GLM 5.2 vs Text Embedding 3 Small
Compare GLM 5.2 and Text Embedding 3 Small on key metrics including price, context length, throughput, and other model features.
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
489MCompletion
18MTotal
506MStartup
Startup
Latency (p50)0.86s
Throughput (p50)25.8 tok/s
Pricing
Input$0.70/M tokens
Output$2.20/M tokens
Cached input$0.13/M tokens
Embeddings-
Features
Input Modalitiestext
Output Modalitiestext
Supported EndpointsChat Completions
Vision
Supports Tools
AuthorOpenAI
Context Length-
Supports Tools
Text-Embedding-3-Small is OpenAI’s efficient, compact embedding model, designed to convert text into numerical representations for semantic tasks such as search, clustering, and recommendations. It offers improved performance and cost-effectiveness compared to previous models, with low latency and storage requirements.
Activity
Last 14 daysPrompt
61MCompletion
0Total
61MStartup
Startup
Latency (p50)-
Throughput (p50)-
Pricing
Input-
Output-
Cached input-
Embeddings$0.00667/M tokens
Features
Input Modalitiestext
Output Modalitiesembeddings
Supported EndpointsEmbeddings
Vision
Supports Tools