E5 Large v2 vs Arctic Large

Compare E5 Large v2 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 E5 Large v2 Arctic Large
CategoryEmbeddingEnterprise
Parameters335M480B (17B active)
Context Window512128K
Input Price$0.002/1M tokens$0.06/1M tokens
Output PriceN/A/1M tokens$0.10/1M tokens
Latency~20ms~400ms

Choose E5 Large v2 when:

  • ✓ Classical text search
  • ✓ RAG pipelines
  • ✓ Knowledge retrieval
Key Strengths:

1024 dimensions, Fast, Multi-lingual

Choose Arctic Large when:

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

Strong SQL, Data analysis, Enterprise features

Verdict: E5 Large v2 vs Arctic Large

For cost efficiency, E5 Large v2 wins at $0.002/1M input tokens. For speed, E5 Large v2 is faster at ~20ms. E5 Large v2 excels at Classical text search 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

E5 Large v2 costs $0.002/1M input tokens and N/A/1M output tokens. Arctic Large costs $0.06 input and $0.10 output. E5 Large v2 is 30.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

E5 Large v2 has a 512 context window with ~20ms latency. Arctic Large offers 128K context at ~400ms. Arctic Large has the larger context window.

Best For

E5 Large v2 (Embedding) is optimized for: Classical text search, RAG pipelines, Knowledge retrieval. 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 E5 Large v2
response_a = client.chat.completions.create(
    model="e5-large-v2",
    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, E5 Large v2 or Arctic Large?

E5 Large v2 (Embedding, 335M) offers 1024 dimensions. Arctic Large (Enterprise, 480B (17B active)) offers Strong SQL. Choose E5 Large v2 for Classical text search or Arctic Large for Data analysis.

How much does E5 Large v2 cost vs Arctic Large?

E5 Large v2: $0.002/1M input, N/A/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 E5 Large v2 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.