GLM 5.2 vs GPT OSS 120B
Compare GLM 5.2 and GPT OSS 120B 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
4BCompletion
14MTotal
4BStartup
Startup
Latency (p50)3.51s
Throughput (p50)87.9 tok/s
Pricing
Input$0.02/M tokens
Output$0.30/M tokens
Cached input$0.02/M tokens
Features
Input Modalitiestext
Output Modalitiestext
Supported EndpointsChat Completions
Vision
Supports Tools
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
311MCompletion
80MTotal
391MStartup
Startup
Latency (p50)0.46s
Throughput (p50)312.1 tok/s
Pricing
Input$0.01/M tokens
Output$0.07/M tokens
Cached input$0.006/M tokens
Features
Input Modalitiestext, file
Output Modalitiestext
Supported EndpointsChat Completions
Vision
Supports Tools