Claude Opus 4 vs Yi Large
Compare Claude Opus 4 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 | Claude Opus 4 | Yi Large |
|---|---|---|
| Category | Frontier | Open Source |
| Parameters | ~2T | 300B |
| Context Window | 200K | 200K |
| Input Price | $0.15/1M tokens | $0.06/1M tokens |
| Output Price | $0.75/1M tokens | $0.12/1M tokens |
| Latency | ~800ms | ~450ms |
Choose Claude Opus 4 when:
- ✓ Complex counseling
- ✓ Detailed chart analysis
- ✓ Enterprise reports
Deepest reasoning, Exceptional nuance, Best complex analysis
Choose Yi Large when:
- ✓ Long document analysis
- ✓ Research
- ✓ Complex tasks
200K context, Strong analysis, Good reasoning
Verdict: Claude Opus 4 vs Yi Large
For cost efficiency, Yi Large wins at $0.06/1M input tokens. For speed, Yi Large is faster at ~450ms. Claude Opus 4 excels at Complex counseling 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
Claude Opus 4 costs $0.15/1M input tokens and $0.75/1M output tokens. Yi Large costs $0.06 input and $0.12 output. Yi Large is 2.5x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
Claude Opus 4 has a 200K context window with ~800ms latency. Yi Large offers 200K context at ~450ms. Both have identical context windows.
Best For
Claude Opus 4 (Frontier) is optimized for: Complex counseling, Detailed chart analysis, Enterprise reports. 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 Claude Opus 4
response_a = client.chat.completions.create(
model="claude-opus-4",
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, Claude Opus 4 or Yi Large?
Claude Opus 4 (Frontier, ~2T) offers Deepest reasoning. Yi Large (Open Source, 300B) offers 200K context. Choose Claude Opus 4 for Complex counseling or Yi Large for Long document analysis.
How much does Claude Opus 4 cost vs Yi Large?
Claude Opus 4: $0.15/1M input, $0.75/1M 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 Claude Opus 4 and Yi Large by changing the model parameter. No code changes needed.
Related Comparisons
Last updated: 2026-05-21. Pricing and specifications may change. Check pricing page for latest rates.