Llama 3.1 70B Turbo vs Amazon Nova Pro

Compare Llama 3.1 70B Turbo and Amazon Nova Pro: 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 Amazon models What is an LLM API? Python Quickstart What is inference?
Feature Llama 3.1 70B Turbo Amazon Nova Pro
CategoryOpen SourceFrontier
Parameters70B~300B
Context Window128K300K
Input Price$0.04/1M tokens$0.008/1M tokens
Output Price$0.06/1M tokens$0.032/1M tokens
Latency~250ms~300ms

Choose Llama 3.1 70B Turbo when:

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

Fast inference, Good quality, Well-tested

Choose Amazon Nova Pro when:

  • ✓ Budget apps
  • ✓ Document analysis
  • ✓ Enterprise
Key Strengths:

Very low cost, 300K context, Multimodal

Verdict: Llama 3.1 70B Turbo vs Amazon Nova Pro

For cost efficiency, Amazon Nova Pro wins at $0.008/1M input tokens. For speed, Llama 3.1 70B Turbo is faster at ~250ms. Llama 3.1 70B Turbo excels at Production APIs while Amazon Nova Pro is better for Budget apps. 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 70B Turbo costs $0.04/1M input tokens and $0.06/1M output tokens. Amazon Nova Pro costs $0.008 input and $0.032 output. Amazon Nova Pro is 5.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Llama 3.1 70B Turbo has a 128K context window with ~250ms latency. Amazon Nova Pro offers 300K context at ~300ms. Amazon Nova Pro has the larger context window.

Best For

Llama 3.1 70B Turbo (Open Source) is optimized for: Production APIs, Fast generation, General purpose. Amazon Nova Pro (Frontier) works best for: Budget apps, Document analysis, Enterprise.

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 70B Turbo
response_a = client.chat.completions.create(
    model="llama-3-1-70b-turbo",
    messages=[{"role": "user", "content": "Your question here"}]
)

# Use Amazon Nova Pro
response_b = client.chat.completions.create(
    model="amazon-nova-pro",
    messages=[{"role": "user", "content": "Your question here"}]
)

Start Building with XALEN

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Get API Key Try in Playground

Frequently Asked Questions

Which is better, Llama 3.1 70B Turbo or Amazon Nova Pro?

Llama 3.1 70B Turbo (Open Source, 70B) offers Fast inference. Amazon Nova Pro (Frontier, ~300B) offers Very low cost. Choose Llama 3.1 70B Turbo for Production APIs or Amazon Nova Pro for Budget apps.

How much does Llama 3.1 70B Turbo cost vs Amazon Nova Pro?

Llama 3.1 70B Turbo: $0.04/1M input, $0.06/1M output. Amazon Nova Pro: $0.008/1M input, $0.032/1M 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 70B Turbo and Amazon Nova Pro 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.