DeepSeek V3 vs Arctic Large

Compare DeepSeek V3 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

All DeepSeek models All Snowflake models What is an LLM API? Python Quickstart What is inference?
Feature DeepSeek V3 Arctic Large
CategoryOpen SourceEnterprise
Parameters671B (37B active)480B (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~400ms~400ms

Choose DeepSeek V3 when:

  • ✓ API response generation
  • ✓ High-volume processing
  • ✓ Code
Key Strengths:

MoE efficiency, Strong coding, Good structured output

Choose Arctic Large when:

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

Strong SQL, Data analysis, Enterprise features

Verdict: DeepSeek V3 vs Arctic Large

For cost efficiency, DeepSeek V3 wins at $0.05/1M input tokens. For speed, Arctic Large is faster at ~400ms. DeepSeek V3 excels at API response generation 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

DeepSeek V3 costs $0.05/1M input tokens and $0.09/1M output tokens. Arctic Large costs $0.06 input and $0.10 output. DeepSeek V3 is 1.2x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

DeepSeek V3 has a 128K context window with ~400ms latency. Arctic Large offers 128K context at ~400ms. Both have identical context windows.

Best For

DeepSeek V3 (Open Source) is optimized for: API response generation, High-volume processing, Code. 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 DeepSeek V3
response_a = client.chat.completions.create(
    model="deepseek-v3",
    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

200+ AI models. One API. Pay-as-you-go.

Get API Key Try in Playground

Frequently Asked Questions

Which is better, DeepSeek V3 or Arctic Large?

DeepSeek V3 (Open Source, 671B (37B active)) offers MoE efficiency. Arctic Large (Enterprise, 480B (17B active)) offers Strong SQL. Choose DeepSeek V3 for API response generation or Arctic Large for Data analysis.

How much does DeepSeek V3 cost vs Arctic Large?

DeepSeek V3: $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 DeepSeek V3 and Arctic Large by changing the model parameter. No code changes needed.

Related Comparisons

DeepSeek V3 vs Gemma 3 27B DeepSeek V3 vs Llama 4 Scout DeepSeek V3 vs Llama 4 Maverick DeepSeek V3 vs Llama 3.3 70B DeepSeek V3 vs Llama 3.1 405B DeepSeek V3 vs Llama 3.1 70B Turbo

Last updated: 2026-05-21. Pricing and specifications may change. Check pricing page for latest rates.