Deepseek V4 Flash vs GLM 5.2
Compare Deepseek V4 Flash and GLM 5.2 on key metrics including price, context length, throughput, and other model features.
AuthorDeepseek
Context Length1.0M
Supports Tools
DeepSeek V4 Flash is an efficiency-focused Mixture-of-Experts model from DeepSeek with 284B total parameters and 13B active parameters, supporting a 1M-token context window. It is built for fast inference and high-throughput workloads while preserving strong reasoning and coding capabilities. The model features hybrid attention for efficient long-context processing and offers configurable reasoning modes. It is a strong fit for use cases such as coding assistants, chat applications, and agent workflows where responsiveness and cost efficiency matter.
Activity
Last 14 daysPrompt
3BCompletion
40MTotal
3BStartup
Startup
Latency (p50)0.44s
Throughput (p50)77.7 tok/s
Pricing
Input$0.07/M tokens
Output$0.14/M tokens
Cached input$0.0014/M tokens
Features
Input Modalitiestext
Output Modalitiestext
Supported EndpointsChat Completions
Vision
Supports Tools
AuthorZ.ai
Context Length1.0M
Supports Tools
GLM 5.2 is a large-scale reasoning model from Z.ai. It supports text input and output with a 1M-token context window, and is suited for long-horizon agent workflows, project-level software engineering, and complex multi-step automation.
Activity
Last 14 daysPrompt
154MCompletion
5MTotal
160MStartup
Startup
Latency (p50)4.15s
Throughput (p50)44.3 tok/s
Pricing
Input$0.70/M tokens
Output$2.20/M tokens
Cached input$0.13/M tokens
Features
Input Modalitiestext
Output Modalitiestext
Supported EndpointsChat Completions
Vision
Supports Tools