Llama 3.1 70B Turbo vs Arctic Large

Compare Llama 3.1 70B Turbo and Arctic 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

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Feature Llama 3.1 70B Turbo Arctic Large
CategoryOpen SourceEnterprise
Parameters70B480B (17B active)
Context Window128K128K
Input Price$0.04/1M tokens$0.06/1M tokens
Output Price$0.06/1M tokens$0.10/1M tokens
Latency~250ms~400ms

Choose Llama 3.1 70B Turbo when:

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

Fast inference, Good quality, Well-tested

Choose Arctic Large when:

  • ✓ Data analysis
  • ✓ SQL generation
  • ✓ Business intelligence
Key Strengths:

Strong SQL, Data analysis, Enterprise features

Verdict: Llama 3.1 70B Turbo vs Arctic Large

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 70B Turbo excels at Production APIs while Arctic Large is better for Data 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 70B Turbo costs $0.04/1M input tokens and $0.06/1M output tokens. Arctic Large costs $0.06 input and $0.10 output. Llama 3.1 70B Turbo is 1.5x 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. Arctic Large offers 128K context at ~400ms. Both have identical context windows.

Best For

Llama 3.1 70B Turbo (Open Source) is optimized for: Production APIs, Fast generation, General purpose. Arctic Large (Enterprise) works best for: Data analysis, SQL generation, Business intelligence.

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 Arctic Large
response_b = client.chat.completions.create(
    model="arctic-large",
    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 Arctic Large?

Llama 3.1 70B Turbo (Open Source, 70B) offers Fast inference. Arctic Large (Enterprise, 480B (17B active)) offers Strong SQL. Choose Llama 3.1 70B Turbo for Production APIs or Arctic Large for Data analysis.

How much does Llama 3.1 70B Turbo cost vs Arctic Large?

Llama 3.1 70B Turbo: $0.04/1M input, $0.06/1M output. Arctic Large: $0.06/1M input, $0.10/1M 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 Arctic 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.