Measured on Composite
This model has not carried enough traffic on Composite yet to publish a success rate, a latency figure or a traffic rank. The numbers appear here once it has.
AI model
OpenAI: gpt-oss-safeguard-20b
openai/gpt-oss-safeguard-20b
OpenAI: gpt-oss-safeguard-20b is a 131,072-token model served on Composite at $0.0938 per million tokens in and $0.375 per million tokens out.
Try in PlaygroundSpecifications
| Model ID | openai/gpt-oss-safeguard-20b |
|---|---|
| Provider | cv11 |
| Context window | 131,072 tokens |
| Accepts | text |
| Returns | text |
| Input price | $0.0938 per million tokens |
| Output price | $0.375 per million tokens |
| Prompt caching | Supported — cached input is billed at the provider's cache rate, on credits and plans alike |
| Thinking | Always on for this model |
| Moderated | No |
| Cost on a monthly plan | About 0.9 plan credits per typical call (8k in, 1k out) |
| Routing endpoints | 2 (base plus 1 routing variant) |
Routing variants
The same model behind 1 alternative endpoint. Call the id directly to pin a route; the base id above picks for you.
| Route | Model ID | Provider | Price |
|---|---|---|---|
| cheapThink | openai/gpt-oss-safeguard-20b:cheapThink |
cv11 | $0.0938 per million tokens input · $0.375 per million tokens output |
Pricing
$0.0938 per million tokens input · $0.375 per million tokens output
Credits pay the provider’s price plus 25%; cache hits cost less.
On a monthly plan, a typical call (8k tokens in, 1k out) uses about 0.9 plan credits, at the provider's own price.
Provider
cv11
Roleplay fit
This is an OpenAI model, a dependable baseline with broad instruction-following and consistent formatting across long conversations.
Context behavior
With a 131,072-token context window, it can hold a long-running roleplay or a full lorebook in memory without losing earlier plot details, so it suits multi-session campaigns and character cards with heavy backstory.
Cost for regular use
It is priced low enough for high-volume daily roleplay without the per-message cost adding up quickly.
From the provider
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...
Supplied by cv11, not written by Composite.
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