diff --git a/docs/my-website/docs/providers/gigachat.md b/docs/my-website/docs/providers/gigachat.md
index 13eec298c25..9b4bee80125 100644
--- a/docs/my-website/docs/providers/gigachat.md
+++ b/docs/my-website/docs/providers/gigachat.md
@@ -201,7 +201,7 @@ model_list:
       ssl_verify: false
   - model_name: gigachat-lite
     litellm_params:
-      model: gigachat/GigaChat-2-Lite
+      model: gigachat/GigaChat-2
       api_key: "os.environ/GIGACHAT_CREDENTIALS"
       ssl_verify: false
   - model_name: gigachat-embeddings
@@ -260,7 +260,7 @@ print(response)
 
 | Model Name | Context Window | Vision | Description |
 |------------|----------------|--------|-------------|
-| gigachat/GigaChat-2-Lite | 128K | No | Fast, lightweight model |
+| gigachat/GigaChat-2 | 128K | No | Fast, lightweight model |
 | gigachat/GigaChat-2-Pro | 128K | Yes | Professional model with vision |
 | gigachat/GigaChat-2-Max | 128K | Yes | Maximum capability model |
 
diff --git a/model_prices_and_context_window.json b/model_prices_and_context_window.json
index c624736d6bf..47e2a5eb0ab 100644
--- a/model_prices_and_context_window.json
+++ b/model_prices_and_context_window.json
@@ -16731,7 +16731,7 @@
         "supports_response_schema": true,
         "supports_vision": true
     },
-    "gigachat/GigaChat-2-Lite": {
+    "gigachat/GigaChat-2": {
         "input_cost_per_token": 0.0,
         "litellm_provider": "gigachat",
         "max_input_tokens": 128000,
@@ -16793,6 +16793,15 @@
         "output_cost_per_token": 0.0,
         "output_vector_size": 2560
     },
+    "gigachat/GigaEmbeddings-3B-2025-09": {
+        "input_cost_per_token": 0.0,
+        "litellm_provider": "gigachat",
+        "max_input_tokens": 4096,
+        "max_tokens": 4096,
+        "mode": "embedding",
+        "output_cost_per_token": 0.0,
+        "output_vector_size": 2048
+    },
     "gmi/anthropic/claude-opus-4.5": {
         "input_cost_per_token": 5e-06,
         "litellm_provider": "gmi",