Llama 3.1 8B Turbo vs Yi Large
Compare Llama 3.1 8B Turbo 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 | Llama 3.1 8B Turbo | Yi Large |
|---|---|---|
| Category | Compact | Open Source |
| Parameters | 8B | 300B |
| Context Window | 128K | 200K |
| Input Price | $0.01/1M tokens | $0.06/1M tokens |
| Output Price | $0.02/1M tokens | $0.12/1M tokens |
| Latency | ~60ms | ~450ms |
Choose Llama 3.1 8B Turbo when:
- ✓ Intent classification
- ✓ Content filtering
- ✓ Simple Q&A
Extremely fast, Very low cost, 128K context
Choose Yi Large when:
- ✓ Long document analysis
- ✓ Research
- ✓ Complex tasks
200K context, Strong analysis, Good reasoning
Verdict: Llama 3.1 8B Turbo vs Yi Large
For cost efficiency, Llama 3.1 8B Turbo wins at $0.01/1M input tokens. For speed, Yi Large is faster at ~450ms. Llama 3.1 8B Turbo excels at Intent classification 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
Llama 3.1 8B Turbo costs $0.01/1M input tokens and $0.02/1M output tokens. Yi Large costs $0.06 input and $0.12 output. Llama 3.1 8B Turbo is 6.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
Llama 3.1 8B Turbo has a 128K context window with ~60ms latency. Yi Large offers 200K context at ~450ms. Yi Large has the larger context window.
Best For
Llama 3.1 8B Turbo (Compact) is optimized for: Intent classification, Content filtering, Simple Q&A. 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 Llama 3.1 8B Turbo
response_a = client.chat.completions.create(
model="llama-3-1-8b-turbo",
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, Llama 3.1 8B Turbo or Yi Large?
Llama 3.1 8B Turbo (Compact, 8B) offers Extremely fast. Yi Large (Open Source, 300B) offers 200K context. Choose Llama 3.1 8B Turbo for Intent classification or Yi Large for Long document analysis.
How much does Llama 3.1 8B Turbo cost vs Yi Large?
Llama 3.1 8B Turbo: $0.01/1M input, $0.02/1M 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 Llama 3.1 8B Turbo 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.