DeepSeek-V3.1 vs GLM-5 Comparison
Comparing DeepSeek-V3.1 and GLM-5 across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V3.1 outperforms in 0 benchmarks, while GLM-5 is better at 2 benchmarks (BrowseComp, SWE-Bench Verified).
GLM-5 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V3.1 ($0.27/1M tokens) is 3.7x cheaper than GLM-5 ($1.00/1M tokens).
For output processing, DeepSeek-V3.1 ($1.00/1M tokens) is 3.2x cheaper than GLM-5 ($3.20/1M tokens).
In conclusion, GLM-5 is more expensive than DeepSeek-V3.1.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
GLM-5 has 73.0B more parameters than DeepSeek-V3.1, making it 10.9% larger.
Context Window
Maximum input and output token capacity
GLM-5 accepts 200,000 input tokens compared to DeepSeek-V3.1's 163,840 tokens. DeepSeek-V3.1 can generate longer responses up to 163,840 tokens, while GLM-5 is limited to 128,000 tokens.
License
Usage and distribution terms
Both models are licensed under MIT.
Both models share the same licensing terms, providing consistent usage rights.
MIT
Open weights
MIT
Open weights
Release Timeline
When each model was launched
DeepSeek-V3.1 was released on 2025-01-10, while GLM-5 was released on 2026-02-11.
GLM-5 is 13 months newer than DeepSeek-V3.1.
Jan 10, 2025
1.2 years ago
Feb 11, 2026
1 months ago
1.1yr newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
DeepSeek-V3.1 is available from DeepInfra, Novita. GLM-5 is available from ZAI. The availability of providers can affect quality of the model and reliability.
DeepSeek-V3.1
GLM-5
Outputs Comparison
Key Takeaways
DeepSeek-V3.1
View detailsDeepSeek
GLM-5
View detailsZhipu AI
Detailed Comparison
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