Arctic Large vs Gemma 3 1B

Compare Arctic Large and Gemma 3 1B: 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 Arctic Large Gemma 3 1B
CategoryEnterpriseCompact
Parameters480B (17B active)1B
Context Window128K32K
Input Price$0.06/1M tokens$0.003/1M tokens
Output Price$0.10/1M tokens$0.006/1M tokens
Latency~400ms~20ms

Choose Arctic Large when:

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

Strong SQL, Data analysis, Enterprise features

Choose Gemma 3 1B when:

  • ✓ Edge inference
  • ✓ Classification
  • ✓ Routing
Key Strengths:

Tiny footprint, Fastest inference, Edge-ready

Verdict: Arctic Large vs Gemma 3 1B

For cost efficiency, Gemma 3 1B wins at $0.003/1M input tokens. For speed, Gemma 3 1B is faster at ~20ms. Arctic Large excels at Data analysis while Gemma 3 1B is better for Edge inference. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.

Detailed Analysis

Pricing Comparison

Arctic Large costs $0.06/1M input tokens and $0.10/1M output tokens. Gemma 3 1B costs $0.003 input and $0.006 output. Gemma 3 1B is 20.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Arctic Large has a 128K context window with ~400ms latency. Gemma 3 1B offers 32K context at ~20ms. Arctic Large has the larger context window.

Best For

Arctic Large (Enterprise) is optimized for: Data analysis, SQL generation, Business intelligence. Gemma 3 1B (Compact) works best for: Edge inference, Classification, Routing.

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 Arctic Large
response_a = client.chat.completions.create(
    model="arctic-large",
    messages=[{"role": "user", "content": "Your question here"}]
)

# Use Gemma 3 1B
response_b = client.chat.completions.create(
    model="gemma-3-1b",
    messages=[{"role": "user", "content": "Your question here"}]
)

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Frequently Asked Questions

Which is better, Arctic Large or Gemma 3 1B?

Arctic Large (Enterprise, 480B (17B active)) offers Strong SQL. Gemma 3 1B (Compact, 1B) offers Tiny footprint. Choose Arctic Large for Data analysis or Gemma 3 1B for Edge inference.

How much does Arctic Large cost vs Gemma 3 1B?

Arctic Large: $0.06/1M input, $0.10/1M output. Gemma 3 1B: $0.003/1M input, $0.006/1M 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 Arctic Large and Gemma 3 1B 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.