BGE Large v1.5 vs Phi-4

Compare BGE Large v1.5 and Phi-4: 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 BGE Large v1.5 Phi-4
CategoryEmbeddingCompact
Parameters326M14B
Context Window51216K
Input Price$0.001/1M tokens$0.01/1M tokens
Output PriceN/A/1M tokens$0.02/1M tokens
Latency~15ms~100ms

Choose BGE Large v1.5 when:

  • ✓ Budget RAG
  • ✓ Knowledge bases
  • ✓ Document clustering
Key Strengths:

Very low cost, Good multilingual, Fast

Choose Phi-4 when:

  • ✓ Edge deployments
  • ✓ Cost-sensitive apps
  • ✓ Classification
Key Strengths:

Very compact, Strong reasoning for size, Extremely low cost

Verdict: BGE Large v1.5 vs Phi-4

For cost efficiency, BGE Large v1.5 wins at $0.001/1M input tokens. For speed, Phi-4 is faster at ~100ms. BGE Large v1.5 excels at Budget RAG while Phi-4 is better for Edge deployments. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.

Detailed Analysis

Pricing Comparison

BGE Large v1.5 costs $0.001/1M input tokens and N/A/1M output tokens. Phi-4 costs $0.01 input and $0.02 output. BGE Large v1.5 is 10.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

BGE Large v1.5 has a 512 context window with ~15ms latency. Phi-4 offers 16K context at ~100ms. Phi-4 has the larger context window.

Best For

BGE Large v1.5 (Embedding) is optimized for: Budget RAG, Knowledge bases, Document clustering. Phi-4 (Compact) works best for: Edge deployments, Cost-sensitive apps, Classification.

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 BGE Large v1.5
response_a = client.chat.completions.create(
    model="bge-large-v1-5",
    messages=[{"role": "user", "content": "Your question here"}]
)

# Use Phi-4
response_b = client.chat.completions.create(
    model="phi-4",
    messages=[{"role": "user", "content": "Your question here"}]
)

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Get API Key Try in Playground

Frequently Asked Questions

Which is better, BGE Large v1.5 or Phi-4?

BGE Large v1.5 (Embedding, 326M) offers Very low cost. Phi-4 (Compact, 14B) offers Very compact. Choose BGE Large v1.5 for Budget RAG or Phi-4 for Edge deployments.

How much does BGE Large v1.5 cost vs Phi-4?

BGE Large v1.5: $0.001/1M input, N/A/1M output. Phi-4: $0.01/1M input, $0.02/1M 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 BGE Large v1.5 and Phi-4 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.