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Batch Inference is now generally available on Runpod Serverless

OpenAI

GPT-OSS 20B

OpenAI's 21B-parameter mixture-of-experts (3.6B active) open language model with a 128K-token context, ready to serve on Runpod Serverless with vLLM or on a Pod.

Language
Text generation
21B MoE · 3.6B active · 128K context
See deploy options

GPT-OSS 20B

Specifications

Provider
OpenAI
Modality
Language
Task
Text generation
Parameters
21B
Active parameters
3.6B
Context
128K tokens
Precision
MXFP4
Weights
14
License
apache-2.0
Released
2025-08-03
Endpoint ID
Weights on Hugging Face
openai/gpt-oss-20b

Frequently asked questions

How do I deploy GPT-OSS 20B on Runpod?

Deploy the vLLM worker from the Runpod Hub as a Serverless endpoint and set MODEL_NAME to openai/gpt-oss-20b. The endpoint is OpenAI-compatible and scales to zero when idle. You can also run vLLM on a Pod.

What GPU do I need to run GPT-OSS 20B?

Start with RTX 4090 (24 GB VRAM). The weights take about 14 GB; longer contexts and more concurrent requests need extra memory for the KV cache.

How much does GPT-OSS 20B cost on Runpod?

Serverless endpoints and Pods bill per second for the GPU you choose. A Serverless endpoint costs nothing while scaled to zero.

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openai-gpt-oss-20b
openai/gpt-oss-20b
Language
2025-08-03 17:00
RTX 4090