Yi Large vs Gemini 2.5 Pro Preview
Compare Yi Large and Gemini 2.5 Pro Preview: 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 | Yi Large | Gemini 2.5 Pro Preview |
|---|---|---|
| Category | Open Source | Frontier |
| Parameters | 300B | ~1.5T |
| Context Window | 200K | 2M |
| Input Price | $0.06/1M tokens | $0.07/1M tokens |
| Output Price | $0.12/1M tokens | $0.21/1M tokens |
| Latency | ~450ms | ~700ms |
Choose Yi Large when:
- ✓ Long document analysis
- ✓ Research
- ✓ Complex tasks
200K context, Strong analysis, Good reasoning
Choose Gemini 2.5 Pro Preview when:
- ✓ Research
- ✓ Long analysis
- ✓ Testing new capabilities
2M context, Experimental features, Strong reasoning
Verdict: Yi Large vs Gemini 2.5 Pro Preview
For cost efficiency, Yi Large wins at $0.06/1M input tokens. For speed, Yi Large is faster at ~450ms. Yi Large excels at Long document analysis while Gemini 2.5 Pro Preview is better for Research. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.
Detailed Analysis
Pricing Comparison
Yi Large costs $0.06/1M input tokens and $0.12/1M output tokens. Gemini 2.5 Pro Preview costs $0.07 input and $0.21 output. Yi Large is 1.2x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
Yi Large has a 200K context window with ~450ms latency. Gemini 2.5 Pro Preview offers 2M context at ~700ms. Gemini 2.5 Pro Preview has the larger context window.
Best For
Yi Large (Open Source) is optimized for: Long document analysis, Research, Complex tasks. Gemini 2.5 Pro Preview (Frontier) works best for: Research, Long analysis, Testing new capabilities.
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 Yi Large
response_a = client.chat.completions.create(
model="yi-large",
messages=[{"role": "user", "content": "Your question here"}]
)
# Use Gemini 2.5 Pro Preview
response_b = client.chat.completions.create(
model="gemini-2-5-pro-preview",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, Yi Large or Gemini 2.5 Pro Preview?
Yi Large (Open Source, 300B) offers 200K context. Gemini 2.5 Pro Preview (Frontier, ~1.5T) offers 2M context. Choose Yi Large for Long document analysis or Gemini 2.5 Pro Preview for Research.
How much does Yi Large cost vs Gemini 2.5 Pro Preview?
Yi Large: $0.06/1M input, $0.12/1M output. Gemini 2.5 Pro Preview: $0.07/1M input, $0.21/1M 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 Yi Large and Gemini 2.5 Pro Preview 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.