--- title: "gpt-oss-120b | Aguasto" description: "Research reference for gpt-oss-120b: official checkpoint, license and memory considerations. Documented in Aguasto Research; no Aguasto deployment or API availability is represented." canonical: "https://www.aguasto.com/models/gpt-oss-120b" last-updated: "2026-10-12" --- # gpt-oss-120b | Aguasto Canonical HTML: [gpt-oss-120b](https://www.aguasto.com/models/gpt-oss-120b) > Research reference for gpt-oss-120b: official checkpoint, license and memory considerations. Documented in Aguasto Research; no Aguasto deployment or API availability is represented. [Aguasto](https://www.aguasto.com/) [Model Index](https://www.aguasto.com/models) gpt-oss-120b [Resources](https://www.aguasto.com/resources) [GPU Library](https://www.aguasto.com/gpus) [Model Index](https://www.aguasto.com/models) [Inference Stack](https://www.aguasto.com/inference-stack) [Learn](https://www.aguasto.com/learn) [Insights](https://www.aguasto.com/insights) [Research](https://www.aguasto.com/research) [Engineering tools](https://www.aguasto.com/tools) OpenAI / Open-weight checkpoint reference ## gpt-oss-120b Documented in Aguasto Research. This checkpoint has not been evaluated or deployed by Aguasto and is not available through an Aguasto API. Original Aguasto conceptual illustration. Not manufacturer geometry, an operating Aguasto asset, or a measured benchmark. Aguasto Research documents third-party hardware, models and software. References do not represent Aguasto inventory, evaluated deployments or available inference services. ### Checkpoint identity Official identifier openai/gpt-oss-120b[OpenAI gpt-oss-120b official model card (external source)](https://huggingface.co/openai/gpt-oss-120b) · [gpt-oss-120b checkpoint configuration (external source)](https://huggingface.co/openai/gpt-oss-120b/blob/main/config.json) · [gpt-oss-120b Apache 2.0 license (external source)](https://huggingface.co/openai/gpt-oss-120b/blob/main/LICENSE) Architecture Mixture-of-experts reasoning language model[OpenAI gpt-oss-120b official model card (external source)](https://huggingface.co/openai/gpt-oss-120b) · [gpt-oss-120b checkpoint configuration (external source)](https://huggingface.co/openai/gpt-oss-120b/blob/main/config.json) · [gpt-oss-120b Apache 2.0 license (external source)](https://huggingface.co/openai/gpt-oss-120b/blob/main/LICENSE) Total parameters 117 billionPublished rounded counts; total stored weights determine the preliminary footprint, including all MoE experts.[OpenAI gpt-oss-120b official model card (external source)](https://huggingface.co/openai/gpt-oss-120b) · [gpt-oss-120b checkpoint configuration (external source)](https://huggingface.co/openai/gpt-oss-120b/blob/main/config.json) · [gpt-oss-120b Apache 2.0 license (external source)](https://huggingface.co/openai/gpt-oss-120b/blob/main/LICENSE) Active parameters 5.1 billion per tokenActive parameters are a compute-related count, not the model's full stored weight count.[OpenAI gpt-oss-120b official model card (external source)](https://huggingface.co/openai/gpt-oss-120b) · [gpt-oss-120b checkpoint configuration (external source)](https://huggingface.co/openai/gpt-oss-120b/blob/main/config.json) · [gpt-oss-120b Apache 2.0 license (external source)](https://huggingface.co/openai/gpt-oss-120b/blob/main/LICENSE) Modalities text-input, text-output[OpenAI gpt-oss-120b official model card (external source)](https://huggingface.co/openai/gpt-oss-120b) · [gpt-oss-120b checkpoint configuration (external source)](https://huggingface.co/openai/gpt-oss-120b/blob/main/config.json) · [gpt-oss-120b Apache 2.0 license (external source)](https://huggingface.co/openai/gpt-oss-120b/blob/main/LICENSE) Context 131,072 tokensNative configuration where directly verified. Extensions, advertised K-labels and configuration differences are preserved in the notes below.[OpenAI gpt-oss-120b official model card (external source)](https://huggingface.co/openai/gpt-oss-120b) · [gpt-oss-120b checkpoint configuration (external source)](https://huggingface.co/openai/gpt-oss-120b/blob/main/config.json) · [gpt-oss-120b Apache 2.0 license (external source)](https://huggingface.co/openai/gpt-oss-120b/blob/main/LICENSE) Release date Exact release date not independently established in the reviewed artifacts[OpenAI gpt-oss-120b official model card (external source)](https://huggingface.co/openai/gpt-oss-120b) · [gpt-oss-120b checkpoint configuration (external source)](https://huggingface.co/openai/gpt-oss-120b/blob/main/config.json) · [gpt-oss-120b Apache 2.0 license (external source)](https://huggingface.co/openai/gpt-oss-120b/blob/main/LICENSE) Download access Public checkpoint reference[OpenAI gpt-oss-120b official model card (external source)](https://huggingface.co/openai/gpt-oss-120b) · [gpt-oss-120b checkpoint configuration (external source)](https://huggingface.co/openai/gpt-oss-120b/blob/main/config.json) · [gpt-oss-120b Apache 2.0 license (external source)](https://huggingface.co/openai/gpt-oss-120b/blob/main/LICENSE) License Apache 2.0The weights include Apache 2.0 terms with redistribution notice, modification and patent-license conditions. The license does not itself establish suitability for a particular customer workload.[OpenAI gpt-oss-120b official model card (external source)](https://huggingface.co/openai/gpt-oss-120b) · [gpt-oss-120b checkpoint configuration (external source)](https://huggingface.co/openai/gpt-oss-120b/blob/main/config.json) · [gpt-oss-120b Apache 2.0 license (external source)](https://huggingface.co/openai/gpt-oss-120b/blob/main/LICENSE) ### Theoretical weight-memory footprint Using the publisher's approximately 117 billion total parameters at 16 bits per parameter gives **234 GB** (217.9 GiB) of nominal weights. weight GB = total parameters in billions × bits per weight / 8 This estimate excludes KV cache, activations, quantization metadata, non-weight buffers and serving overhead. It is not a tested GPU fit. MoE routing activates only part of the network per token while the complete expert weights still need storage. [Explore the memory estimator](https://www.aguasto.com/tools) #### Quantization The publisher supplies MXFP4 MoE weights, while selected other modules remain unquantized. Compatible kernels and the correct format are required; plain 4-bit estimates are insufficient. [OpenAI gpt-oss-120b official model card (external source)](https://huggingface.co/openai/gpt-oss-120b) · [gpt-oss-120b checkpoint configuration (external source)](https://huggingface.co/openai/gpt-oss-120b/blob/main/config.json) · [gpt-oss-120b Apache 2.0 license (external source)](https://huggingface.co/openai/gpt-oss-120b/blob/main/LICENSE) ### Serving considerations - The name 120b is a product label; the card states approximately 117B total and 5.1B active parameters. Do not substitute 120B for the documented total. - The config specifies 131,072 positions. The Harmony message format is required, including correct handling of reasoning and tool output. - The publisher's single 80GB GPU statement is not Aguasto's measured capacity. Batch size, cache, context and backend affect fit; Aguasto has not tested or deployed this checkpoint. [OpenAI gpt-oss-120b official model card (external source)](https://huggingface.co/openai/gpt-oss-120b) · [gpt-oss-120b checkpoint configuration (external source)](https://huggingface.co/openai/gpt-oss-120b/blob/main/config.json) · [gpt-oss-120b Apache 2.0 license (external source)](https://huggingface.co/openai/gpt-oss-120b/blob/main/LICENSE) #### Framework documentation These are third-party documentation starting points. Support depends on the exact checkpoint, runtime version and hardware. ### Continue the research [vLLM](https://www.aguasto.com/inference-stack/vllm) [SGLang](https://www.aguasto.com/inference-stack/sglang) [Compare model references](https://www.aguasto.com/models/compare) [GPU specification library](https://www.aguasto.com/gpus) [Weights, cache and serving overhead](https://www.aguasto.com/learn/model-weights-and-runtime-memory) ### Sources & verification Reference revision 1 · Reviewed October 12, 2026. Manufacturer claims and documentation are attributed; Aguasto has not run the cited products in production. - [OpenAI gpt-oss-120b official model card ↗](https://huggingface.co/openai/gpt-oss-120b) 117B total / 5.1B active rounded counts; text reasoning model; MXFP4 MoE weights; Harmony formatting requirement; conditional publisher hardware example; vLLM / SGLang references; open access. Publication: date not stated in the reviewed source. Verified: 2026-10-12. - [gpt-oss-120b checkpoint configuration ↗](https://huggingface.co/openai/gpt-oss-120b/blob/main/config.json) 131072 max\_position\_embeddings; MoE configuration; MXFP4 and modules excluded from quantization. Publication: date not stated in the reviewed source. Verified: 2026-10-12. - [gpt-oss-120b Apache 2.0 license ↗](https://huggingface.co/openai/gpt-oss-120b/blob/main/LICENSE) Apache 2.0 weight license terms. Publication: date not stated in the reviewed source. 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