diff --git a/packages/inference/README.md b/packages/inference/README.md
index 9e686d9089..b2910ed186 100644
--- a/packages/inference/README.md
+++ b/packages/inference/README.md
@@ -61,6 +61,7 @@ Currently, we support the following providers:
 - [Sambanova](https://sambanova.ai)
 - [Scaleway](https://www.scaleway.com/en/generative-apis/)
 - [Together](https://together.xyz)
+- [Baseten](https://baseten.co)
 - [Blackforestlabs](https://blackforestlabs.ai)
 - [Cohere](https://cohere.com)
 - [Cerebras](https://cerebras.ai/)
@@ -97,6 +98,7 @@ Only a subset of models are supported when requesting third-party providers. You
 - [Sambanova supported models](https://huggingface.co/api/partners/sambanova/models)
 - [Scaleway supported models](https://huggingface.co/api/partners/scaleway/models)
 - [Together supported models](https://huggingface.co/api/partners/together/models)
+- [Baseten supported models](https://huggingface.co/api/partners/baseten/models)
 - [Cohere supported models](https://huggingface.co/api/partners/cohere/models)
 - [Cerebras supported models](https://huggingface.co/api/partners/cerebras/models)
 - [Groq supported models](https://console.groq.com/docs/models)
diff --git a/packages/inference/src/lib/getProviderHelper.ts b/packages/inference/src/lib/getProviderHelper.ts
index d863d5dc5c..c41f929cab 100644
--- a/packages/inference/src/lib/getProviderHelper.ts
+++ b/packages/inference/src/lib/getProviderHelper.ts
@@ -1,3 +1,4 @@
+import * as Baseten from "../providers/baseten.js";
 import * as BlackForestLabs from "../providers/black-forest-labs.js";
 import * as Cerebras from "../providers/cerebras.js";
 import * as Cohere from "../providers/cohere.js";
@@ -55,6 +56,9 @@ import type { InferenceProvider, InferenceProviderOrPolicy, InferenceTask } from
 import { InferenceClientInputError } from "../errors.js";
 
 export const PROVIDERS: Record<InferenceProvider, Partial<Record<InferenceTask, TaskProviderHelper>>> = {
+	baseten: {
+		conversational: new Baseten.BasetenConversationalTask(),
+	},
 	"black-forest-labs": {
 		"text-to-image": new BlackForestLabs.BlackForestLabsTextToImageTask(),
 	},
diff --git a/packages/inference/src/providers/baseten.ts b/packages/inference/src/providers/baseten.ts
new file mode 100644
index 0000000000..c39661af2a
--- /dev/null
+++ b/packages/inference/src/providers/baseten.ts
@@ -0,0 +1,25 @@
+/**
+ * See the registered mapping of HF model ID => Baseten model ID here:
+ *
+ * https://huggingface.co/api/partners/baseten/models
+ *
+ * This is a publicly available mapping.
+ *
+ * If you want to try to run inference for a new model locally before it's registered on huggingface.co,
+ * you can add it to the dictionary "HARDCODED_MODEL_ID_MAPPING" in consts.ts, for dev purposes.
+ *
+ * - If you work at Baseten and want to update this mapping, please use the model mapping API we provide on huggingface.co
+ * - If you're a community member and want to add a new supported HF model to Baseten, please open an issue on the present repo
+ * and we will tag Baseten team members.
+ *
+ * Thanks!
+ */
+import { BaseConversationalTask } from "./providerHelper.js";
+
+const BASETEN_API_BASE_URL = "https://inference.baseten.co";
+
+export class BasetenConversationalTask extends BaseConversationalTask {
+	constructor() {
+		super("baseten", BASETEN_API_BASE_URL);
+	}
+}
diff --git a/packages/inference/src/providers/consts.ts b/packages/inference/src/providers/consts.ts
index 6c1bec7dec..1dfa656736 100644
--- a/packages/inference/src/providers/consts.ts
+++ b/packages/inference/src/providers/consts.ts
@@ -18,6 +18,7 @@ export const HARDCODED_MODEL_INFERENCE_MAPPING: Record<
 	 * Example:
 	 * "Qwen/Qwen2.5-Coder-32B-Instruct": "Qwen2.5-Coder-32B-Instruct",
 	 */
+	baseten: {},
 	"black-forest-labs": {},
 	cerebras: {},
 	cohere: {},
diff --git a/packages/inference/src/types.ts b/packages/inference/src/types.ts
index c218ebbfdb..b5d4815b5a 100644
--- a/packages/inference/src/types.ts
+++ b/packages/inference/src/types.ts
@@ -45,6 +45,7 @@ export interface Options {
 export type InferenceTask = Exclude<PipelineType, "other"> | "conversational";
 
 export const INFERENCE_PROVIDERS = [
+	"baseten",
 	"black-forest-labs",
 	"cerebras",
 	"cohere",
diff --git a/packages/inference/test/InferenceClient.spec.ts b/packages/inference/test/InferenceClient.spec.ts
index 52d27253d6..4520c389a1 100644
--- a/packages/inference/test/InferenceClient.spec.ts
+++ b/packages/inference/test/InferenceClient.spec.ts
@@ -2343,4 +2343,62 @@ describe.skip("InferenceClient", () => {
 		},
 		TIMEOUT
 	);
+
+	describe.concurrent(
+		"Baseten",
+		() => {
+			const client = new InferenceClient(env.HF_BASETEN_KEY ?? "dummy");
+
+			HARDCODED_MODEL_INFERENCE_MAPPING["baseten"] = {
+				"Qwen/Qwen3-235B-A22B-Instruct-2507": {
+					provider: "baseten",
+					hfModelId: "Qwen/Qwen3-235B-A22B-Instruct-2507",
+					providerId: "Qwen/Qwen3-235B-A22B-Instruct-2507",
+					status: "live",
+					task: "conversational",
+				},
+			};
+
+			it("chatCompletion - Qwen3 235B Instruct", async () => {
+				const res = await client.chatCompletion({
+					model: "Qwen/Qwen3-235B-A22B-Instruct-2507",
+					provider: "baseten",
+					messages: [{ role: "user", content: "What is 5 + 3?" }],
+					max_tokens: 20,
+				});
+				if (res.choices && res.choices.length > 0) {
+					const completion = res.choices[0].message?.content;
+					expect(completion).toBeDefined();
+					expect(typeof completion).toBe("string");
+					expect(completion).toMatch(/(eight|8)/i);
+				}
+			});
+
+			it("chatCompletion stream - Qwen3 235B", async () => {
+				const stream = client.chatCompletionStream({
+					model: "Qwen/Qwen3-235B-A22B-Instruct-2507",
+					provider: "baseten",
+					messages: [{ role: "user", content: "Count from 1 to 3" }],
+					stream: true,
+					max_tokens: 20,
+				}) as AsyncGenerator<ChatCompletionStreamOutput>;
+
+				let fullResponse = "";
+				for await (const chunk of stream) {
+					if (chunk.choices && chunk.choices.length > 0) {
+						const content = chunk.choices[0].delta?.content;
+						if (content) {
+							fullResponse += content;
+						}
+					}
+				}
+
+				// Verify we got a meaningful response
+				expect(fullResponse).toBeTruthy();
+				expect(fullResponse.length).toBeGreaterThan(0);
+				expect(fullResponse).toMatch(/1.*2.*3/);
+			});
+		},
+		TIMEOUT
+	);
 });