Comparing DeepSeek-V4-Pro and GLM-5.1 Context Windows | Generated by AI
Question: Is DeepSeek-V4-Pro’s context window (1M tokens) larger than GLM-5.1’s context window (~220K tokens)?
Answer:
Yes, DeepSeek-V4-Pro has a significantly larger context window than GLM-5.1, but your estimate for GLM-5.1 is slightly off — it’s ~200K, not ~220K.
DeepSeek-V4-Pro Context Window
DeepSeek-V4-Pro is a Mixture-of-Experts model with 1.6T total parameters (49B activated), supporting a context length of 1 million tokens.
Prior DeepSeek models (V3 and V3.1) were capped at 128K tokens — V4’s 1M token window is a major leap forward.
GLM-5.1 Context Window
GLM-5.1 supports a context window of 200K tokens, roughly equivalent to 400 pages of text. It can generate up to 128K tokens in a single response.
More precisely, the exact context window for GLM-5.1 is 202,752 tokens, so your approximation of ~220K was slightly high — it’s closer to ~200K.
Direct Comparison
| Model | Context Window | Parameters (Total / Active) |
|---|---|---|
| DeepSeek-V4-Pro | 1,000,000 tokens (1M) | 1.6T / 49B |
| GLM-5.1 | ~202,752 tokens (~200K) | 754B / 40B |
DeepSeek-V4-Pro’s context is roughly 5× larger than GLM-5.1’s.
Your Observation from the UI
The display you saw — 27K/1M — means your current conversation has used ~27K tokens out of the 1M available context for DeepSeek-V4-Pro. That’s only 3% utilized (as the progress bar shows), which aligns perfectly with the 1M token limit.
References:
- DeepSeek-V4-Pro on Hugging Face
- DeepSeek V4 Context Window Explained
- GLM-5.1 Specs – Puter Developer
- GLM-5.1 on OpenRouter