diff --git a/crates/goose/src/model.rs b/crates/goose/src/model.rs
index 22c4473c6e98..7c1096103c53 100644
--- a/crates/goose/src/model.rs
+++ b/crates/goose/src/model.rs
@@ -28,9 +28,14 @@ static MODEL_SPECIFIC_LIMITS: Lazy<HashMap<&'static str, usize>> = Lazy::new(||
     map.insert("llama3.3", 128_000);
 
     // x.ai Grok models, https://docs.x.ai/docs/overview
+    map.insert("grok", 131_072);
+
+    // Groq models, https://console.groq.com/docs/models
+    map.insert("gemma2-9b", 8_192);
+    map.insert("kimi-k2", 131_072);
+    map.insert("qwen3-32b", 131_072);
     map.insert("grok-3", 131_072);
     map.insert("grok-4", 256_000); // 256K
-
     map.insert("qwen3-coder", 262_144); // 262K
 
     map
diff --git a/crates/goose/src/providers/groq.rs b/crates/goose/src/providers/groq.rs
index 14e300c02348..e4c843702d90 100644
--- a/crates/goose/src/providers/groq.rs
+++ b/crates/goose/src/providers/groq.rs
@@ -13,8 +13,13 @@ use std::time::Duration;
 use url::Url;
 
 pub const GROQ_API_HOST: &str = "https://api.groq.com";
-pub const GROQ_DEFAULT_MODEL: &str = "llama-3.3-70b-versatile";
-pub const GROQ_KNOWN_MODELS: &[&str] = &["gemma2-9b-it", "llama-3.3-70b-versatile"];
+pub const GROQ_DEFAULT_MODEL: &str = "moonshotai/kimi-k2-instruct";
+pub const GROQ_KNOWN_MODELS: &[&str] = &[
+    "gemma2-9b-it",
+    "llama-3.3-70b-versatile",
+    "moonshotai/kimi-k2-instruct",
+    "qwen/qwen3-32b",
+];
 
 pub const GROQ_DOC_URL: &str = "https://console.groq.com/docs/models";
 
diff --git a/documentation/docs/getting-started/providers.md b/documentation/docs/getting-started/providers.md
index edf0b7639c0a..05bf5d3f6a38 100644
--- a/documentation/docs/getting-started/providers.md
+++ b/documentation/docs/getting-started/providers.md
@@ -247,6 +247,41 @@ These free options are a great way to get started with Goose and explore its cap
 :::
 
 
+### Groq
+Groq provides free access to open source models with high-speed inference. To use Groq with Goose, you need an API key from [Groq Console](https://console.groq.com/keys).
+
+Groq offers several open source models that support tool calling:
+- **moonshotai/kimi-k2-instruct** - Mixture-of-Experts model with 1 trillion parameters, optimized for agentic intelligence and tool use
+- **qwen/qwen3-32b** - 32.8 billion parameter model with advanced reasoning and multilingual capabilities  
+- **gemma2-9b-it** - Google's Gemma 2 model with instruction tuning
+- **llama-3.3-70b-versatile** - Meta's Llama 3.3 model for versatile applications
+
+To set up Groq with Goose, follow these steps:
+
+<Tabs groupId="interface">
+  <TabItem value="ui" label="Goose Desktop" default>
+  **To update your LLM provider and API key:** 
+
+    1. Click the <PanelLeft className="inline" size={16} /> button in the top-left to open the sidebar.
+    2. Click the `Settings` button on the sidebar.
+    3. Click the `Models` tab.
+    4. Click `Configure Providers`
+    5. Choose `Groq` as provider from the list.
+    6. Click `Configure`, enter your API key, and click `Submit`.
+
+  </TabItem>
+  <TabItem value="cli" label="Goose CLI">
+    1. Run: 
+    ```sh
+    goose configure
+    ```
+    2. Select `Configure Providers` from the menu.
+    3. Follow the prompts to choose `Groq` as the provider.
+    4. Enter your API key when prompted.
+    5. Enter the Groq model of your choice (e.g., `moonshotai/kimi-k2-instruct`).
+  </TabItem>
+</Tabs>
+
 ### Google Gemini
 Google Gemini provides a free tier. To start using the Gemini API with Goose, you need an API Key from [Google AI studio](https://aistudio.google.com/app/apikey).