diff --git a/models.yml b/models.yml
index ed466804..5e101827 100644
--- a/models.yml
+++ b/models.yml
@@ -8,35 +8,35 @@
 episodic:
   ollama: nomic-embed-text
   openai: text-embedding-3-small
-  gemini: models/text-embedding-004
+  gemini: models/gemini-embedding-001
   aws: amazon.titan-embed-text-v2:0
   local: all-MiniLM-L6-v2
 
 semantic:
   ollama: nomic-embed-text
   openai: text-embedding-3-small
-  gemini: models/text-embedding-004
+  gemini: models/gemini-embedding-001
   aws: amazon.titan-embed-text-v2:0
   local: all-MiniLM-L6-v2
 
 procedural:
   ollama: nomic-embed-text
   openai: text-embedding-3-small
-  gemini: models/text-embedding-004
+  gemini: models/gemini-embedding-001
   aws: amazon.titan-embed-text-v2:0
   local: all-MiniLM-L6-v2
 
 emotional:
   ollama: nomic-embed-text
   openai: text-embedding-3-small
-  gemini: models/text-embedding-004
+  gemini: models/gemini-embedding-001
   aws: amazon.titan-embed-text-v2:0
   local: all-MiniLM-L6-v2
 
 reflective:
   ollama: nomic-embed-text
   openai: text-embedding-3-large
-  gemini: models/text-embedding-004
+  gemini: models/gemini-embedding-001
   aws: amazon.titan-embed-text-v2:0
   local: all-mpnet-base-v2
 # Available Ollama models (pull with: ollama pull <model>)
@@ -50,7 +50,8 @@ reflective:
 # - text-embedding-3-large (3072d)
 
 # Gemini models:
-# - models/text-embedding-004 (768d) - latest
+# - models/gemini-embedding-001 (3072d native, configurable via outputDimensionality) - current GA
+# - models/text-embedding-004 (768d) - deprecated, returns 404
 # - models/embedding-001 (768d) - deprecated
 
 #AWS models:
diff --git a/packages/openmemory-js/src/core/models.ts b/packages/openmemory-js/src/core/models.ts
index 0e2cf6b7..69b77f9c 100644
--- a/packages/openmemory-js/src/core/models.ts
+++ b/packages/openmemory-js/src/core/models.ts
@@ -51,7 +51,7 @@ const get_defaults = (): model_cfg => ({
     episodic: {
         ollama: "nomic-embed-text",
         openai: "text-embedding-3-small",
-        gemini: "models/embedding-001",
+        gemini: "models/gemini-embedding-001",
         aws: "amazon.titan-embed-text-v2:0",
         siray: "text-embedding-3-small",
         local: "all-MiniLM-L6-v2",
@@ -59,7 +59,7 @@ const get_defaults = (): model_cfg => ({
     semantic: {
         ollama: "nomic-embed-text",
         openai: "text-embedding-3-small",
-        gemini: "models/embedding-001",
+        gemini: "models/gemini-embedding-001",
         aws: "amazon.titan-embed-text-v2:0",
         siray: "text-embedding-3-small",
         local: "all-MiniLM-L6-v2",
@@ -67,21 +67,21 @@ const get_defaults = (): model_cfg => ({
     procedural: {
         ollama: "nomic-embed-text",
         openai: "text-embedding-3-small",
-        gemini: "models/embedding-001",
+        gemini: "models/gemini-embedding-001",
         aws: "amazon.titan-embed-text-v2:0",
         local: "all-MiniLM-L6-v2",
     },
     emotional: {
         ollama: "nomic-embed-text",
         openai: "text-embedding-3-small",
-        gemini: "models/embedding-001",
+        gemini: "models/gemini-embedding-001",
         aws: "amazon.titan-embed-text-v2:0",
         local: "all-MiniLM-L6-v2",
     },
     reflective: {
         ollama: "nomic-embed-text",
         openai: "text-embedding-3-large",
-        gemini: "models/embedding-001",
+        gemini: "models/gemini-embedding-001",
         aws: "amazon.titan-embed-text-v2:0",
         local: "all-mpnet-base-v2",
     },
diff --git a/packages/openmemory-js/src/memory/embed.ts b/packages/openmemory-js/src/memory/embed.ts
index 5c63b8de..2c9ec67d 100644
--- a/packages/openmemory-js/src/memory/embed.ts
+++ b/packages/openmemory-js/src/memory/embed.ts
@@ -307,11 +307,11 @@ async function emb_gemini(
 ): Promise<Record<string, number[]>> {
     if (!env.gemini_key) throw new Error("Gemini key missing");
     const prom = gem_q.then(async () => {
-        const url = `https://generativelanguage.googleapis.com/v1beta/models/text-embedding-004:batchEmbedContents?key=${env.gemini_key}`;
+        const url = `https://generativelanguage.googleapis.com/v1beta/models/gemini-embedding-001:batchEmbedContents?key=${env.gemini_key}`;
         for (let a = 0; a < 3; a++) {
             try {
                 const reqs = Object.entries(txts).map(([s, t]) => ({
-                    model: "models/text-embedding-004",
+                    model: "models/gemini-embedding-001",
                     content: { parts: [{ text: t }] },
                     taskType: task_map[s] || task_map.semantic,
                 }));
@@ -705,7 +705,7 @@ export const getEmbeddingInfo = () => {
     } else if (env.emb_kind === "gemini") {
         i.configured = !!env.gemini_key;
         i.batch_api = env.embed_mode === "simple";
-        i.model = "embedding-001";
+        i.model = "gemini-embedding-001";
     } else if (env.emb_kind === "aws") {
         i.configured =
             !!env.AWS_REGION &&