E5 Large v2 vs GLM-4 Plus
Compare E5 Large v2 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
| Feature | E5 Large v2 | GLM-4 Plus |
|---|---|---|
| Category | Embedding | Open Source |
| Parameters | 335M | 130B |
| Context Window | 512 | 128K |
| Input Price | $0.002/1M tokens | $0.05/1M tokens |
| Output Price | N/A/1M tokens | $0.09/1M tokens |
| Latency | ~20ms | ~350ms |
Choose E5 Large v2 when:
- ✓ Classical text search
- ✓ RAG pipelines
- ✓ Knowledge retrieval
1024 dimensions, Fast, Multi-lingual
Choose GLM-4 Plus when:
- ✓ Buddhist text analysis
- ✓ Cross-cultural content
- ✓ Bilingual apps
Strong bilingual, Good classical Chinese, Reliable
Verdict: E5 Large v2 vs GLM-4 Plus
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 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
E5 Large v2 costs $0.002/1M input tokens and N/A/1M output tokens. GLM-4 Plus costs $0.05 input and $0.09 output. E5 Large v2 is 25.0x 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. GLM-4 Plus offers 128K context at ~350ms. GLM-4 Plus has the larger context window.
Best For
E5 Large v2 (Embedding) is optimized for: Classical text search, RAG pipelines, Knowledge retrieval. 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 E5 Large v2
response_a = client.chat.completions.create(
model="e5-large-v2",
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"}]
)
Frequently Asked Questions
Which is better, E5 Large v2 or GLM-4 Plus?
E5 Large v2 (Embedding, 335M) offers 1024 dimensions. GLM-4 Plus (Open Source, 130B) offers Strong bilingual. Choose E5 Large v2 for Classical text search or GLM-4 Plus for Buddhist text analysis.
How much does E5 Large v2 cost vs GLM-4 Plus?
E5 Large v2: $0.002/1M 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 E5 Large v2 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.