GPT-4o Mini vs Arctic Large

Compare GPT-4o Mini 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 Mini Arctic Large
CategoryCompactEnterprise
Parameters~70B480B (17B active)
Context Window128K128K
Input Price$0.015/1M tokens$0.06/1M tokens
Output Price$0.06/1M tokens$0.10/1M tokens
Latency~200ms~400ms

Choose GPT-4o Mini when:

  • ✓ High-volume multimodal
  • ✓ Content filtering
  • ✓ Budget apps
Key Strengths:

Low cost multimodal, Vision capable, Fast

Choose Arctic Large when:

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

Strong SQL, Data analysis, Enterprise features

Verdict: GPT-4o Mini vs Arctic Large

For cost efficiency, GPT-4o Mini wins at $0.015/1M input tokens. For speed, GPT-4o Mini is faster at ~200ms. GPT-4o Mini excels at High-volume multimodal 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 Mini costs $0.015/1M input tokens and $0.06/1M output tokens. Arctic Large costs $0.06 input and $0.10 output. GPT-4o Mini is 4.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

GPT-4o Mini has a 128K context window with ~200ms latency. Arctic Large offers 128K context at ~400ms. Both have identical context windows.

Best For

GPT-4o Mini (Compact) is optimized for: High-volume multimodal, Content filtering, Budget 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 GPT-4o Mini
response_a = client.chat.completions.create(
    model="gpt-4o-mini",
    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 Mini or Arctic Large?

GPT-4o Mini (Compact, ~70B) offers Low cost multimodal. Arctic Large (Enterprise, 480B (17B active)) offers Strong SQL. Choose GPT-4o Mini for High-volume multimodal or Arctic Large for Data analysis.

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

GPT-4o Mini: $0.015/1M input, $0.06/1M 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 Mini 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.