Pixtral Large vs Yi Large
Compare Pixtral Large and Yi Large: 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 | Pixtral Large | Yi Large |
|---|---|---|
| Category | Vision | Open Source |
| Parameters | 124B | 300B |
| Context Window | 128K | 200K |
| Input Price | $0.06/1M tokens | $0.06/1M tokens |
| Output Price | $0.10/1M tokens | $0.12/1M tokens |
| Latency | ~450ms | ~450ms |
Choose Pixtral Large when:
- ✓ Image analysis
- ✓ Document understanding
- ✓ Chart reading
Strong vision, Good reasoning, Multilingual
Choose Yi Large when:
- ✓ Long document analysis
- ✓ Research
- ✓ Complex tasks
200K context, Strong analysis, Good reasoning
Verdict: Pixtral Large vs Yi Large
For cost efficiency, Yi Large wins at $0.06/1M input tokens. For speed, Yi Large is faster at ~450ms. Pixtral Large excels at Image analysis while Yi Large is better for Long 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
Pixtral Large costs $0.06/1M input tokens and $0.10/1M output tokens. Yi Large costs $0.06 input and $0.12 output. Both models are similarly priced. XALEN offers batch processing at 50% discount on both models.
Performance & Context
Pixtral Large has a 128K context window with ~450ms latency. Yi Large offers 200K context at ~450ms. Yi Large has the larger context window.
Best For
Pixtral Large (Vision) is optimized for: Image analysis, Document understanding, Chart reading. Yi Large (Open Source) works best for: Long document analysis, Research, Complex tasks.
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 Pixtral Large
response_a = client.chat.completions.create(
model="pixtral-large",
messages=[{"role": "user", "content": "Your question here"}]
)
# Use Yi Large
response_b = client.chat.completions.create(
model="yi-large",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, Pixtral Large or Yi Large?
Pixtral Large (Vision, 124B) offers Strong vision. Yi Large (Open Source, 300B) offers 200K context. Choose Pixtral Large for Image analysis or Yi Large for Long document analysis.
How much does Pixtral Large cost vs Yi Large?
Pixtral Large: $0.06/1M input, $0.10/1M output. Yi Large: $0.06/1M input, $0.12/1M 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 Pixtral Large and Yi Large 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.