openai
OpenAI: gpt-oss-safeguard-20b
openai/gpt-oss-safeguard-20b
gpt-oss-safeguard-20b is a safety reasoning model from OpenAI built upon gpt-oss-20b. This open-weight, 21B-parameter Mixture-of-Experts (MoE) model offers lower latency for safety tasks like content classification, LLM filtering, and trust...
- Type
- text
- Provider
- openai
- Model ID
- openai/gpt-oss-safeguard-20b
- Capabilities
- tools, reasoning
- Context window
- 131K tokens
- Self-hostable
- Yes — runs on your own GPU
- Input price
- $0.083 / 1M tokens
- Output price
- $0.33 / 1M tokens
Cloud price is billed from prepaid credits when a request fails over to the cloud. Open-weight models run free on GPUs you own — the gateway routes to your nodes first.
What it costs to run
cloud · 1M in + 1M out
$0.41
$0.083 for a million input tokens plus $0.33 for a million output tokens, billed from credits only when a request fails over to the cloud.
your hardware
$0 / token
Served from a workstation or on-prem server you own, there is no per-token fee — the marginal cost is power.
Run it on your own hardware
Estimated GPU memory for OpenAI: gpt-oss-safeguard-20b (20B parameters), for the weights alone — add room for the context cache.
- Q4_K_M
- ~12.1 GBfits a 16 GB card
- Q8_0
- ~20.5 GBfits a 24 GB card
- FP16 / BF16
- ~38.0 GBfits a 48 GB card
Install the agent on the machine and it dials out to the gateway over a single WebSocket — no port forwarding or inbound firewall rules. Requests for this model go to your node first and fail over to the cloud only when it can't serve.
/// initialize
Call OpenAI: gpt-oss-safeguard-20b through one OpenAI-compatible endpoint.
Serve it from hardware you own, with cloud failover when your nodes are busy or offline.
no credit card · 2 nodes free · openai-compatible
Frequently asked questions
- What is the context window of OpenAI: gpt-oss-safeguard-20b?
- OpenAI: gpt-oss-safeguard-20b accepts up to 131,072 tokens (131K) of context per request.
- How much does OpenAI: gpt-oss-safeguard-20b cost per million tokens?
- Through Wide Area Intelligence, OpenAI: gpt-oss-safeguard-20b costs $0.083 per 1M input tokens and $0.33 per 1M output tokens when served from the cloud, billed from prepaid credits. A workload of 1M input plus 1M output tokens costs $0.41.
- Can I run OpenAI: gpt-oss-safeguard-20b on my own hardware?
- Yes — OpenAI: gpt-oss-safeguard-20b is an open-weight model you can run on a workstation or on-prem server you own. At Q4_K_M it needs roughly 12.1 GB of GPU memory, plus room for the context cache — it fits a single 16 GB card. Wide Area Intelligence routes requests to your own nodes first and fails over to the cloud only when they can't serve.