diff --git a/README.md b/README.md
index f6002df..8552d06 100644
--- a/README.md
+++ b/README.md
@@ -116,6 +116,8 @@ Data is used for training when used outside of the UK/CH/EEA/EU.
 <table><thead><tr><th>Model Name</th><th>Model Limits</th></tr></thead><tbody>
 <tr><td>Gemini 2.5 Pro</td><td>3,000,000 tokens/day<br>125,000 tokens/minute<br>50 requests/day<br>2 requests/minute</td></tr>
 <tr><td>Gemini 2.5 Flash</td><td>250,000 tokens/minute<br>250 requests/day<br>10 requests/minute</td></tr>
+<tr><td>Gemini 2.5 Flash-Lite</td><td>250,000 tokens/minute<br>1,000 requests/day<br>15 requests/minute</td></tr>
+<tr><td>Gemini 2.5 Flash Image Preview (Nano Banana)</td><td></td></tr>
 <tr><td>Gemini 2.0 Flash</td><td>1,000,000 tokens/minute<br>200 requests/day<br>15 requests/minute</td></tr>
 <tr><td>Gemini 2.0 Flash-Lite</td><td>1,000,000 tokens/minute<br>200 requests/day<br>30 requests/minute</td></tr>
 <tr><td>Gemini 2.0 Flash (Experimental)</td><td>250,000 tokens/minute<br>50 requests/day<br>10 requests/minute</td></tr>
@@ -126,8 +128,6 @@ Data is used for training when used outside of the UK/CH/EEA/EU.
 <tr><td>Gemma 3 12B Instruct</td><td>15,000 tokens/minute<br>14,400 requests/day<br>30 requests/minute</td></tr>
 <tr><td>Gemma 3 4B Instruct</td><td>15,000 tokens/minute<br>14,400 requests/day<br>30 requests/minute</td></tr>
 <tr><td>Gemma 3 1B Instruct</td><td>15,000 tokens/minute<br>14,400 requests/day<br>30 requests/minute</td></tr>
-<tr><td>text-embedding-004</td><td rowspan="2">100 batch requests/minute<br>100 requests/minute<br>100 content/batch<br>Shared Quota</td></tr>
-<tr><td>embedding-001</td></tr>
 </tbody></table>
 
 ### [NVIDIA NIM](https://build.nvidia.com/explore/discover)
@@ -176,6 +176,7 @@ Routes to various supported providers.
 ### [Cerebras](https://cloud.cerebras.ai/)
 
 <table><thead><tr><th>Model Name</th><th>Model Limits</th></tr></thead><tbody>
+<tr><td>gpt-oss-120b</td><td>30 requests/minute<br>60,000 tokens/minute<br>900 requests/hour<br>1,000,000 tokens/hour<br>14,400 requests/day<br>1,000,000 tokens/day</td></tr>
 <tr><td>Qwen 3 235B A22B Instruct</td><td>30 requests/minute<br>60,000 tokens/minute<br>900 requests/hour<br>1,000,000 tokens/hour<br>14,400 requests/day<br>1,000,000 tokens/day</td></tr>
 <tr><td>Qwen 3 235B A22B Thinking</td><td>30 requests/minute<br>60,000 tokens/minute<br>900 requests/hour<br>1,000,000 tokens/hour<br>14,400 requests/day<br>1,000,000 tokens/day</td></tr>
 <tr><td>Qwen 3 Coder 480B</td><td>10 requests/minute<br>150,000 tokens/minute<br>100 requests/hour<br>1,000,000 tokens/hour<br>100 requests/day<br>1,000,000 tokens/day</td></tr>
@@ -214,7 +215,6 @@ Routes to various supported providers.
 
 **Limits:** Up to 60 requests/minute
 
-- [Llama 3.2 11B Vision Instruct](https://together.ai/models/llama-3-2-11b-free)
 - [Llama 3.3 70B Instruct](https://together.ai/models/llama-3-3-70b-free)
 - [DeepSeek R1 Distil Llama 70B](https://together.ai/models/deepseek-r1-distilled-llama-70b-free)
 
diff --git a/src/pull_available_models.py b/src/pull_available_models.py
index 9fc41bc..40f6730 100644
--- a/src/pull_available_models.py
+++ b/src/pull_available_models.py
@@ -449,19 +449,6 @@ def fetch_gemini_limits(logger):
                 models[dimension.dimensions.get("model")][
                     f"requests/{quota.refresh_interval}"
                 ] = dimension.details.value
-        elif quota.metric == "generativelanguage.googleapis.com/embed_text_requests":
-            for dimension in quota.dimensions_infos:
-                models["project-embedding"][f"requests/{quota.refresh_interval}"] = (
-                    dimension.details.value
-                )
-        elif (
-            quota.metric
-            == "generativelanguage.googleapis.com/batch_embed_text_requests"
-        ):
-            for dimension in quota.dimensions_infos:
-                models["project-embedding"][
-                    f"batch requests/{quota.refresh_interval}"
-                ] = dimension.details.value
     logger.debug(json.dumps(models, indent=4))
     return models
 
@@ -611,7 +598,6 @@ def main():
     hyperbolic_logger = create_logger("Hyperbolic")
     samba_logger = create_logger("SambaNova")
     scaleway_logger = create_logger("Scaleway")
-    chutes_logger = create_logger("Chutes")
 
     fetch_concurrently = os.getenv("FETCH_CONCURRENTLY", "false").lower() == "true"
 
@@ -682,6 +668,16 @@ def main():
             "name": "Gemini 2.5 Flash",
             "limits": gemini_models.get("gemini-2.5-flash", {}),
         },
+        {
+            "id": "gemini-2.5-flash-lite",
+            "name": "Gemini 2.5 Flash-Lite",
+            "limits": gemini_models.get("gemini-2.5-flash-lite", {}),
+        },
+        {
+            "id": "gemini-2.5-flash-image-preview",
+            "name": "Gemini 2.5 Flash Image Preview (Nano Banana)",
+            "limits": gemini_models.get("gemini-2.5-flash-image-preview", {}),
+        },
         {
             "id": "gemini-2.0-flash",
             "name": "Gemini 2.0 Flash",
@@ -733,18 +729,6 @@ def main():
             "limits": gemini_models.get("gemma-3-1b", {}),
         },
     ]
-    gemini_embedding_models = [
-        {
-            "id": "text-embedding-004",
-            "name": "text-embedding-004",
-            "limits": gemini_models.get("project-embedding", {}),
-        },
-        {
-            "id": "embedding-001",
-            "name": "embedding-001",
-            "limits": gemini_models.get("project-embedding", {}),
-        },
-    ]
 
     # Write text models to table
     for model in gemini_text_models:
@@ -753,16 +737,6 @@ def main():
             f"<tr><td>{model['name']}</td><td>{limits_str}</td></tr>\n"
         )
 
-    # Write embedding models to table
-    first_embedding = True
-    for model in gemini_embedding_models:
-        limits_str = get_human_limits(model)
-        model_list_markdown += f"<tr><td>{model['name']}</td>"
-        if first_embedding:
-            model_list_markdown += f'<td rowspan="{len(gemini_embedding_models)}">{limits_str}<br>100 content/batch<br>Shared Quota</td>'
-            first_embedding = False
-        model_list_markdown += "</tr>\n"
-
     model_list_markdown += "</tbody></table>\n\n"
 
     # --- NVIDIA NIM ---
@@ -815,6 +789,10 @@ def main():
     model_list_markdown += "### [Cerebras](https://cloud.cerebras.ai/)\n\n"
     model_list_markdown += "<table><thead><tr><th>Model Name</th><th>Model Limits</th></tr></thead><tbody>\n"
     cerebras_models = [
+        {
+            "name": "gpt-oss-120b",
+            "limits_text": "30 requests/minute<br>60,000 tokens/minute<br>900 requests/hour<br>1,000,000 tokens/hour<br>14,400 requests/day<br>1,000,000 tokens/day"
+        },
         {
             "name": "Qwen 3 235B A22B Instruct",
             "limits_text": "30 requests/minute<br>60,000 tokens/minute<br>900 requests/hour<br>1,000,000 tokens/hour<br>14,400 requests/day<br>1,000,000 tokens/day"
@@ -868,11 +846,6 @@ def main():
 
     # --- Together ---
     together_models = [
-        {
-            "id": "meta-llama/Llama-Vision-Free",
-            "name": "Llama 3.2 11B Vision Instruct",
-            "urlId": "llama-3-2-11b-free",
-        },
         {
             "id": "llmeta-llama/Llama-3.3-70B-Instruct-Turbo-Free",
             "name": "Llama 3.3 70B Instruct",