Baichuan 4 vs Arctic Large

Compare Baichuan 4 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 Baichuan 4 Arctic Large
CategoryOpen SourceEnterprise
Parameters~130B480B (17B active)
Context Window128K128K
Input Price$0.05/1M tokens$0.06/1M tokens
Output Price$0.09/1M tokens$0.10/1M tokens
Latency~350ms~400ms

Choose Baichuan 4 when:

  • ✓ Chinese content
  • ✓ Cultural analysis
  • ✓ Bilingual apps
Key Strengths:

Strong Chinese, Cultural knowledge, Good reasoning

Choose Arctic Large when:

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

Strong SQL, Data analysis, Enterprise features

Verdict: Baichuan 4 vs Arctic Large

For cost efficiency, Baichuan 4 wins at $0.05/1M input tokens. For speed, Baichuan 4 is faster at ~350ms. Baichuan 4 excels at Chinese content 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

Baichuan 4 costs $0.05/1M input tokens and $0.09/1M output tokens. Arctic Large costs $0.06 input and $0.10 output. Baichuan 4 is 1.2x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Baichuan 4 has a 128K context window with ~350ms latency. Arctic Large offers 128K context at ~400ms. Both have identical context windows.

Best For

Baichuan 4 (Open Source) is optimized for: Chinese content, Cultural analysis, Bilingual apps. 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 Baichuan 4
response_a = client.chat.completions.create(
    model="baichuan-4",
    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"}]
)

Start Building with XALEN

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Get API Key Try in Playground

Frequently Asked Questions

Which is better, Baichuan 4 or Arctic Large?

Baichuan 4 (Open Source, ~130B) offers Strong Chinese. Arctic Large (Enterprise, 480B (17B active)) offers Strong SQL. Choose Baichuan 4 for Chinese content or Arctic Large for Data analysis.

How much does Baichuan 4 cost vs Arctic Large?

Baichuan 4: $0.05/1M input, $0.09/1M 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 Baichuan 4 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.