Codestral vs Arctic Large

Compare Codestral 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 Codestral Arctic Large
CategoryCodeEnterprise
Parameters22B480B (17B active)
Context Window256K128K
Input Price$0.03/1M tokens$0.06/1M tokens
Output Price$0.05/1M tokens$0.10/1M tokens
Latency~200ms~400ms

Choose Codestral when:

  • ✓ API integration code
  • ✓ SDK generation
  • ✓ Code review
Key Strengths:

256K context for code, Strong code generation, Good APIs

Choose Arctic Large when:

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

Strong SQL, Data analysis, Enterprise features

Verdict: Codestral vs Arctic Large

For cost efficiency, Codestral wins at $0.03/1M input tokens. For speed, Codestral is faster at ~200ms. Codestral excels at API integration code 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

Codestral costs $0.03/1M input tokens and $0.05/1M output tokens. Arctic Large costs $0.06 input and $0.10 output. Codestral is 2.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Codestral has a 256K context window with ~200ms latency. Arctic Large offers 128K context at ~400ms. Codestral has the larger context window.

Best For

Codestral (Code) is optimized for: API integration code, SDK generation, Code review. 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 Codestral
response_a = client.chat.completions.create(
    model="codestral",
    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, Codestral or Arctic Large?

Codestral (Code, 22B) offers 256K context for code. Arctic Large (Enterprise, 480B (17B active)) offers Strong SQL. Choose Codestral for API integration code or Arctic Large for Data analysis.

How much does Codestral cost vs Arctic Large?

Codestral: $0.03/1M input, $0.05/1M 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 Codestral 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.