diff --git a/tests/full_tests/ci_gsm8k_tests.sh b/tests/full_tests/ci_gsm8k_tests.sh
index 87604e502..822592629 100644
--- a/tests/full_tests/ci_gsm8k_tests.sh
+++ b/tests/full_tests/ci_gsm8k_tests.sh
@@ -265,6 +265,14 @@ run_qwen2_5_vl_unified_attn_test() {
     echo "✅ Test multimodal-support + unified attention with qwen2.5-vl-7b passed."
 }
 
+# Multimodal-support with qwen3-vl
+run_qwen3_vl_test() {
+    echo "➡️ Testing Qwen3-VL-32B..."
+    VLLM_SKIP_WARMUP=true VLLM_CONTIGUOUS_PA=False PT_HPU_LAZY_MODE=0 \
+    python -u "${VLLM_GAUDI_PREFIX}/tests/models/language/generation/generation_mm.py" --model-card-path "${VLLM_GAUDI_PREFIX}/tests/full_tests/model_cards/qwen3-vl-32b.yaml"
+    echo "✅ Test with multimodal-support with qwen3-vl-32b passed."
+}
+
 # Spec decode with ngram
 run_spec_decode_ngram_test() {
     echo "➡️ Testing Spec-decode with ngram..."
diff --git a/tests/full_tests/model_cards/qwen3-vl-32b.yaml b/tests/full_tests/model_cards/qwen3-vl-32b.yaml
new file mode 100644
index 000000000..8ba2a767b
--- /dev/null
+++ b/tests/full_tests/model_cards/qwen3-vl-32b.yaml
@@ -0,0 +1,15 @@
+model_name: "Qwen/Qwen3-VL-32B-Instruct-FP8"
+
+description: >
+  Qwen3-VL 32B Instruct model (FP8) validated for image
+  multimodal inference using vLLM built-in test assets.
+
+test_config:
+  - modality: image
+    extra_engine_args:
+      mm_processor_kwargs:
+        min_pixels: 784
+        max_pixels: 1003520
+    input_data_config:
+      num_prompts: 4
+      media_source: default