Qwen3 Embedding 8B vs GLM 5.2
Compare Qwen3 Embedding 8B and GLM 5.2 on key metrics including price, context length, throughput, and other model features.
AuthorQwen
Context Length-
Supports Tools
The Qwen3 Embedding model series is the newest proprietary addition to the Qwen family, purpose-built for text embedding and ranking applications. Leveraging the strong multilingual abilities, long-context comprehension, and reasoning prowess of its base model, Qwen3 Embedding delivers impressive progress across various embedding and ranking tasks. These include text retrieval, code search, text classification, clustering, and bitext mining.
Activity
Last 14 daysPrompt
316MCompletion
0Total
316MStartup
Startup
Latency (p50)-
Throughput (p50)-
Pricing
Input-
Output-
Cached input-
Embeddings$0.005/M tokens
Features
Input Modalitiestext
Output Modalitiesembeddings
Supported EndpointsEmbeddings
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
518MCompletion
14MTotal
533MStartup
Startup
Latency (p50)2.96s
Throughput (p50)61.6 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