openai
OpenAI: gpt-oss-20b
openai/gpt-oss-20b
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...
- Type
- text
- Provider
- openai
- Model ID
- openai/gpt-oss-20b
- Capabilities
- tools, reasoning
- Context window
- 131K tokens
- Self-hostable
- Yes — runs on your own GPU
- Input price
- $0.033 / 1M tokens
- Output price
- $0.14 / 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
$0.18
$0.033 for a million input tokens plus $0.14 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-20b (22B parameters), including the KV cache for a 8,192-token context.
- Q4_K_M
- ~13.2 GBfits a 16 GB card
- Q8_0
- ~22.2 GBfits a 24 GB card
- FP16 / BF16
- ~41.0 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-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-20b?
- OpenAI: gpt-oss-20b accepts up to 131,072 tokens (131K) of context per request.
- How much does OpenAI: gpt-oss-20b cost per million tokens?
- Through Wide Area Intelligence, OpenAI: gpt-oss-20b costs $0.033 per 1M input tokens and $0.14 per 1M output tokens when served from the cloud, billed from prepaid credits. A workload of 1M input plus 1M output tokens costs $0.18.
- Can I run OpenAI: gpt-oss-20b on my own hardware?
- Yes — OpenAI: gpt-oss-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 13.2 GB of GPU memory with an 8,192-token context — 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.