DeepSeek V3 vs GLM-4 Plus
Compare DeepSeek V3 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 | DeepSeek V3 | GLM-4 Plus |
|---|---|---|
| Category | Open Source | Open Source |
| Parameters | 671B (37B active) | 130B |
| Context Window | 128K | 128K |
| Input Price | $0.05/1M tokens | $0.05/1M tokens |
| Output Price | $0.09/1M tokens | $0.09/1M tokens |
| Latency | ~400ms | ~350ms |
Choose DeepSeek V3 when:
- ✓ API response generation
- ✓ High-volume processing
- ✓ Code
MoE efficiency, Strong coding, Good structured output
Choose GLM-4 Plus when:
- ✓ Buddhist text analysis
- ✓ Cross-cultural content
- ✓ Bilingual apps
Strong bilingual, Good classical Chinese, Reliable
Verdict: DeepSeek V3 vs GLM-4 Plus
For cost efficiency, GLM-4 Plus wins at $0.05/1M input tokens. For speed, GLM-4 Plus is faster at ~350ms. DeepSeek V3 excels at API response generation 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
DeepSeek V3 costs $0.05/1M input tokens and $0.09/1M output tokens. GLM-4 Plus costs $0.05 input and $0.09 output. Both models are similarly priced. XALEN offers batch processing at 50% discount on both models.
Performance & Context
DeepSeek V3 has a 128K context window with ~400ms latency. GLM-4 Plus offers 128K context at ~350ms. Both have identical context windows.
Best For
DeepSeek V3 (Open Source) is optimized for: API response generation, High-volume processing, Code. 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 DeepSeek V3
response_a = client.chat.completions.create(
model="deepseek-v3",
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, DeepSeek V3 or GLM-4 Plus?
DeepSeek V3 (Open Source, 671B (37B active)) offers MoE efficiency. GLM-4 Plus (Open Source, 130B) offers Strong bilingual. Choose DeepSeek V3 for API response generation or GLM-4 Plus for Buddhist text analysis.
How much does DeepSeek V3 cost vs GLM-4 Plus?
DeepSeek V3: $0.05/1M input, $0.09/1M 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 DeepSeek V3 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.