diff --git a/src/shared/__tests__/embeddingModels.spec.ts b/src/shared/__tests__/embeddingModels.spec.ts
new file mode 100644
index 0000000000..7a0b718ede
--- /dev/null
+++ b/src/shared/__tests__/embeddingModels.spec.ts
@@ -0,0 +1,46 @@
+import { describe, it, expect } from "vitest"
+import { getModelDimension, EMBEDDING_MODEL_PROFILES } from "../embeddingModels"
+
+describe("embeddingModels", () => {
+	describe("EMBEDDING_MODEL_PROFILES", () => {
+		it("should have codestral-embed model defined for openai-compatible provider", () => {
+			const openAiCompatibleModels = EMBEDDING_MODEL_PROFILES["openai-compatible"]
+			expect(openAiCompatibleModels).toBeDefined()
+			expect(openAiCompatibleModels?.["codestral-embed"]).toBeDefined()
+			expect(openAiCompatibleModels?.["codestral-embed"].dimension).toBe(3072)
+			expect(openAiCompatibleModels?.["codestral-embed"].scoreThreshold).toBe(0.4)
+		})
+
+		it("should have codestral-embed model defined for mistral provider", () => {
+			const mistralModels = EMBEDDING_MODEL_PROFILES["mistral"]
+			expect(mistralModels).toBeDefined()
+			expect(mistralModels?.["codestral-embed-2505"]).toBeDefined()
+			expect(mistralModels?.["codestral-embed-2505"].dimension).toBe(1536)
+			expect(mistralModels?.["codestral-embed-2505"].scoreThreshold).toBe(0.4)
+		})
+	})
+
+	describe("getModelDimension", () => {
+		it("should return correct dimension for codestral-embed in openai-compatible provider", () => {
+			const dimension = getModelDimension("openai-compatible", "codestral-embed")
+			expect(dimension).toBe(3072)
+		})
+
+		it("should return correct dimension for codestral-embed-2505 in mistral provider", () => {
+			const dimension = getModelDimension("mistral", "codestral-embed-2505")
+			expect(dimension).toBe(1536)
+		})
+
+		it("should return undefined for unknown model", () => {
+			const dimension = getModelDimension("openai-compatible", "unknown-model")
+			expect(dimension).toBeUndefined()
+		})
+
+		it("should return correct dimensions for other openai-compatible models", () => {
+			expect(getModelDimension("openai-compatible", "text-embedding-3-small")).toBe(1536)
+			expect(getModelDimension("openai-compatible", "text-embedding-3-large")).toBe(3072)
+			expect(getModelDimension("openai-compatible", "text-embedding-ada-002")).toBe(1536)
+			expect(getModelDimension("openai-compatible", "nomic-embed-code")).toBe(3584)
+		})
+	})
+})
diff --git a/src/shared/embeddingModels.ts b/src/shared/embeddingModels.ts
index a3cd61e659..e969919618 100644
--- a/src/shared/embeddingModels.ts
+++ b/src/shared/embeddingModels.ts
@@ -45,6 +45,7 @@ export const EMBEDDING_MODEL_PROFILES: EmbeddingModelProfiles = {
 			scoreThreshold: 0.15,
 			queryPrefix: "Represent this query for searching relevant code: ",
 		},
+		"codestral-embed": { dimension: 3072, scoreThreshold: 0.4 },
 	},
 	gemini: {
 		"text-embedding-004": { dimension: 768 },