Arctic Large vs StarCoder2 15B

Compare Arctic Large and StarCoder2 15B: 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 StarCoder2 15B
CategoryEnterpriseCode
Parameters480B (17B active)15B
Context Window128K16K
Input Price$0.06/1M tokens$0.02/1M tokens
Output Price$0.10/1M tokens$0.03/1M tokens
Latency~400ms~150ms

Choose Arctic Large when:

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

Strong SQL, Data analysis, Enterprise features

Choose StarCoder2 15B when:

  • ✓ Code completion
  • ✓ Code generation
  • ✓ Bug fixing
Key Strengths:

Strong coding, 600+ languages, Open weights

Verdict: Arctic Large vs StarCoder2 15B

For cost efficiency, StarCoder2 15B wins at $0.02/1M input tokens. For speed, StarCoder2 15B is faster at ~150ms. Arctic Large excels at Data analysis while StarCoder2 15B is better for Code completion. 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. StarCoder2 15B costs $0.02 input and $0.03 output. StarCoder2 15B is 3.0x 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. StarCoder2 15B offers 16K context at ~150ms. Arctic Large has the larger context window.

Best For

Arctic Large (Enterprise) is optimized for: Data analysis, SQL generation, Business intelligence. StarCoder2 15B (Code) works best for: Code completion, Code generation, Bug fixing.

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 StarCoder2 15B
response_b = client.chat.completions.create(
    model="starcoder2-15b",
    messages=[{"role": "user", "content": "Your question here"}]
)

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Frequently Asked Questions

Which is better, Arctic Large or StarCoder2 15B?

Arctic Large (Enterprise, 480B (17B active)) offers Strong SQL. StarCoder2 15B (Code, 15B) offers Strong coding. Choose Arctic Large for Data analysis or StarCoder2 15B for Code completion.

How much does Arctic Large cost vs StarCoder2 15B?

Arctic Large: $0.06/1M input, $0.10/1M output. StarCoder2 15B: $0.02/1M input, $0.03/1M 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 StarCoder2 15B 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.