Qwen3.8 27B vs Qwen3 Embedding 8B
Compare Qwen3.8 27B and Qwen3 Embedding 8B on key metrics including price, context length, throughput, and other model features.
AuthorQwen
Context Length1M
Supports Tools
Qwen3.8 27B is an open-weight dense vision-language model from Qwen. It is suited for coding, professional workflows, research, multimodal interaction, and long-running agent tasks, with flexible thinking that can be...
Activity
Last 14 daysPrompt
78MCompletion
3MTotal
81MStartup
Startup
Latency (p50)1.04s
Throughput (p50)155.8 tok/s
Pricing
Input$0.21/M tokens
Output$1.28/M tokens
Cached input$0.04/M tokens
Embeddings-
Features
Input Modalitiestext, image
Output Modalitiestext
Supported EndpointsChat Completions
Vision
Supports Tools
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
105MCompletion
0Total
105MStartup
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