Llama 3.1 405B vs Llama 3.1 70B Turbo

Compare Llama 3.1 405B and Llama 3.1 70B Turbo: pricing, performance, context window, latency, and best use cases. Side-by-side comparison on XALEN.

Updated 2026-05-21 · By Abhishek Raj · Our methodology

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Feature Llama 3.1 405B Llama 3.1 70B Turbo
CategoryOpen SourceOpen Source
Parameters405B70B
Context Window128K128K
Input Price$0.08/1M tokens$0.04/1M tokens
Output Price$0.14/1M tokens$0.06/1M tokens
Latency~600ms~250ms

Choose Llama 3.1 405B when:

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

Largest open model, Highest open-source quality

Choose Llama 3.1 70B Turbo when:

  • ✓ Production APIs
  • ✓ Fast generation
  • ✓ General purpose
Key Strengths:

Fast inference, Good quality, Well-tested

Verdict: Llama 3.1 405B vs Llama 3.1 70B Turbo

For cost efficiency, Llama 3.1 70B Turbo wins at $0.04/1M input tokens. For speed, Llama 3.1 70B Turbo is faster at ~250ms. Llama 3.1 405B excels at Premium tasks while Llama 3.1 70B Turbo is better for Production APIs. 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. Llama 3.1 70B Turbo costs $0.04 input and $0.06 output. Llama 3.1 70B Turbo is 2.0x 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. Llama 3.1 70B Turbo offers 128K context at ~250ms. Both have identical context windows.

Best For

Llama 3.1 405B (Open Source) is optimized for: Premium tasks, Research, Fine-tuning base. Llama 3.1 70B Turbo (Open Source) works best for: Production APIs, Fast generation, General purpose.

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 Llama 3.1 70B Turbo
response_b = client.chat.completions.create(
    model="llama-3-1-70b-turbo",
    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 Llama 3.1 70B Turbo?

Llama 3.1 405B (Open Source, 405B) offers Largest open model. Llama 3.1 70B Turbo (Open Source, 70B) offers Fast inference. Choose Llama 3.1 405B for Premium tasks or Llama 3.1 70B Turbo for Production APIs.

How much does Llama 3.1 405B cost vs Llama 3.1 70B Turbo?

Llama 3.1 405B: $0.08/1M input, $0.14/1M output. Llama 3.1 70B Turbo: $0.04/1M input, $0.06/1M 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 Llama 3.1 70B Turbo 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.