Yi Large vs Claude 3.5 Sonnet (Thinking)
Compare Yi Large and Claude 3.5 Sonnet (Thinking): 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 | Claude 3.5 Sonnet (Thinking) |
|---|---|---|
| Category | Open Source | Reasoning |
| Parameters | 300B | ~500B |
| Context Window | 200K | 200K |
| Input Price | $0.06/1M tokens | $0.03/1M tokens |
| Output Price | $0.12/1M tokens | $0.15/1M tokens |
| Latency | ~450ms | ~600ms |
Choose Yi Large when:
- ✓ Long document analysis
- ✓ Research
- ✓ Complex tasks
200K context, Strong analysis, Good reasoning
Choose Claude 3.5 Sonnet (Thinking) when:
- ✓ Complex analysis
- ✓ Multi-step logic
- ✓ Verification tasks
Transparent thinking, Strong reasoning, Self-correction
Verdict: Yi Large vs Claude 3.5 Sonnet (Thinking)
For cost efficiency, Claude 3.5 Sonnet (Thinking) wins at $0.03/1M input tokens. For speed, Yi Large is faster at ~450ms. Yi Large excels at Long document analysis while Claude 3.5 Sonnet (Thinking) is better for Complex 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
Yi Large costs $0.06/1M input tokens and $0.12/1M output tokens. Claude 3.5 Sonnet (Thinking) costs $0.03 input and $0.15 output. Claude 3.5 Sonnet (Thinking) is 2.0x 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. Claude 3.5 Sonnet (Thinking) offers 200K context at ~600ms. Both have identical context windows.
Best For
Yi Large (Open Source) is optimized for: Long document analysis, Research, Complex tasks. Claude 3.5 Sonnet (Thinking) (Reasoning) works best for: Complex analysis, Multi-step logic, Verification 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 Yi Large
response_a = client.chat.completions.create(
model="yi-large",
messages=[{"role": "user", "content": "Your question here"}]
)
# Use Claude 3.5 Sonnet (Thinking)
response_b = client.chat.completions.create(
model="claude-3-5-sonnet-thinking",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, Yi Large or Claude 3.5 Sonnet (Thinking)?
Yi Large (Open Source, 300B) offers 200K context. Claude 3.5 Sonnet (Thinking) (Reasoning, ~500B) offers Transparent thinking. Choose Yi Large for Long document analysis or Claude 3.5 Sonnet (Thinking) for Complex analysis.
How much does Yi Large cost vs Claude 3.5 Sonnet (Thinking)?
Yi Large: $0.06/1M input, $0.12/1M output. Claude 3.5 Sonnet (Thinking): $0.03/1M input, $0.15/1M 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 Claude 3.5 Sonnet (Thinking) 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.