diff --git a/packages/stats/core/src/domain/inference.test.ts b/packages/stats/core/src/domain/inference.test.ts
index 20dbe86205..4f51599d71 100644
--- a/packages/stats/core/src/domain/inference.test.ts
+++ b/packages/stats/core/src/domain/inference.test.ts
@@ -36,6 +36,8 @@ describe("inference stat normalization", () => {
     expect(modelAuthor("nemotron-3-super-free")).toBe("nvidia")
     expect(modelAuthor("qwen3.7-max")).toBe("qwen")
     expect(modelAuthor("alpha-gpt-next")).toBeUndefined()
+    expect(modelAuthor("omen-alpha")).toBe("unknown")
+    expect(modelAuthor("OMEN-ALPHA-free:global")).toBe("unknown")
   })
 
   test("uses provider.model to resolve opencode route providers", () => {
@@ -49,6 +51,22 @@ describe("inference stat normalization", () => {
     expect(statProvider("unknown", "", "custom-provider")).toBe("custom-provider")
   })
 
+  test("keeps stealth model usage without exposing the route provider", () => {
+    expect(statProvider("omen-alpha", "gpt-test-model", "test-provider")).toBe("unknown")
+    expect(statProvider("OMEN-ALPHA-free:global", "gpt-test-model", "test-provider")).toBe("unknown")
+    expect(statProvider("omen-alpha", "", "test-provider")).toBe("unknown")
+
+    const row = { ...aggregate("omen-alpha", "test-provider"), provider_model: "gpt-test-model" }
+    expect(toModelAggregate(row)).toMatchObject([{ model: "omen-alpha", provider: "unknown", requests: 1 }])
+    expect(toProviderAggregate(row)).toMatchObject([{ provider: "unknown", requests: 1 }])
+    expect(toGeoAggregate({ ...row, country: "US" })).toMatchObject([
+      { model: "omen-alpha", provider: "unknown", country: "US", requests: 1 },
+    ])
+    expect(toRetentionAggregate({ ...row, cohort_date: "2026-08-10", eligible_users: "12" })).toMatchObject([
+      { model: "omen-alpha", provider: "unknown", eligibleUsers: 12 },
+    ])
+  })
+
   test("merges renamed models under their current name", () => {
     expect(statModel("deepseek-v4-flash-0731", "")).toBe("deepseek-v4-flash")
     expect(statModel("deepseek-v4-flash-0731-free", "")).toBe("deepseek-v4-flash")
@@ -124,6 +142,10 @@ describe("inference stat normalization", () => {
     })
 
     expect(queries).toHaveLength(8)
+    queries.forEach((query) => {
+      expect(query).toContain("WHERE lower(model) NOT IN ('alpha-gpt-next')")
+      expect(query).toContain("CASE\n      WHEN lower(model) IN ('omen-alpha') THEN 'unknown'\n")
+    })
     expect(queries[0]).toContain("'week' AS grain")
     expect(queries[0]).toContain("'2026-W33' AS period_key")
     expect(queries[2]).toContain("'2026-08-10' AS period_key")
@@ -186,6 +208,8 @@ describe("inference stat normalization", () => {
     expect(queries).toHaveLength(1)
     expect(queries[0]?.cohortDates).toEqual(["2026-08-10", "2026-08-17"])
     expect(queries[0]?.query).toContain("AND product = 'go'")
+    expect(queries[0]?.query).toContain("AND lower(model) NOT IN ('alpha-gpt-next')")
+    expect(queries[0]?.query).toContain("CASE\n      WHEN lower(model) IN ('omen-alpha') THEN 'unknown'\n")
     expect(queries[0]?.query).toContain("COUNT(*) AS model_requests")
     expect(queries[0]?.query).toContain("SUM(model_requests) AS total_requests")
     expect(queries[0]?.query).toContain("MAX(model_requests) AS max_model_requests")
diff --git a/packages/stats/core/src/domain/inference.ts b/packages/stats/core/src/domain/inference.ts
index 3767b7ba4d..bdba90b11f 100644
--- a/packages/stats/core/src/domain/inference.ts
+++ b/packages/stats/core/src/domain/inference.ts
@@ -8,6 +8,7 @@ import {
   MODEL_AUTHOR_RULES,
   MODEL_NAME_ALIASES,
   RETIRED_STAT_PROVIDERS,
+  STEALTH_MODELS,
   statModel,
   statProvider,
 } from "./model-normalization"
@@ -483,6 +484,7 @@ function freeTierSql(tier: string, model: string) {
 
 function statProviderSql(model: string, providerModel: string, provider: string) {
   return `CASE
+      WHEN lower(${model}) IN (${[...STEALTH_MODELS].map(sqlString).join(", ")}) THEN 'unknown'
 ${MODEL_AUTHOR_RULES.map((item) => `      WHEN strpos(lower(${providerModel}), ${sqlString(item.match)}) > 0 THEN ${sqlString(item.author)}`).join("\n")}
 ${MODEL_AUTHOR_RULES.map((item) => `      WHEN strpos(lower(${model}), ${sqlString(item.match)}) > 0 THEN ${sqlString(item.author)}`).join("\n")}
       WHEN ${provider} <> '' AND lower(${provider}) NOT IN (${RETIRED_STAT_PROVIDERS.map(sqlString).join(", ")}) THEN ${provider}
diff --git a/packages/stats/core/src/domain/model-normalization.ts b/packages/stats/core/src/domain/model-normalization.ts
index 6f2edb117d..cbceca3486 100644
--- a/packages/stats/core/src/domain/model-normalization.ts
+++ b/packages/stats/core/src/domain/model-normalization.ts
@@ -14,6 +14,7 @@ export const MODEL_AUTHOR_RULES = [
   { match: "qwen", author: "qwen" },
 ] as const
 export const EXCLUDED_MODELS = new Set(["alpha-gpt-next"])
+export const STEALTH_MODELS = new Set(["omen-alpha"])
 export const FREE_MODELS = new Set(["gpt-5-nano", "grok-code", "big-pickle"])
 export const MODEL_NAME_ALIASES: Record<string, string> = {
   "deepseek-v4-flash-0731": "deepseek-v4-flash",
@@ -47,7 +48,10 @@ export function statProvider(
   providerModel: string | undefined,
   provider: string | undefined,
 ) {
-  const modelAuthorValue = modelAuthor(statModel(model, providerModel))
+  const normalized = statModel(model, providerModel)
+  if (STEALTH_MODELS.has(normalized)) return "unknown"
+
+  const modelAuthorValue = modelAuthor(normalized)
   if (!modelAuthorValue) return undefined
 
   const providerModelAuthor = modelAuthor(providerModel)