GPT-4o vs Arctic Large

Compare GPT-4o 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 GPT-4o Arctic Large
CategoryFrontierEnterprise
Parameters~1T480B (17B active)
Context Window128K128K
Input Price$0.05/1M tokens$0.06/1M tokens
Output Price$0.15/1M tokens$0.10/1M tokens
Latency~400ms~400ms

Choose GPT-4o when:

  • ✓ Chart image analysis
  • ✓ Multimodal Q&A
  • ✓ Content generation
Key Strengths:

Multimodal, Fast for frontier, Strong reasoning

Choose Arctic Large when:

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

Strong SQL, Data analysis, Enterprise features

Verdict: GPT-4o vs Arctic Large

For cost efficiency, GPT-4o wins at $0.05/1M input tokens. For speed, Arctic Large is faster at ~400ms. GPT-4o excels at Chart image analysis 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

GPT-4o costs $0.05/1M input tokens and $0.15/1M output tokens. Arctic Large costs $0.06 input and $0.10 output. GPT-4o is 1.2x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

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

Best For

GPT-4o (Frontier) is optimized for: Chart image analysis, Multimodal Q&A, Content generation. 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 GPT-4o
response_a = client.chat.completions.create(
    model="gpt-4o",
    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, GPT-4o or Arctic Large?

GPT-4o (Frontier, ~1T) offers Multimodal. Arctic Large (Enterprise, 480B (17B active)) offers Strong SQL. Choose GPT-4o for Chart image analysis or Arctic Large for Data analysis.

How much does GPT-4o cost vs Arctic Large?

GPT-4o: $0.05/1M input, $0.15/1M 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 GPT-4o 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.