diff --git a/g4f/Provider/GradientNetwork.py b/g4f/Provider/GradientNetwork.py
new file mode 100644
index 00000000..b9286d0b
--- /dev/null
+++ b/g4f/Provider/GradientNetwork.py
@@ -0,0 +1,131 @@
+from __future__ import annotations
+
+import json
+
+from aiohttp import ClientSession
+
+from ..typing import AsyncResult, Messages
+from ..providers.response import Reasoning
+from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
+
+
+class GradientNetwork(AsyncGeneratorProvider, ProviderModelMixin):
+    """
+    Provider for chat.gradient.network
+    Supports streaming text generation with various Qwen models.
+    """
+    label = "Gradient Network"
+    url = "https://chat.gradient.network"
+    api_endpoint = "https://chat.gradient.network/api/generate"
+
+    working = True
+    needs_auth = False
+    supports_stream = True
+    supports_system_message = True
+    supports_message_history = True
+
+    default_model = "qwen3-235b"
+    models = [
+        default_model,
+        "qwen3-32b",
+        "deepseek-r1-0528",
+        "deepseek-v3-0324",
+        "llama-4-maverick",
+    ]
+    model_aliases = {
+        "qwen-3-235b": "qwen3-235b",
+        "deepseek-r1": "deepseek-r1-0528",
+        "deepseek-v3": "deepseek-v3-0324",
+    }
+
+    @classmethod
+    async def create_async_generator(
+        cls,
+        model: str,
+        messages: Messages,
+        proxy: str = None,
+        temperature: float = None,
+        max_tokens: int = None,
+        enable_thinking: bool = False,
+        **kwargs
+    ) -> AsyncResult:
+        """
+        Create an async generator for streaming chat responses.
+
+        Args:
+            model: The model name to use
+            messages: List of message dictionaries
+            proxy: Optional proxy URL
+            temperature: Optional temperature parameter
+            max_tokens: Optional max tokens parameter
+            enable_thinking: Enable the thinking/analysis channel
+            **kwargs: Additional arguments
+
+        Yields:
+            str: Content chunks from the response
+            Reasoning: Thinking content when enable_thinking is True
+        """
+        model = cls.get_model(model)
+
+        headers = {
+            "Accept": "application/x-ndjson",
+            "Content-Type": "application/json",
+            "User-Agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/131.0.0.0 Safari/537.36",
+            "Origin": cls.url,
+            "Referer": f"{cls.url}/",
+        }
+
+        payload = {
+            "model": model,
+            "messages": messages,
+        }
+
+        if temperature is not None:
+            payload["temperature"] = temperature
+        if max_tokens is not None:
+            payload["max_tokens"] = max_tokens
+        if enable_thinking:
+            payload["enableThinking"] = True
+
+        async with ClientSession(headers=headers) as session:
+            async with session.post(
+                cls.api_endpoint,
+                json=payload,
+                proxy=proxy
+            ) as response:
+                response.raise_for_status()
+
+                async for line_bytes in response.content:
+                    if not line_bytes:
+                        continue
+
+                    line = line_bytes.decode("utf-8").strip()
+                    if not line:
+                        continue
+
+                    try:
+                        data = json.loads(line)
+                        msg_type = data.get("type")
+
+                        if msg_type == "text":
+                            # Regular text content
+                            content = data.get("data")
+                            if content:
+                                yield content
+
+                        elif msg_type == "thinking":
+                            # Thinking/reasoning content
+                            content = data.get("data")
+                            if content:
+                                yield Reasoning(content)
+
+                        elif msg_type == "done":
+                            # Stream complete
+                            break
+
+                        # Ignore clusterInfo and blockUpdate messages
+                        # as they are for GPU cluster visualization only
+
+                    except json.JSONDecodeError:
+                        # Skip non-JSON lines
+                        continue
diff --git a/g4f/Provider/__init__.py b/g4f/Provider/__init__.py
index 826ac4c4..ea51e380 100644
--- a/g4f/Provider/__init__.py
+++ b/g4f/Provider/__init__.py
@@ -48,6 +48,7 @@ from .Copilot              import Copilot
 from .DeepInfra            import DeepInfra
 from .EasyChat             import EasyChat
 from .GLM                  import GLM
+from .GradientNetwork      import GradientNetwork
 from .LambdaChat           import LambdaChat
 from .Mintlify             import Mintlify
 from .OIVSCodeSer          import OIVSCodeSer2, OIVSCodeSer0501