Llama 3.1 8B Turbo vs Arctic Large

Compare Llama 3.1 8B 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 8B Turbo Arctic Large
CategoryCompactEnterprise
Parameters8B480B (17B active)
Context Window128K128K
Input Price$0.01/1M tokens$0.06/1M tokens
Output Price$0.02/1M tokens$0.10/1M tokens
Latency~60ms~400ms

Choose Llama 3.1 8B Turbo when:

  • ✓ Intent classification
  • ✓ Content filtering
  • ✓ Simple Q&A
Key Strengths:

Extremely fast, Very low cost, 128K context

Choose Arctic Large when:

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

Strong SQL, Data analysis, Enterprise features

Verdict: Llama 3.1 8B Turbo vs Arctic Large

For cost efficiency, Llama 3.1 8B Turbo wins at $0.01/1M input tokens. For speed, Arctic Large is faster at ~400ms. Llama 3.1 8B Turbo excels at Intent classification 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 8B Turbo costs $0.01/1M input tokens and $0.02/1M output tokens. Arctic Large costs $0.06 input and $0.10 output. Llama 3.1 8B Turbo is 6.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Llama 3.1 8B Turbo has a 128K context window with ~60ms latency. Arctic Large offers 128K context at ~400ms. Both have identical context windows.

Best For

Llama 3.1 8B Turbo (Compact) is optimized for: Intent classification, Content filtering, Simple Q&A. 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 8B Turbo
response_a = client.chat.completions.create(
    model="llama-3-1-8b-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"}]
)

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Frequently Asked Questions

Which is better, Llama 3.1 8B Turbo or Arctic Large?

Llama 3.1 8B Turbo (Compact, 8B) offers Extremely fast. Arctic Large (Enterprise, 480B (17B active)) offers Strong SQL. Choose Llama 3.1 8B Turbo for Intent classification or Arctic Large for Data analysis.

How much does Llama 3.1 8B Turbo cost vs Arctic Large?

Llama 3.1 8B Turbo: $0.01/1M input, $0.02/1M 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 8B 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.