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...
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OpenAI: gpt-oss-20b holds the #273 spot for context size out of 392 chat models in the CoreAI catalog — 131K tokens, roughly 98,304 words or 197 pages of text in a single conversation. On price, it is the #8 cheapest of 128 budget-tier models by input cost. It joined the catalog on 2025-08-05. It supports step-by-step reasoning (thinking mode).
Every model in this table is available on CoreAI — open the web app and run the same prompt through OpenAI: gpt-oss-20b and OpenAI: gpt-oss-120b side by side to judge with your own eyes.
A typical question (about 1,000 tokens in, 500 out) runs $0.00010 on OpenAI: gpt-oss-20b's raw per-token rates; a heavy session with a 50K-token document costs about $0.002. On CoreAI you don't juggle these numbers — one subscription covers OpenAI: gpt-oss-20b and 300+ other models under a plan usage limit, with no API keys. See plans.
OpenAI: gpt-oss-20b handles 131K tokens of context — roughly 98,304 words, or about 197 pages of text in one conversation.
OpenAI: gpt-oss-20b's underlying rates are $0.03 per 1M input tokens and $0.13 per 1M output tokens. On CoreAI it is included in one subscription alongside 300+ models, so there is no per-token billing to manage.
No — OpenAI: gpt-oss-20b is text-only. If you need image understanding, its budget-tier peers with vision are listed in the comparison table above.
Yes. OpenAI: gpt-oss-20b can work through problems step by step before answering; on CoreAI you can toggle thinking mode per message.
Open the CoreAI web app or the iOS/Android app, pick OpenAI: gpt-oss-20b in the model selector, and chat — no API key, no per-token billing. One subscription covers OpenAI: gpt-oss-20b and 300+ other models.
The closest alternatives on CoreAI are OpenAI: gpt-oss-120b, Google: Gemma 4 26B A4B (free), inclusionAI: Ling-2.6-flash — similar tier and capability. The fastest way to choose is running one prompt through them side by side in CoreAI's Compare view.
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