Qwen3 Embedding 8B vs GPT 5.6 Luna
Compare Qwen3 Embedding 8B and GPT 5.6 Luna 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
818MCompletion
0Total
818MStartup
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
AuthorOpenAI
Context Length1.1M
Supports Tools
GPT-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series. It is suited for high-volume, latency-sensitive tasks such as chat, classification, and lightweight agentic workflows, providing capable reasoning for its price tier.
Activity
Last 14 daysPrompt
164MCompletion
784KTotal
165MStartup
Startup
Latency (p50)0.61s
Throughput (p50)70.9 tok/s
Pricing
Input$0.50/M tokens
Output$3.00/M tokens
Cached input$0.05/M tokens
Embeddings-
Features
Input Modalitiestext, image, file
Output Modalitiestext
Supported EndpointsChat Completions
Vision
Supports Tools