Llama 3.1 405B vs Yi Large

Compare Llama 3.1 405B 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

All Meta models All 01.AI models What is an LLM API? Python Quickstart What is inference?
Feature Llama 3.1 405B Yi Large
CategoryOpen SourceOpen Source
Parameters405B300B
Context Window128K200K
Input Price$0.08/1M tokens$0.06/1M tokens
Output Price$0.14/1M tokens$0.12/1M tokens
Latency~600ms~450ms

Choose Llama 3.1 405B when:

  • ✓ Premium tasks
  • ✓ Research
  • ✓ Fine-tuning base
Key Strengths:

Largest open model, Highest open-source quality

Choose Yi Large when:

  • ✓ Long document analysis
  • ✓ Research
  • ✓ Complex tasks
Key Strengths:

200K context, Strong analysis, Good reasoning

Verdict: Llama 3.1 405B vs Yi Large

For cost efficiency, Yi Large wins at $0.06/1M input tokens. For speed, Yi Large is faster at ~450ms. Llama 3.1 405B excels at Premium tasks 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 405B costs $0.08/1M input tokens and $0.14/1M output tokens. Yi Large costs $0.06 input and $0.12 output. Yi Large is 1.3x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Llama 3.1 405B has a 128K context window with ~600ms latency. Yi Large offers 200K context at ~450ms. Yi Large has the larger context window.

Best For

Llama 3.1 405B (Open Source) is optimized for: Premium tasks, Research, Fine-tuning base. 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 405B
response_a = client.chat.completions.create(
    model="llama-3-1-405b",
    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"}]
)

Start Building with XALEN

200+ AI models. One API. Pay-as-you-go.

Get API Key Try in Playground

Frequently Asked Questions

Which is better, Llama 3.1 405B or Yi Large?

Llama 3.1 405B (Open Source, 405B) offers Largest open model. Yi Large (Open Source, 300B) offers 200K context. Choose Llama 3.1 405B for Premium tasks or Yi Large for Long document analysis.

How much does Llama 3.1 405B cost vs Yi Large?

Llama 3.1 405B: $0.08/1M input, $0.14/1M 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 405B and Yi Large by changing the model parameter. No code changes needed.

Related Comparisons

Llama 3.1 405B vs Gemma 3 27B Llama 3.1 405B vs Llama 4 Scout Llama 3.1 405B vs Llama 4 Maverick Llama 3.1 405B vs Llama 3.3 70B Llama 3.1 405B vs Llama 3.1 70B Turbo Llama 3.1 405B vs DeepSeek V3

Last updated: 2026-05-21. Pricing and specifications may change. Check pricing page for latest rates.