DeepSeek-V2.5 vs GLM-5 Comparison
Comparing DeepSeek-V2.5 and GLM-5 across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V2.5 outperforms in 0 benchmarks, while GLM-5 is better at 1 benchmark (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-V2.5 ($0.14/1M tokens) is 7.1x cheaper than GLM-5 ($1.00/1M tokens).
For output processing, DeepSeek-V2.5 ($0.28/1M tokens) is 11.4x cheaper than GLM-5 ($3.20/1M tokens).
In conclusion, GLM-5 is more expensive than DeepSeek-V2.5.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
GLM-5 has 508.0B more parameters than DeepSeek-V2.5, making it 215.3% larger.
Context Window
Maximum input and output token capacity
GLM-5 accepts 200,000 input tokens compared to DeepSeek-V2.5's 8,192 tokens. GLM-5 can generate longer responses up to 128,000 tokens, while DeepSeek-V2.5 is limited to 8,192 tokens.
License
Usage and distribution terms
DeepSeek-V2.5 is licensed under deepseek, while GLM-5 uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
deepseek
Open weights
MIT
Open weights
Release Timeline
When each model was launched
DeepSeek-V2.5 was released on 2024-05-08, while GLM-5 was released on 2026-02-11.
GLM-5 is 21 months newer than DeepSeek-V2.5.
May 8, 2024
1.9 years ago
Feb 11, 2026
1 months ago
1.8yr 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-V2.5 is available from DeepSeek, DeepInfra, Hyperbolic. GLM-5 is available from ZAI. The availability of providers can affect quality of the model and reliability.
DeepSeek-V2.5
GLM-5
Outputs Comparison
Key Takeaways
DeepSeek-V2.5
View detailsDeepSeek
GLM-5
View detailsZhipu AI
Detailed Comparison
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