Llama 3.1 70B Turbo vs Aya Expanse 32B

Compare Llama 3.1 70B Turbo and Aya Expanse 32B: 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 70B Turbo Aya Expanse 32B
CategoryOpen SourceOpen Source
Parameters70B32B
Context Window128K128K
Input Price$0.04/1M tokens$0.03/1M tokens
Output Price$0.06/1M tokens$0.06/1M tokens
Latency~250ms~250ms

Choose Llama 3.1 70B Turbo when:

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

Fast inference, Good quality, Well-tested

Choose Aya Expanse 32B when:

  • ✓ Multilingual apps
  • ✓ Translation
  • ✓ Global content
Key Strengths:

23 languages, Open weights, Strong multilingual

Verdict: Llama 3.1 70B Turbo vs Aya Expanse 32B

For cost efficiency, Aya Expanse 32B wins at $0.03/1M input tokens. For speed, Aya Expanse 32B is faster at ~250ms. Llama 3.1 70B Turbo excels at Production APIs while Aya Expanse 32B is better for Multilingual 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. Aya Expanse 32B costs $0.03 input and $0.06 output. Aya Expanse 32B is 1.3x 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. Aya Expanse 32B offers 128K context at ~250ms. Both have identical context windows.

Best For

Llama 3.1 70B Turbo (Open Source) is optimized for: Production APIs, Fast generation, General purpose. Aya Expanse 32B (Open Source) works best for: Multilingual apps, Translation, Global content.

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 Aya Expanse 32B
response_b = client.chat.completions.create(
    model="c4ai-aya-expanse-32b",
    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 70B Turbo or Aya Expanse 32B?

Llama 3.1 70B Turbo (Open Source, 70B) offers Fast inference. Aya Expanse 32B (Open Source, 32B) offers 23 languages. Choose Llama 3.1 70B Turbo for Production APIs or Aya Expanse 32B for Multilingual apps.

How much does Llama 3.1 70B Turbo cost vs Aya Expanse 32B?

Llama 3.1 70B Turbo: $0.04/1M input, $0.06/1M output. Aya Expanse 32B: $0.03/1M 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 70B Turbo and Aya Expanse 32B 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.