diff --git a/docs/my-website/docs/providers/mistral.md b/docs/my-website/docs/providers/mistral.md
index 62a91c687ae..b14206a711f 100644
--- a/docs/my-website/docs/providers/mistral.md
+++ b/docs/my-website/docs/providers/mistral.md
@@ -144,20 +144,22 @@ All models listed here https://docs.mistral.ai/platform/endpoints are supported.
 :::
 
 
-| Model Name     | Function Call                                                |
-|----------------|--------------------------------------------------------------|
-| Mistral Small  | `completion(model="mistral/mistral-small-latest", messages)` |
-| Mistral Medium | `completion(model="mistral/mistral-medium-latest", messages)`|
-| Mistral Large 2  | `completion(model="mistral/mistral-large-2407", messages)` |
-| Mistral Large Latest  | `completion(model="mistral/mistral-large-latest", messages)` |
-| Mistral 7B     | `completion(model="mistral/open-mistral-7b", messages)`      |
-| Mixtral 8x7B   | `completion(model="mistral/open-mixtral-8x7b", messages)`    |
-| Mixtral 8x22B  | `completion(model="mistral/open-mixtral-8x22b", messages)`   |
-| Codestral      | `completion(model="mistral/codestral-latest", messages)`     |
-| Mistral NeMo      | `completion(model="mistral/open-mistral-nemo", messages)`     |
-| Mistral NeMo 2407      | `completion(model="mistral/open-mistral-nemo-2407", messages)`     |
-| Codestral Mamba      | `completion(model="mistral/open-codestral-mamba", messages)`     |
-| Codestral Mamba    | `completion(model="mistral/codestral-mamba-latest"", messages)`     |
+| Model Name     | Function Call                                                | Reasoning Support |
+|----------------|--------------------------------------------------------------|-------------------|
+| Mistral Small  | `completion(model="mistral/mistral-small-latest", messages)` | ❌ |
+| Mistral Medium | `completion(model="mistral/mistral-medium-latest", messages)`| ❌ |
+| Mistral Large 2  | `completion(model="mistral/mistral-large-2407", messages)` | ❌ |
+| Mistral Large Latest  | `completion(model="mistral/mistral-large-latest", messages)` | ❌ |
+| **Magistral Small**  | `completion(model="mistral/magistral-small-2506", messages)` | ✅ |
+| **Magistral Medium** | `completion(model="mistral/magistral-medium-2506", messages)`| ✅ |
+| Mistral 7B     | `completion(model="mistral/open-mistral-7b", messages)`      | ❌ |
+| Mixtral 8x7B   | `completion(model="mistral/open-mixtral-8x7b", messages)`    | ❌ |
+| Mixtral 8x22B  | `completion(model="mistral/open-mixtral-8x22b", messages)`   | ❌ |
+| Codestral      | `completion(model="mistral/codestral-latest", messages)`     | ❌ |
+| Mistral NeMo      | `completion(model="mistral/open-mistral-nemo", messages)`     | ❌ |
+| Mistral NeMo 2407      | `completion(model="mistral/open-mistral-nemo-2407", messages)`     | ❌ |
+| Codestral Mamba      | `completion(model="mistral/open-codestral-mamba", messages)`     | ❌ |
+| Codestral Mamba    | `completion(model="mistral/codestral-mamba-latest"", messages)`     | ❌ |
 
 ## Function Calling 
 
@@ -203,6 +205,110 @@ assert isinstance(
 )
 ```
 
+## Reasoning Capabilities (Magistral Models)
+
+Mistral's Magistral models support advanced reasoning capabilities that allow the model to think step-by-step before providing answers. LiteLLM provides seamless integration with these reasoning features through OpenAI-compatible parameters.
+
+### Supported Magistral Models
+
+| Model Name     | Function Call                                                |
+|----------------|--------------------------------------------------------------|
+| Magistral Small  | `completion(model="mistral/magistral-small-2506", messages)` |
+| Magistral Medium | `completion(model="mistral/magistral-medium-2506", messages)`|
+
+### Using Reasoning Effort
+
+The `reasoning_effort` parameter controls how much effort the model puts into reasoning. When used with magistral models.
+
+```python
+from litellm import completion
+import os
+
+os.environ['MISTRAL_API_KEY'] = "your-api-key"
+
+response = completion(
+    model="mistral/magistral-medium-2506",
+    messages=[
+        {"role": "user", "content": "What is 15 multiplied by 7?"}
+    ],
+    reasoning_effort="medium"  # Options: "low", "medium", "high"
+)
+
+print(response)
+```
+
+### Example with System Message
+
+If you already have a system message, LiteLLM will prepend the reasoning instructions:
+
+```python
+response = completion(
+    model="mistral/magistral-medium-2506",
+    messages=[
+        {"role": "system", "content": "You are a helpful math tutor."},
+        {"role": "user", "content": "Explain how to solve quadratic equations."}
+    ],
+    reasoning_effort="high"
+)
+
+# The system message becomes:
+# "When solving problems, think step-by-step in <think> tags before providing your final answer...
+#  
+#  You are a helpful math tutor."
+```
+
+### Usage with LiteLLM Proxy
+
+You can also use reasoning capabilities through the LiteLLM proxy:
+
+<Tabs>
+<TabItem value="Curl" label="Curl Request">
+
+```shell
+curl --location 'http://0.0.0.0:4000/chat/completions' \
+--header 'Content-Type: application/json' \
+--data '{
+      "model": "magistral-medium-2506",
+      "messages": [
+        {
+          "role": "user",
+          "content": "What is the square root of 144? Show your reasoning."
+        }
+      ],
+      "reasoning_effort": "medium"
+    }'
+```
+</TabItem>
+<TabItem value="openai" label="OpenAI v1.0.0+">
+
+```python
+import openai
+client = openai.OpenAI(
+    api_key="anything",
+    base_url="http://0.0.0.0:4000"
+)
+
+response = client.chat.completions.create(
+    model="magistral-medium-2506", 
+    messages=[
+        {
+            "role": "user",
+            "content": "Calculate the area of a circle with radius 5. Show your work."
+        }
+    ],
+    reasoning_effort="high"
+)
+
+print(response)
+```
+</TabItem>
+</Tabs>
+
+### Important Notes
+
+- **Model Compatibility**: Reasoning parameters only work with magistral models
+- **Backward Compatibility**: Non-magistral models will ignore reasoning parameters and work normally
+
 ## Sample Usage - Embedding
 ```python
 from litellm import embedding
diff --git a/docs/my-website/docs/reasoning_content.md b/docs/my-website/docs/reasoning_content.md
index 7576e34ee35..fb3640fdc11 100644
--- a/docs/my-website/docs/reasoning_content.md
+++ b/docs/my-website/docs/reasoning_content.md
@@ -19,6 +19,7 @@ Supported Providers:
 - Google AI Studio (`google/`)
 - Vertex AI (`vertex_ai/`)
 - Perplexity (`perplexity/`)
+- Mistral AI (Magistral models) (`mistral/`)
 
 LiteLLM will standardize the `reasoning_content` in the response and `thinking_blocks` in the assistant message.
 
@@ -39,7 +40,7 @@ LiteLLM will standardize the `reasoning_content` in the response and `thinking_b
 ## Quick Start 
 
 <Tabs>
-<TabItem value="sdk" label="SDK">
+<TabItem value="anthropic" label="Anthropic">
 
 ```python showLineNumbers
 from litellm import completion
@@ -57,6 +58,25 @@ response = completion(
 print(response.choices[0].message.content)
 ```
 
+</TabItem>
+<TabItem value="mistral" label="Mistral">
+
+```python showLineNumbers
+from litellm import completion
+import os 
+
+os.environ["MISTRAL_API_KEY"] = ""
+
+response = completion(
+  model="mistral/magistral-medium-2506",
+  messages=[
+    {"role": "user", "content": "What is 15 multiplied by 7? Show your reasoning."},
+  ],
+  reasoning_effort="medium", 
+)
+print(response.choices[0].message.content)
+```
+
 </TabItem>
 <TabItem value="proxy" label="PROXY">