diff --git a/packages/ai/src/providers/amazon-bedrock.ts b/packages/ai/src/providers/amazon-bedrock.ts
index ae0593c6..f23dd5d0 100644
--- a/packages/ai/src/providers/amazon-bedrock.ts
+++ b/packages/ai/src/providers/amazon-bedrock.ts
@@ -481,17 +481,17 @@ function handleContentBlockStop(
  * Checks both model ID and model name to support application inference profiles
  * whose ARNs don't contain the model name.
  */
+function getModelMatchCandidates(modelId: string, modelName?: string): string[] {
+	const values = modelName ? [modelId, modelName] : [modelId];
+	return values.flatMap((value) => {
+		const lower = value.toLowerCase();
+		return [lower, lower.replace(/[\s_.:]+/g, "-")];
+	});
+}
+
 function supportsAdaptiveThinking(modelId: string, modelName?: string): boolean {
-	const candidates = modelName ? [modelId, modelName] : [modelId];
-	return candidates.some(
-		(s) =>
-			s.includes("opus-4-6") ||
-			s.includes("opus-4.6") ||
-			s.includes("opus-4-7") ||
-			s.includes("opus-4.7") ||
-			s.includes("sonnet-4-6") ||
-			s.includes("sonnet-4.6"),
-	);
+	const candidates = getModelMatchCandidates(modelId, modelName);
+	return candidates.some((s) => s.includes("opus-4-6") || s.includes("opus-4-7") || s.includes("sonnet-4-6"));
 }
 
 function mapThinkingLevelToEffort(
@@ -499,7 +499,7 @@ function mapThinkingLevelToEffort(
 	modelId: string,
 	modelName?: string,
 ): "low" | "medium" | "high" | "xhigh" | "max" {
-	const candidates = modelName ? [modelId, modelName] : [modelId];
+	const candidates = getModelMatchCandidates(modelId, modelName);
 	switch (level) {
 		case "minimal":
 		case "low":
@@ -509,10 +509,10 @@ function mapThinkingLevelToEffort(
 		case "high":
 			return "high";
 		case "xhigh":
-			if (candidates.some((s) => s.includes("opus-4-6") || s.includes("opus-4.6"))) {
+			if (candidates.some((s) => s.includes("opus-4-6"))) {
 				return "max";
 			}
-			if (candidates.some((s) => s.includes("opus-4-7") || s.includes("opus-4.7"))) {
+			if (candidates.some((s) => s.includes("opus-4-7"))) {
 				return "xhigh";
 			}
 			return "high";
@@ -565,10 +565,7 @@ function isAnthropicClaudeModel(model: Model<"bedrock-converse-stream">): boolea
  * Amazon Nova models have automatic caching and don't need explicit cache points.
  */
 function supportsPromptCaching(model: Model<"bedrock-converse-stream">): boolean {
-	const candidates = [model.id.toLowerCase()];
-	if (model.name) {
-		candidates.push(model.name.toLowerCase());
-	}
+	const candidates = getModelMatchCandidates(model.id, model.name);
 
 	const hasClaudeRef = candidates.some((s) => s.includes("claude"));
 	if (!hasClaudeRef) {
@@ -578,7 +575,7 @@ function supportsPromptCaching(model: Model<"bedrock-converse-stream">): boolean
 		return false;
 	}
 	// Claude 4.x models (opus-4, sonnet-4, haiku-4)
-	if (candidates.some((s) => s.includes("-4-") || s.includes("-4."))) return true;
+	if (candidates.some((s) => s.includes("-4-"))) return true;
 	// Claude 3.7 Sonnet
 	if (candidates.some((s) => s.includes("claude-3-7-sonnet"))) return true;
 	// Claude 3.5 Haiku