granite model

Author: mchenco

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

@@ -57,6 +57,7 @@ The Price in Tokens column is equivalent to the Price in Neurons column - the di
 | @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 |
 | @cf/aisingapore/gemma-sea-lion-v4-27b-it | $0.351 per M input tokens <br/> $0.555 per M output tokens | 31876 neurons per M input tokens <br/> 50488 neurons per M output tokens |
+| @cf/ibm-granite/granite-4.0-h-micro | $0.017 per M input tokens <br/> $0.112 per M output tokens | 1542 neurons per M input tokens <br/> 10158 neurons per M output tokens |
 
 ## Embeddings model pricing
 

src/content/workers-ai-models/granite-4.0-h-micro.json

@@ -0,0 +1,35 @@
+{
+    "id": "7952d0cc-cb00-4e10-be02-667565c2ee0f",
+    "source": 1,
+    "name": "@cf/ibm-granite/granite-4.0-h-micro",
+    "description": "Granite 4.0 instruct models deliver strong performance across benchmarks, achieving industry-leading results in key agentic tasks like instruction following and function calling. These efficiencies make the models well-suited for a wide range of use cases like retrieval-augmented generation (RAG), multi-agent workflows, and edge deployments.",
+    "task": {
+        "id": "c329a1f9-323d-4e91-b2aa-582dd4188d34",
+        "name": "Text Generation",
+        "description": "Family of generative text models, such as large language models (LLM), that can be adapted for a variety of natural language tasks."
+    },
+    "created_at": "2025-10-07 18:46:29.436",
+    "tags": [],
+    "properties": [
+        {
+            "property_id": "context_window",
+            "value": "131000"
+        },
+        {
+            "property_id": "price",
+            "value": [
+                {
+                    "unit": "per M input tokens",
+                    "price": 0.017,
+                    "currency": "USD"
+                },
+                {
+                    "unit": "per M output tokens",
+                    "price": 0.11,
+                    "currency": "USD"
+                }
+            ]
+        }
+    ],
+    "schema": {}
+}