diff --git a/x-pack/plugin/src/yamlRestTest/resources/rest-api-spec/test/ml/sparse_vector_search.yml b/x-pack/plugin/src/yamlRestTest/resources/rest-api-spec/test/ml/sparse_vector_search.yml
index 7ac9d74d6001f..4f221b5bb36e8 100644
--- a/x-pack/plugin/src/yamlRestTest/resources/rest-api-spec/test/ml/sparse_vector_search.yml
+++ b/x-pack/plugin/src/yamlRestTest/resources/rest-api-spec/test/ml/sparse_vector_search.yml
@@ -97,7 +97,48 @@ setup:
         wait_for: started
 
 ---
-"Test sparse vector search":
+Test that sparse vector search requires a model ID and vector dimensions:
+  - do:
+      catch: /\[sparse_vector\] requires one of \[model_id\], or \[vector_dimensions\]/
+      search:
+        index: index-with-sparse-vector
+        body:
+          query:
+            sparse_vector:
+              ml.tokens:
+                model_text: "the octopus comforter smells"
+
+---
+Test that sparse vector search will not allow both a model ID and vector dimensions:
+  - do:
+      catch: /\[sparse_vector\] requires one of \[model_id\], or \[vector_dimensions\]/
+      search:
+        index: index-with-sparse-vector
+        body:
+          query:
+            sparse_vector:
+              ml.tokens:
+                model_id: my_sparse_vector_model
+                vector_dimensions:
+                  the: 1
+                  comforter: 1
+                  smells: 1
+                  bad: 1
+
+---
+"Test that sparse vector search requires model text if model id is specified":
+  - do:
+      catch: /\[sparse_vector\] requires \[model_text\] when \[model_id\] is specified/
+      search:
+        index: index-with-sparse-vector
+        body:
+          query:
+            sparse_vector:
+              ml.tokens:
+                model_id: my_sparse_vector_model
+
+---
+"Test sparse vector search with a model ID":
   - do:
       search:
         index: index-with-sparse-vector
@@ -111,7 +152,24 @@ setup:
   - match: { hits.hits.0._source.source_text: "the octopus comforter smells" }
 
 ---
-"Test sparse vector search with pruning config":
+"Test sparse vector search with vector dimensions":
+  - do:
+      search:
+        index: index-with-sparse-vector
+        body:
+          query:
+            sparse_vector:
+              ml.tokens:
+                vector_dimensions:
+                  the: 1.0
+                  comforter: 1.0
+                  smells: 1.0
+                  bad: 1.0
+  - match: { hits.total.value: 5 }
+  - match: { hits.hits.0._source.source_text: "the octopus comforter smells" }
+
+---
+"Test sparse vector search with a model ID and pruning config":
   - do:
       search:
         index: index-with-sparse-vector
@@ -127,6 +185,26 @@ setup:
   - match: { hits.total.value: 4 }
   - match: { hits.hits.0._source.source_text: "the octopus comforter smells" }
 
+---
+"Test sparse vector search with vector dimensions and pruning config":
+  - do:
+      search:
+        index: index-with-sparse-vector
+        body:
+          query:
+            sparse_vector:
+              ml.tokens:
+                vector_dimensions:
+                  the: 1.0
+                  comforter: 1.0
+                  smells: 1.0
+                  bad: 1.0
+                pruning_config:
+                  tokens_freq_ratio_threshold: 4
+                  tokens_weight_threshold: 0.4
+  - match: { hits.total.value: 5 }
+  - match: { hits.hits.0._source.source_text: "the octopus comforter smells" }
+
 ---
 "Test named, boosted sparse vector search with pruning config":
   - do:
@@ -165,7 +243,7 @@ setup:
   - match: { hits.hits.0._score: 300.0 }
 
 ---
-"Test sparse vector search with default pruning config":
+"Test sparse vector search with a model ID and default pruning config":
   - do:
       search:
         index: index-with-sparse-vector
@@ -180,7 +258,25 @@ setup:
   - match: { hits.hits.0._source.source_text: "the octopus comforter smells" }
 
 ---
-"Test sparse vector search with weighted tokens rescoring only pruned tokens":
+"Test sparse vector search with vector dimensions and default pruning config":
+  - do:
+      search:
+        index: index-with-sparse-vector
+        body:
+          query:
+            sparse_vector:
+              ml.tokens:
+                vector_dimensions:
+                  the: 1.0
+                  comforter: 1.0
+                  smells: 1.0
+                  bad: 1.0
+                pruning_config: {}
+  - match: { hits.total.value: 4 }
+  - match: { hits.hits.0._source.source_text: "the octopus comforter smells" }
+
+---
+"Test sparse vector search with model ID rescoring only pruned tokens":
   - do:
       search:
         index: index-with-sparse-vector
@@ -196,6 +292,26 @@ setup:
                   only_score_pruned_tokens: true
   - match: { hits.total.value: 0 }
 
+---
+"Test sparse vector search with vector dimensions rescoring only pruned tokens":
+  - do:
+      search:
+        index: index-with-sparse-vector
+        body:
+          query:
+            sparse_vector:
+              ml.tokens:
+                vector_dimensions:
+                  the: 1.0
+                  comforter: 1.0
+                  smells: 1.0
+                  bad: 1.0
+                pruning_config:
+                  tokens_freq_ratio_threshold: 4
+                  tokens_weight_threshold: 0.4
+                  only_score_pruned_tokens: true
+  - match: { hits.total.value: 0 }
+
 ---
 "Test that sparse vector queries return error for invalid queried field type":
   - do: