Model Comparison
DeepSeek-V4-Pro-Max vs GLM-5V-TurboWhich is better in 2026?
Comparing DeepSeek-V4-Pro-Max and GLM-5V-Turbo across benchmarks, pricing, and capabilities.
Verdict: DeepSeek-V4-Pro-Max vs GLM-5V-Turbo — which is better?
DeepSeek-V4-Pro-Max (by DeepSeek) and GLM-5V-Turbo (by Zhipu AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
On price, GLM-5V-Turbo is roughly 1.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
DeepSeek-V4-Pro-Max also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Choose DeepSeek-V4-Pro-Max if…
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Apr 2026
- you need open weights you can self-host or fine-tune
Choose GLM-5V-Turbo if…
- cost matters — it's about 1.1x cheaper per token
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V4-Pro-Max and GLM-5V-Turbodon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V4-Pro-Max ($1.60/1M tokens) is 1.3x more expensive than GLM-5V-Turbo ($1.20/1M tokens).
For output processing, DeepSeek-V4-Pro-Max ($3.20/1M tokens) is 1.3x cheaper than GLM-5V-Turbo ($4.00/1M tokens).
In conclusion, DeepSeek-V4-Pro-Max is more expensive than GLM-5V-Turbo.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
DeepSeek-V4-Pro-Max accepts 1,048,576 input tokens compared to GLM-5V-Turbo's 200,000 tokens. DeepSeek-V4-Pro-Max can generate longer responses up to 131,072 tokens, while GLM-5V-Turbo is limited to 128,000 tokens.
Input Capabilities
Supported data types and modalities
GLM-5V-Turbo supports multimodal inputs, whereas DeepSeek-V4-Pro-Max does not.
GLM-5V-Turbo can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V4-Pro-Max
GLM-5V-Turbo
License
Usage and distribution terms
DeepSeek-V4-Pro-Max is licensed under MIT, while GLM-5V-Turbo uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
DeepSeek-V4-Pro-Max was released on 2026-04-23, while GLM-5V-Turbo was released on 2026-04-02.
DeepSeek-V4-Pro-Max is 1 month newer than GLM-5V-Turbo.
Apr 23, 2026
2 months ago
3w newerApr 2, 2026
3 months ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
DeepSeek-V4-Pro-Max is available from Novita, DeepInfra, DeepSeek, Fireworks, Together. GLM-5V-Turbo is available from ZAI.
DeepSeek-V4-Pro-Max
GLM-5V-Turbo
Outputs Comparison
Key Takeaways
DeepSeek-V4-Pro-Max
View detailsDeepSeek
GLM-5V-Turbo
View detailsZhipu AI
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against DeepSeek-V4-Pro-Max and GLM-5V-Turbo side-by-side, then vote on the output you prefer.
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FAQ
Common questions about DeepSeek-V4-Pro-Max vs GLM-5V-Turbo.