BGE Large v1.5 vs GLM-4 Plus

Compare BGE Large v1.5 and GLM-4 Plus: 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 GLM-4 Plus
CategoryEmbeddingOpen Source
Parameters326M130B
Context Window512128K
Input Price$0.001/1M tokens$0.05/1M tokens
Output PriceN/A/1M tokens$0.09/1M tokens
Latency~15ms~350ms

Choose BGE Large v1.5 when:

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

Very low cost, Good multilingual, Fast

Choose GLM-4 Plus when:

  • ✓ Buddhist text analysis
  • ✓ Cross-cultural content
  • ✓ Bilingual apps
Key Strengths:

Strong bilingual, Good classical Chinese, Reliable

Verdict: BGE Large v1.5 vs GLM-4 Plus

For cost efficiency, BGE Large v1.5 wins at $0.001/1M input tokens. For speed, BGE Large v1.5 is faster at ~15ms. BGE Large v1.5 excels at Budget RAG while GLM-4 Plus is better for Buddhist text 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

BGE Large v1.5 costs $0.001/1M input tokens and N/A/1M output tokens. GLM-4 Plus costs $0.05 input and $0.09 output. BGE Large v1.5 is 50.0x 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. GLM-4 Plus offers 128K context at ~350ms. GLM-4 Plus has the larger context window.

Best For

BGE Large v1.5 (Embedding) is optimized for: Budget RAG, Knowledge bases, Document clustering. GLM-4 Plus (Open Source) works best for: Buddhist text analysis, Cross-cultural content, Bilingual apps.

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 GLM-4 Plus
response_b = client.chat.completions.create(
    model="glm-4-plus",
    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, BGE Large v1.5 or GLM-4 Plus?

BGE Large v1.5 (Embedding, 326M) offers Very low cost. GLM-4 Plus (Open Source, 130B) offers Strong bilingual. Choose BGE Large v1.5 for Budget RAG or GLM-4 Plus for Buddhist text analysis.

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

BGE Large v1.5: $0.001/1M input, N/A/1M output. GLM-4 Plus: $0.05/1M input, $0.09/1M 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 GLM-4 Plus 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.