs Llama 4 Scout Qwen 2.5 72B Turbo vs Llama 4 Maverick Qwen 2.5 72B Turbo vs Llama 3.3 70B Qwen 2.5 72B Turbo vs Llama 3.1 405B

Last updated: 2026-05-21. Pricing and specifications may change. Check pricing page for latest rates.