diff --git a/.github/workflows/weekly-tests.yml b/.github/workflows/weekly-tests.yml
new file mode 100644
index 00000000..f84900b4
--- /dev/null
+++ b/.github/workflows/weekly-tests.yml
@@ -0,0 +1,41 @@
+name: Weekly tests
+
+# PR runs test one representative model per family, scheduled and manual runs test every model,
+# see is_manual_run in tests/utils.py
+on:
+  schedule:
+    - cron: '5 9 * * 1' # Mondays, 09:05 UTC
+  workflow_dispatch:
+
+permissions:
+  contents: read
+
+jobs:
+  test:
+
+    # linux runners have 16 GB of RAM, enough for every model tested in ci (colpali is skipped in ci,
+    # gpu tests are skipped everywhere)
+    runs-on: ubuntu-latest
+    timeout-minutes: 180
+
+    name: Python 3.14 weekly test
+
+    steps:
+      - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
+        with:
+          persist-credentials: false
+      - name: Set up Python
+        uses: actions/setup-python@5fda3b95a4ea91299a34e894583c3862153e4b97 # v7.0.0
+        with:
+          python-version: '3.14.x'
+      - name: Install dependencies
+        run: |
+          python -m pip install poetry
+          poetry config virtualenvs.create false
+          poetry install --no-interaction --no-ansi --without dev,docs
+
+      - name: Run pytest
+        env:
+          HF_TOKEN: ${{ secrets.HF_TOKEN }}
+        run: |
+          poetry run pytest --durations=20
diff --git a/tests/test_image_onnx_embeddings.py b/tests/test_image_onnx_embeddings.py
index 7774055b..2e528811 100644
--- a/tests/test_image_onnx_embeddings.py
+++ b/tests/test_image_onnx_embeddings.py
@@ -10,7 +10,7 @@
 
 from fastembed import ImageEmbedding
 from tests.config import TEST_MISC_DIR
-from tests.utils import delete_model_cache, should_test_model
+from tests.utils import delete_model_cache, is_manual_run, should_test_model
 
 CANONICAL_VECTOR_VALUES = {
     "Qdrant/clip-ViT-B-32-vision": np.array([-0.0098, 0.0128, -0.0274, 0.002, -0.0059]),
@@ -70,7 +70,7 @@ def get_model(model_name: str):
 def test_embedding(model_cache, model_name: str) -> None:
     is_ci = os.getenv("CI")
     is_mac = platform.system() == "Darwin"
-    is_manual = os.getenv("GITHUB_EVENT_NAME") == "workflow_dispatch"
+    is_manual = is_manual_run()
 
     for model_desc in ImageEmbedding._list_supported_models():
         # quantized int8 ops diverge on macOS; canonical vector is generated on linux/amd64 (CI)
diff --git a/tests/test_late_interaction_embeddings.py b/tests/test_late_interaction_embeddings.py
index 0e433fce..a9863aa7 100644
--- a/tests/test_late_interaction_embeddings.py
+++ b/tests/test_late_interaction_embeddings.py
@@ -7,7 +7,7 @@
 from fastembed.late_interaction.late_interaction_text_embedding import (
     LateInteractionTextEmbedding,
 )
-from tests.utils import delete_model_cache, should_test_model
+from tests.utils import delete_model_cache, is_manual_run, should_test_model
 
 # vectors are abridged and rounded for brevity
 CANONICAL_COLUMN_VALUES = {
@@ -211,7 +211,7 @@ def test_batch_inference_size_same_as_single_inference(model_cache, model_name:
 @pytest.mark.parametrize("model_name", ["answerdotai/answerai-colbert-small-v1"])
 def test_single_embedding(model_cache, model_name: str):
     is_ci = os.getenv("CI")
-    is_manual = os.getenv("GITHUB_EVENT_NAME") == "workflow_dispatch"
+    is_manual = is_manual_run()
     docs_to_embed = docs
 
     for model_desc in LateInteractionTextEmbedding._list_supported_models():
@@ -231,7 +231,7 @@ def test_single_embedding(model_cache, model_name: str):
 @pytest.mark.parametrize("model_name", ["answerdotai/answerai-colbert-small-v1"])
 def test_single_embedding_query(model_cache, model_name: str):
     is_ci = os.getenv("CI")
-    is_manual = os.getenv("GITHUB_EVENT_NAME") == "workflow_dispatch"
+    is_manual = is_manual_run()
     queries_to_embed = docs
 
     for model_desc in LateInteractionTextEmbedding._list_supported_models():
diff --git a/tests/test_sparse_embeddings.py b/tests/test_sparse_embeddings.py
index 1a0e2df6..3aafbe32 100644
--- a/tests/test_sparse_embeddings.py
+++ b/tests/test_sparse_embeddings.py
@@ -6,7 +6,7 @@
 
 from fastembed.sparse.bm25 import Bm25
 from fastembed.sparse.sparse_text_embedding import SparseTextEmbedding
-from tests.utils import delete_model_cache, should_test_model
+from tests.utils import delete_model_cache, is_manual_run, should_test_model
 
 
 CANONICAL_COLUMN_VALUES = {
@@ -175,7 +175,7 @@ def test_batch_embedding(model_cache, model_name: str) -> None:
 
 def test_single_embedding(model_cache) -> None:
     is_ci = os.getenv("CI")
-    is_manual = os.getenv("GITHUB_EVENT_NAME") == "workflow_dispatch"
+    is_manual = is_manual_run()
 
     for model_desc in SparseTextEmbedding._list_supported_models():
         if (
diff --git a/tests/test_text_cross_encoder.py b/tests/test_text_cross_encoder.py
index a29fe9d1..85988ca8 100644
--- a/tests/test_text_cross_encoder.py
+++ b/tests/test_text_cross_encoder.py
@@ -5,7 +5,7 @@
 import pytest
 
 from fastembed.rerank.cross_encoder import TextCrossEncoder
-from tests.utils import delete_model_cache, should_test_model
+from tests.utils import delete_model_cache, is_manual_run, should_test_model
 
 CANONICAL_SCORE_VALUES = {
     "Xenova/ms-marco-MiniLM-L-6-v2": np.array([8.500708, -2.541011]),
@@ -54,7 +54,7 @@ def get_model(model_name: str):
 @pytest.mark.parametrize("model_name", ["Xenova/ms-marco-MiniLM-L-6-v2"])
 def test_rerank(model_cache, model_name: str) -> None:
     is_ci = os.getenv("CI")
-    is_manual = os.getenv("GITHUB_EVENT_NAME") == "workflow_dispatch"
+    is_manual = is_manual_run()
 
     for model_desc in TextCrossEncoder._list_supported_models():
         if not should_test_model(model_desc, model_name, is_ci, is_manual):
diff --git a/tests/test_text_multitask_embeddings.py b/tests/test_text_multitask_embeddings.py
index 886a7125..fa12c24e 100644
--- a/tests/test_text_multitask_embeddings.py
+++ b/tests/test_text_multitask_embeddings.py
@@ -5,7 +5,7 @@
 
 from fastembed import TextEmbedding
 from fastembed.text.multitask_embedding import JinaEmbeddingV3, Task
-from tests.utils import delete_model_cache
+from tests.utils import delete_model_cache, is_manual_run
 
 
 CANONICAL_VECTOR_VALUES = {
@@ -63,7 +63,7 @@
 @pytest.mark.parametrize("dim,model_name", [(1024, "jinaai/jina-embeddings-v3")])
 def test_batch_embedding(dim: int, model_name: str):
     is_ci = os.getenv("CI")
-    is_manual = os.getenv("GITHUB_EVENT_NAME") == "workflow_dispatch"
+    is_manual = is_manual_run()
     if is_ci and not is_manual:
         pytest.skip("Skipping multitask models in CI non-manual mode")
 
@@ -88,7 +88,7 @@ def test_batch_embedding(dim: int, model_name: str):
 
 def test_single_embedding():
     is_ci = os.getenv("CI")
-    is_manual = os.getenv("GITHUB_EVENT_NAME") == "workflow_dispatch"
+    is_manual = is_manual_run()
     if is_ci and not is_manual:
         pytest.skip("Skipping multitask models in CI non-manual mode")
 
@@ -134,7 +134,7 @@ def test_single_embedding():
 
 def test_single_embedding_query():
     is_ci = os.getenv("CI")
-    is_manual = os.getenv("GITHUB_EVENT_NAME") == "workflow_dispatch"
+    is_manual = is_manual_run()
     if is_ci and not is_manual:
         pytest.skip("Skipping multitask models in CI non-manual mode")
 
@@ -165,7 +165,7 @@ def test_single_embedding_query():
 
 def test_single_embedding_passage():
     is_ci = os.getenv("CI")
-    is_manual = os.getenv("GITHUB_EVENT_NAME") == "workflow_dispatch"
+    is_manual = is_manual_run()
     if is_ci and not is_manual:
         pytest.skip("Skipping multitask models in CI non-manual mode")
 
@@ -198,7 +198,7 @@ def test_single_embedding_passage():
 @pytest.mark.parametrize("dim,model_name", [(1024, "jinaai/jina-embeddings-v3")])
 def test_parallel_processing(dim: int, model_name: str):
     is_ci = os.getenv("CI")
-    is_manual = os.getenv("GITHUB_EVENT_NAME") == "workflow_dispatch"
+    is_manual = is_manual_run()
     if is_ci and not is_manual:
         pytest.skip("Skipping in CI non-manual mode")
 
@@ -226,7 +226,7 @@ def test_parallel_processing(dim: int, model_name: str):
 @pytest.mark.parametrize("model_name", ["jinaai/jina-embeddings-v3"])
 def test_lazy_load(model_name: str):
     is_ci = os.getenv("CI")
-    is_manual = os.getenv("GITHUB_EVENT_NAME") == "workflow_dispatch"
+    is_manual = is_manual_run()
 
     if is_ci and not is_manual:
         pytest.skip("Skipping in CI non-manual mode")
diff --git a/tests/test_text_onnx_embeddings.py b/tests/test_text_onnx_embeddings.py
index 5110a300..632bb70c 100644
--- a/tests/test_text_onnx_embeddings.py
+++ b/tests/test_text_onnx_embeddings.py
@@ -10,7 +10,7 @@
 from fastembed.text.last_token_normalized_embedding import LastTokenNormalizedEmbedding
 from fastembed.text.onnx_embedding import OnnxTextEmbedding
 from fastembed.text.text_embedding import TextEmbedding
-from tests.utils import delete_model_cache, should_test_model
+from tests.utils import delete_model_cache, is_manual_run, should_test_model
 
 CANONICAL_VECTOR_VALUES = {
     "BAAI/bge-small-en": np.array([-0.0232, -0.0255, 0.0174, -0.0639, -0.0006]),
@@ -166,7 +166,7 @@ def get_model(model_name: str):
 def test_embedding(model_cache, model_name: str) -> None:
     is_ci = os.getenv("CI")
     is_mac = platform.system() == "Darwin"
-    is_manual = os.getenv("GITHUB_EVENT_NAME") == "workflow_dispatch"
+    is_manual = is_manual_run()
 
     for model_desc in TextEmbedding._list_supported_models():
         if model_desc.model in MULTI_TASK_MODELS or (
@@ -196,7 +196,7 @@ def test_embedding(model_cache, model_name: str) -> None:
 def test_query_embedding(model_cache) -> None:
     is_ci = os.getenv("CI")
     is_mac = platform.system() == "Darwin"
-    is_manual = os.getenv("GITHUB_EVENT_NAME") == "workflow_dispatch"
+    is_manual = is_manual_run()
 
     for model_desc in TextEmbedding._list_supported_models():
         if model_desc.model in MULTI_TASK_MODELS or (
diff --git a/tests/utils.py b/tests/utils.py
index 481c0504..181c3a0f 100644
--- a/tests/utils.py
+++ b/tests/utils.py
@@ -1,3 +1,4 @@
+import os
 import shutil
 import traceback
 
@@ -39,6 +40,11 @@ def on_error(
         shutil.rmtree(model_dir, onerror=on_error)
 
 
+def is_manual_run() -> bool:
+    """Whether ci runs the heavyweight tests: on a manual dispatch or on the weekly schedule"""
+    return os.getenv("GITHUB_EVENT_NAME") in ("workflow_dispatch", "schedule")
+
+
 def should_test_model(
     model_desc: BaseModelDescription,
     autotest_model_name: str,
@@ -55,6 +61,7 @@ def should_test_model(
     2) Run heavyweight (manual) tests in ci:
         - test all models
         Running tests in ci each time is too expensive, however, it's fine to run it one time with a manual dispatch
+        or weekly on a schedule
     3) Run tests locally:
         - test all models, which are not too heavy, since network speed might be a bottleneck