GPT OSS 20B vs GPT-4o Mini
Compare GPT OSS 20B and GPT-4o Mini on key metrics including price, context length, throughput, and other model features.
AuthorOpenAI
Context Length131.1k
Supports Tools
OpenAI’s 21B-parameter open-weight Mixture-of-Experts (MoE) model, released under the Apache 2.0 license. Features 3.6B active parameters per forward pass, optimized for low-latency inference and deployability on consumer or single-GPU hardware. Trained in OpenAI’s Harmony response format, it supports reasoning level configuration, fine-tuning, and agentic capabilities such as function calling and structured outputs.
Activity
Last 14 daysPrompt
276MCompletion
61MTotal
337MStartup
Startup
Latency (p50)0.28s
Throughput (p50)417.6 tok/s
Pricing
Input$0.02/M tokens
Output$0.10/M tokens
Features
Input Modalitiestext, file
Output Modalitiestext
Supported EndpointsChat Completions
Vision
Supports Tools
AuthorOpenAI
Context Length128k
Supports Tools
OpenAI’s most advanced small model, GPT-4o mini, supports both text and image inputs with text outputs. It is highly cost-effective, achieving SOTA intelligence and outperforming larger models on key benchmarks, making it ideal for scalable, interactive applications.
Activity
Last 14 daysPrompt
5BCompletion
22MTotal
5BStartup
Startup
Latency (p50)0.69s
Throughput (p50)43.7 tok/s
Pricing
Input$0.07/M tokens
Output$0.30/M tokens
Features
Input Modalitiestext, image, file
Output Modalitiestext
Supported EndpointsChat Completions
Vision
Supports Tools