GPT OSS 120B vs GPT-6 Astra
Compare GPT OSS 120B and GPT-6 Astra on key metrics including price, context length, throughput, and other model features.
AuthorOpenAI
Context Length131.1k
Supports Tools
An open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI, designed for high-reasoning, agentic, and general-purpose production use cases. Activates 5.1B parameters per forward pass and is optimized for single H100 GPU deployment with native MXFP4 quantization. Supports configurable reasoning depth, full chain-of-thought access, and native tool use, including function calling, browsing, and structured output generation.
Activity
Last 14 daysPrompt
75MCompletion
39MTotal
114MStartup
Startup
Latency (p50)2.03s
Throughput (p50)244.9 tok/s
Pricing
Input$0.02/M tokens
Output$0.08/M tokens
Cached input$0.07/M tokens
Features
Input Modalitiestext, file
Output Modalitiestext
Supported EndpointsChat Completions
Vision
Supports Tools
AuthorOpenAI
Context Length1.1M
Supports Tools
GPT-6 Astra is OpenAI's flagship model for demanding end-to-end work. It is suited for advanced analysis, software engineering, deep research, scientific work, and document creation, with particular strengths in long-horizon agentic tasks that involve computer and browser use.
Activity
Last 14 daysPrompt
42MCompletion
197KTotal
42MStartup
Startup
Latency (p50)1.66s
Throughput (p50)44.4 tok/s
Pricing
Input$5.00/M tokens
Output$25.00/M tokens
Cached input$0.50/M tokens
Features
Input Modalitiestext, image, file
Output Modalitiestext
Supported EndpointsChat Completions
Vision
Supports Tools