GPT-4.1 Mini vs Arctic Large
Compare GPT-4.1 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
| Feature | GPT-4.1 Mini | Arctic Large |
|---|---|---|
| Category | Frontier | Enterprise |
| Parameters | ~200B | 480B (17B active) |
| Context Window | 1M | 128K |
| Input Price | $0.03/1M tokens | $0.06/1M tokens |
| Output Price | $0.08/1M tokens | $0.10/1M tokens |
| Latency | ~250ms | ~400ms |
Choose GPT-4.1 Mini when:
- ✓ High-volume horoscopes
- ✓ Batch analysis
- ✓ Content at scale
70% cheaper than GPT-4.1, 1M context, Strong reasoning
Choose Arctic Large when:
- ✓ Data analysis
- ✓ SQL generation
- ✓ Business intelligence
Strong SQL, Data analysis, Enterprise features
Verdict: GPT-4.1 Mini vs Arctic Large
For cost efficiency, GPT-4.1 Mini wins at $0.03/1M input tokens. For speed, GPT-4.1 Mini is faster at ~250ms. GPT-4.1 Mini excels at High-volume horoscopes 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-4.1 Mini costs $0.03/1M input tokens and $0.08/1M output tokens. Arctic Large costs $0.06 input and $0.10 output. GPT-4.1 Mini is 2.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
GPT-4.1 Mini has a 1M context window with ~250ms latency. Arctic Large offers 128K context at ~400ms. GPT-4.1 Mini has the larger context window.
Best For
GPT-4.1 Mini (Frontier) is optimized for: High-volume horoscopes, Batch analysis, Content at scale. 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-4.1 Mini
response_a = client.chat.completions.create(
model="gpt-4-1-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"}]
)Frequently Asked Questions
Which is better, GPT-4.1 Mini or Arctic Large?
GPT-4.1 Mini (Frontier, ~200B) offers 70% cheaper than GPT-4.1. Arctic Large (Enterprise, 480B (17B active)) offers Strong SQL. Choose GPT-4.1 Mini for High-volume horoscopes or Arctic Large for Data analysis.
How much does GPT-4.1 Mini cost vs Arctic Large?
GPT-4.1 Mini: $0.03/1M input, $0.08/1M 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-4.1 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.