Llama 3.2 1B vs Arctic Large

Compare Llama 3.2 1B 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 3.2 1B Arctic Large
CategoryCompactEnterprise
Parameters1B480B (17B active)
Context Window128K128K
Input Price$0.004/1M tokens$0.06/1M tokens
Output Price$0.008/1M tokens$0.10/1M tokens
Latency~25ms~400ms

Choose Llama 3.2 1B when:

  • ✓ Intent detection
  • ✓ Routing
  • ✓ Edge classification
Key Strengths:

Smallest footprint, Fastest inference, Classification

Choose Arctic Large when:

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

Strong SQL, Data analysis, Enterprise features

Verdict: Llama 3.2 1B vs Arctic Large

For cost efficiency, Llama 3.2 1B wins at $0.004/1M input tokens. For speed, Llama 3.2 1B is faster at ~25ms. Llama 3.2 1B excels at Intent detection 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 3.2 1B costs $0.004/1M input tokens and $0.008/1M output tokens. Arctic Large costs $0.06 input and $0.10 output. Llama 3.2 1B is 15.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Llama 3.2 1B has a 128K context window with ~25ms latency. Arctic Large offers 128K context at ~400ms. Both have identical context windows.

Best For

Llama 3.2 1B (Compact) is optimized for: Intent detection, Routing, Edge classification. 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 3.2 1B
response_a = client.chat.completions.create(
    model="llama-3-2-1b",
    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 3.2 1B or Arctic Large?

Llama 3.2 1B (Compact, 1B) offers Smallest footprint. Arctic Large (Enterprise, 480B (17B active)) offers Strong SQL. Choose Llama 3.2 1B for Intent detection or Arctic Large for Data analysis.

How much does Llama 3.2 1B cost vs Arctic Large?

Llama 3.2 1B: $0.004/1M input, $0.008/1M 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 3.2 1B 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.