Qwen 2.5 72B Turbo vs Pixtral 12B
Compare Qwen 2.5 72B Turbo and Pixtral 12B: pricing, performance, context window, latency, and best use cases. Side-by-side comparison on XALEN.
Updated 2026-05-21 · By Abhishek Raj · Our methodology
| Feature | Qwen 2.5 72B Turbo | Pixtral 12B |
|---|---|---|
| Category | Open Source | Vision |
| Parameters | 72B | 12B |
| Context Window | 128K | 128K |
| Input Price | $0.04/1M tokens | $0.02/1M tokens |
| Output Price | $0.08/1M tokens | $0.04/1M tokens |
| Latency | ~300ms | ~200ms |
Choose Qwen 2.5 72B Turbo when:
- ✓ Pan-India apps
- ✓ Multilingual Q&A
- ✓ Content generation
Strong Asian languages, Good reasoning, Fast inference
Choose Pixtral 12B when:
- ✓ Simple image tasks
- ✓ Classification
- ✓ OCR
Low cost vision, Fast, Compact
Verdict: Qwen 2.5 72B Turbo vs Pixtral 12B
For cost efficiency, Pixtral 12B wins at $0.02/1M input tokens. For speed, Pixtral 12B is faster at ~200ms. Qwen 2.5 72B Turbo excels at Pan-India apps while Pixtral 12B is better for Simple image tasks. 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. Pixtral 12B costs $0.02 input and $0.04 output. Pixtral 12B is 2.0x 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. Pixtral 12B offers 128K context at ~200ms. 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. Pixtral 12B (Vision) works best for: Simple image tasks, Classification, OCR.
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 Pixtral 12B
response_b = client.chat.completions.create(
model="pixtral-12b",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, Qwen 2.5 72B Turbo or Pixtral 12B?
Qwen 2.5 72B Turbo (Open Source, 72B) offers Strong Asian languages. Pixtral 12B (Vision, 12B) offers Low cost vision. Choose Qwen 2.5 72B Turbo for Pan-India apps or Pixtral 12B for Simple image tasks.
How much does Qwen 2.5 72B Turbo cost vs Pixtral 12B?
Qwen 2.5 72B Turbo: $0.04/1M input, $0.08/1M output. Pixtral 12B: $0.02/1M input, $0.04/1M 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 Pixtral 12B 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.