pinning and pricing

Author: mchenco

src/components/ModelCatalog.tsx

@@ -22,6 +22,8 @@ const ModelCatalog = ({ models }: { models: WorkersAIModelsSchema[] }) => {
 
 	// List of model names to pin at the top
 	const pinnedModelNames = [
+		"@cf/openai/gpt-oss-120b",
+		"@cf/openai/gpt-oss-20b",
 		"@cf/meta/llama-4-scout-17b-16e-instruct",
 		"@cf/meta/llama-3.3-70b-instruct-fp8-fast",
 		"@cf/meta/llama-3.1-8b-instruct-fast",

src/content/docs/workers-ai/platform/pricing.mdx

@@ -54,6 +54,8 @@ The Price in Tokens column is equivalent to the Price in Neurons column - the di
 | @cf/google/gemma-3-12b-it                    | $0.345 per M input tokens <br/> $0.556 per M output tokens | 31371 neurons per M input tokens <br/> 50560 neurons per M output tokens  |
 | @cf/qwen/qwq-32b                             | $0.660 per M input tokens <br/> $1.000 per M output tokens | 60000 neurons per M input tokens <br/> 90909 neurons per M output tokens  |
 | @cf/qwen/qwen2.5-coder-32b-instruct          | $0.660 per M input tokens <br/> $1.000 per M output tokens | 60000 neurons per M input tokens <br/> 90909 neurons per M output tokens  |
+| @cf/openai/gpt-oss-120b | $0.350 per M input tokens <br/> $0.750 per M output tokens | 31818 neurons per M input tokens <br/> 68182 neurons per M output tokens |
+| @cf/openai/gpt-oss-20b  | $0.200 per M input tokens <br/> $0.300 per M output tokens | 18182 neurons per M input tokens <br/> 27273 neurons per M output tokens |
 
 ## Embeddings model pricing