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gpt-oss-20b is an open-weight 21B parameter model released by OpenAI under the Apache 2.0 license. It uses a Mixture-of-Experts (MoE) architecture with 3.6B active parameters per forward pass, optimized for lower-latency inference and deployability on consumer or single-GPU hardware. The model is trained in OpenAI’s Harmony response format and supports reasoning level configuration, fine-tuning, and agentic capabilities including function calling, tool use, and structured outputs.
Price/1M
$0.00
1st cheapest
100% below median
Top 27%
Context Window
131K
145th largest
Top 63%
Input
$0.00
per 1M tokens
Output
$0.00
per 1M tokens
Blended
$0.00
per 1M tokens
Cheaper than 73% of models. Median price is $0.31/1M tokens.
Daily
$0.00
Monthly
$0.00
Context Window
131K
tokens
Larger than 37% of models
Max Output
131K
tokens
100% of context
Context Window Comparison