gpt-oss-20b is a 21-billion parameter open-weight model released by OpenAI under the Apache 2.0 license. Its core feature is a Mixture-of-Experts (MoE) architecture that uses only 3.6B active parameters, enabling low-latency inference and deployment on consumer GPUs. The model also supports fine-tuning, function calling, tool use, and structured outputs.
gpt-oss-20b vs GPT Oss 20B (free)
Compare gpt-oss-20b from OpenAI and GPT Oss 20B (free) from OpenAI on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
Developed by OpenAI, gpt-oss-20b-free is an open-weight 21B parameter model released under the Apache 2.0 license. This model utilizes a Mixture-of-Experts (MoE) architecture with 3.6B active parameters per forward pass. It supports an expansive context window of up to 131,072 tokens, making it well-suited for long-context tasks.
Pricing & Specifications
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
Promotional prices show the discounted rate; see each model page for promotion windows.
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FAQ
How large is each context window?
gpt-oss-20b accepts 128,000 and GPT Oss 20B (free) accepts 131,072 input tokens.
What inputs and capabilities does each model support?
gpt-oss-20b accepts text input and supports thinking, function calling and structured outputs; GPT Oss 20B (free) accepts text input and supports reasoning, tool calling and long context.
Can I call gpt-oss-20b and GPT Oss 20B (free) with the same API key?
Yes. AIHubMix serves every model on this page behind one OpenAI-compatible endpoint, so switching between them is a one-line change to the model field — no second account, key or SDK.
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