diff --git a/crates/cloud_llm_client/src/cloud_llm_client.rs b/crates/cloud_llm_client/src/cloud_llm_client.rs
index 121558c379abdc164ae4a4a6e57f0aa2b50fa691..882239716676857cfbf65ea9920530591655d819 100644
--- a/crates/cloud_llm_client/src/cloud_llm_client.rs
+++ b/crates/cloud_llm_client/src/cloud_llm_client.rs
@@ -297,6 +297,7 @@ pub struct LanguageModel {
     pub supports_tools: bool,
     pub supports_images: bool,
     pub supports_thinking: bool,
+    pub supported_effort_levels: Vec<SupportedEffortLevel>,
     #[serde(default)]
     pub supports_streaming_tools: bool,
     /// Only used by OpenAI and xAI.
@@ -304,6 +305,12 @@ pub struct LanguageModel {
     pub supports_parallel_tool_calls: bool,
 }
 
+#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]
+pub struct SupportedEffortLevel {
+    pub name: Arc<str>,
+    pub value: Arc<str>,
+}
+
 #[derive(Debug, Serialize, Deserialize)]
 pub struct ListModelsResponse {
     pub models: Vec<LanguageModel>,
diff --git a/crates/language_model/src/language_model.rs b/crates/language_model/src/language_model.rs
index eac4db09d4c6dd96901cadcdde9bbe881e95d50f..49b4ee83828761629ad6c2531449d55c874d6f18 100644
--- a/crates/language_model/src/language_model.rs
+++ b/crates/language_model/src/language_model.rs
@@ -573,6 +573,12 @@ impl Default for LanguageModelTextStream {
     }
 }
 
+#[derive(Debug, Clone)]
+pub struct LanguageModelEffortLevel {
+    pub name: SharedString,
+    pub value: SharedString,
+}
+
 pub trait LanguageModel: Send + Sync {
     fn id(&self) -> LanguageModelId;
     fn name(&self) -> LanguageModelName;
@@ -591,11 +597,16 @@ pub trait LanguageModel: Send + Sync {
         None
     }
 
-    /// Whether this model supports extended thinking.
+    /// Whether this model supports thinking.
     fn supports_thinking(&self) -> bool {
         false
     }
 
+    /// Returns the list of supported effort levels that can be used when thinking.
+    fn supported_effort_levels(&self) -> Vec<LanguageModelEffortLevel> {
+        Vec::new()
+    }
+
     /// Whether this model supports images
     fn supports_images(&self) -> bool;
 
diff --git a/crates/language_models/src/provider/cloud.rs b/crates/language_models/src/provider/cloud.rs
index 8f627573e5abf1ef75a83e4719ddd253bd831e29..869c6e765bfd771de463c0182d436aeccd87e56e 100644
--- a/crates/language_models/src/provider/cloud.rs
+++ b/crates/language_models/src/provider/cloud.rs
@@ -19,11 +19,11 @@ use http_client::http::{HeaderMap, HeaderValue};
 use http_client::{AsyncBody, HttpClient, HttpRequestExt, Method, Response, StatusCode};
 use language_model::{
     AuthenticateError, IconOrSvg, LanguageModel, LanguageModelCacheConfiguration,
-    LanguageModelCompletionError, LanguageModelCompletionEvent, LanguageModelId, LanguageModelName,
-    LanguageModelProvider, LanguageModelProviderId, LanguageModelProviderName,
-    LanguageModelProviderState, LanguageModelRequest, LanguageModelToolChoice,
-    LanguageModelToolSchemaFormat, LlmApiToken, NeedsLlmTokenRefresh, PaymentRequiredError,
-    RateLimiter, RefreshLlmTokenListener,
+    LanguageModelCompletionError, LanguageModelCompletionEvent, LanguageModelEffortLevel,
+    LanguageModelId, LanguageModelName, LanguageModelProvider, LanguageModelProviderId,
+    LanguageModelProviderName, LanguageModelProviderState, LanguageModelRequest,
+    LanguageModelToolChoice, LanguageModelToolSchemaFormat, LlmApiToken, NeedsLlmTokenRefresh,
+    PaymentRequiredError, RateLimiter, RefreshLlmTokenListener,
 };
 use release_channel::AppVersion;
 use schemars::JsonSchema;
@@ -577,6 +577,17 @@ impl LanguageModel for CloudLanguageModel {
         self.model.supports_thinking
     }
 
+    fn supported_effort_levels(&self) -> Vec<LanguageModelEffortLevel> {
+        self.model
+            .supported_effort_levels
+            .iter()
+            .map(|effort_level| LanguageModelEffortLevel {
+                name: effort_level.name.clone().into(),
+                value: effort_level.value.clone().into(),
+            })
+            .collect()
+    }
+
     fn supports_streaming_tools(&self) -> bool {
         self.model.supports_streaming_tools
     }