diff --git a/.github/workflows/nightly-test-amd-rocm720.yml b/.github/workflows/nightly-test-amd-rocm720.yml
index fcd3da890..56df8ac26 100644
--- a/.github/workflows/nightly-test-amd-rocm720.yml
+++ b/.github/workflows/nightly-test-amd-rocm720.yml
@@ -82,6 +82,8 @@ on:
           - nightly-8-gpu-mi35x-glm51-rocm720
           # 8-GPU GLM-5-MXFP4 (MI35x only)
           - nightly-8-gpu-mi35x-glm5-mxfp4-rocm720
+          # 4-GPU MiniMax-M2.5 (MI35x)
+          - nightly-4-gpu-mi35x-minimax-m25-rocm720
           # 8-GPU MiniMax-M2.7 (MI30x only)
           - nightly-8-gpu-minimax-m27-rocm720
           # Diffusion (MI30x)
@@ -1681,6 +1683,44 @@ jobs:
           echo "$(<github_summary.md )" >> $GITHUB_STEP_SUMMARY || true
           exit ${TEST_EXIT_CODE:-0}
 
+  # ==============================================================================
+  # 4-GPU MiniMax-M2.5 (MI35x)
+  # ==============================================================================
+
+  nightly-4-gpu-mi35x-minimax-m25-rocm720:
+    if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (!(inputs.job_filter || inputs.job_select) || (inputs.job_filter || inputs.job_select) == 'all' || contains(format(',{0},', inputs.job_filter || inputs.job_select), ',nightly-4-gpu-mi35x-minimax-m25-rocm720,'))
+    runs-on: linux-mi35x-gpu-8
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v4
+        with:
+          ref: ${{ inputs.ref || github.sha }}
+
+      - name: Ensure VRAM is clear
+        run: bash scripts/ci/amd/ensure_vram_clear.sh rocm
+
+      - name: Setup docker (ROCm 7.2)
+        run: |
+          touch github_summary.md
+          bash scripts/ci/amd/amd_ci_start_container.sh --rocm-version rocm720
+        env:
+          GITHUB_WORKSPACE: ${{ github.workspace }}
+
+      - name: Install dependencies
+        run: bash scripts/ci/amd/amd_ci_install_dependency.sh --skip-test-time-deps
+
+      - name: Accuracy Test MI35x ROCm 7.2 (4-GPU MiniMax-M2.5)
+        timeout-minutes: 120
+        run: |
+          > github_summary.md
+          bash scripts/ci/amd/amd_ci_exec.sh -w /sglang-checkout/test \
+            -e SGLANG_USE_AITER=1 \
+            -e SGLANG_USE_AITER_UNIFIED_ATTN=1 \
+            -e GITHUB_STEP_SUMMARY="/sglang-checkout/github_summary.md" \
+            python3 run_suite.py --hw amd --suite nightly-amd-4-gpu-mi35x-minimax-m25-tp4 --nightly --timeout-per-file 5400 ${{ (github.event_name == 'schedule' || inputs.continue_on_error) && '--continue-on-error' || '' }} || TEST_EXIT_CODE=$?
+          echo "$(<github_summary.md )" >> $GITHUB_STEP_SUMMARY || true
+          exit ${TEST_EXIT_CODE:-0}
+
   # ==============================================================================
   # 8-GPU MiniMax-M2.7 (MI30x only)
   # ==============================================================================
@@ -1831,6 +1871,8 @@ jobs:
       - nightly-8-gpu-mi35x-glm51-rocm720
       # 8-GPU GLM-5-MXFP4 (MI35x only)
       - nightly-8-gpu-mi35x-glm5-mxfp4-rocm720
+      # 4-GPU MiniMax-M2.5 (MI35x)
+      - nightly-4-gpu-mi35x-minimax-m25-rocm720
       # 8-GPU MiniMax-M2.7 (MI30x only)
       - nightly-8-gpu-minimax-m27-rocm720
       # Diffusion (MI30x)
diff --git a/.github/workflows/nightly-test-amd.yml b/.github/workflows/nightly-test-amd.yml
index 56d9a41f7..4b574901e 100644
--- a/.github/workflows/nightly-test-amd.yml
+++ b/.github/workflows/nightly-test-amd.yml
@@ -79,6 +79,8 @@ on:
           - nightly-8-gpu-mi35x-glm51
           # 8-GPU GLM-5-MXFP4 (MI35x only)
           - nightly-8-gpu-mi35x-glm5-mxfp4
+          # 4-GPU MiniMax-M2.5 (MI35x)
+          - nightly-4-gpu-mi35x-minimax-m25
           # 8-GPU MiniMax-M2.7 (MI30x only)
           - nightly-8-gpu-minimax-m27
           # Diffusion (MI30x)
@@ -1612,6 +1614,44 @@ jobs:
           echo "$(<github_summary.md )" >> $GITHUB_STEP_SUMMARY || true
           exit ${TEST_EXIT_CODE:-0}
 
+  # ==============================================================================
+  # 4-GPU MiniMax-M2.5 (MI35x)
+  # ==============================================================================
+
+  nightly-4-gpu-mi35x-minimax-m25:
+    if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && (!(inputs.job_filter || inputs.job_select) || (inputs.job_filter || inputs.job_select) == 'all' || contains(format(',{0},', inputs.job_filter || inputs.job_select), ',nightly-4-gpu-mi35x-minimax-m25,'))
+    runs-on: linux-mi35x-gpu-8
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v4
+        with:
+          ref: ${{ inputs.ref || github.sha }}
+
+      - name: Ensure VRAM is clear
+        run: bash scripts/ci/amd/ensure_vram_clear.sh rocm
+
+      - name: Setup docker (ROCm 7.0)
+        run: |
+          touch github_summary.md
+          bash scripts/ci/amd/amd_ci_start_container.sh
+        env:
+          GITHUB_WORKSPACE: ${{ github.workspace }}
+
+      - name: Install dependencies
+        run: bash scripts/ci/amd/amd_ci_install_dependency.sh --skip-test-time-deps
+
+      - name: Accuracy Test MI35x (4-GPU MiniMax-M2.5)
+        timeout-minutes: 120
+        run: |
+          > github_summary.md
+          bash scripts/ci/amd/amd_ci_exec.sh -w /sglang-checkout/test \
+            -e SGLANG_USE_AITER=1 \
+            -e SGLANG_USE_AITER_UNIFIED_ATTN=1 \
+            -e GITHUB_STEP_SUMMARY="/sglang-checkout/github_summary.md" \
+            python3 run_suite.py --hw amd --suite nightly-amd-4-gpu-mi35x-minimax-m25-tp4 --nightly --timeout-per-file 5400 ${{ (github.event_name == 'schedule' || inputs.continue_on_error) && '--continue-on-error' || '' }} || TEST_EXIT_CODE=$?
+          echo "$(<github_summary.md )" >> $GITHUB_STEP_SUMMARY || true
+          exit ${TEST_EXIT_CODE:-0}
+
   # ==============================================================================
   # 8-GPU MiniMax-M2.7 (MI30x only)
   # ==============================================================================
@@ -1759,6 +1799,8 @@ jobs:
       - nightly-8-gpu-mi35x-glm51
       # 8-GPU GLM-5-MXFP4 (MI35x only)
       - nightly-8-gpu-mi35x-glm5-mxfp4
+      # 4-GPU MiniMax-M2.5 (MI35x)
+      - nightly-4-gpu-mi35x-minimax-m25
       # 8-GPU MiniMax-M2.7 (MI30x only)
       - nightly-8-gpu-minimax-m27
       # Diffusion (MI30x)
diff --git a/test/registered/amd/accuracy/mi35x/test_minimax_m25_tp4_eval_mi35x.py b/test/registered/amd/accuracy/mi35x/test_minimax_m25_tp4_eval_mi35x.py
new file mode 100644
index 000000000..95f76a138
--- /dev/null
+++ b/test/registered/amd/accuracy/mi35x/test_minimax_m25_tp4_eval_mi35x.py
@@ -0,0 +1,255 @@
+"""MI35x MiniMax-M2.5 GSM8K Completion Evaluation Test (4-GPU, TP=4)
+
+Tests MiniMax-M2.5 with TP=4 + EP=1 configuration using few-shot completion
+benchmark on MI35x. This configuration uses unified attention with FP8 KV cache.
+
+Registry: nightly-amd-4-gpu-mi35x-minimax-m25-tp4 suite
+"""
+
+import os
+import re
+import time
+import unittest
+from dataclasses import dataclass
+from typing import List, Optional, Tuple
+
+import numpy as np
+
+from sglang.srt.utils import kill_process_tree
+from sglang.test.ci.ci_register import register_amd_ci
+from sglang.test.test_utils import (
+    DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
+    DEFAULT_URL_FOR_TEST,
+    is_in_ci,
+    popen_launch_server,
+    write_github_step_summary,
+)
+from sglang.utils import download_and_cache_file, read_jsonl
+
+register_amd_ci(
+    est_time=5400,
+    suite="nightly-amd-4-gpu-mi35x-minimax-m25-tp4",
+    nightly=True,
+)
+
+INVALID = -9999999
+
+
+@dataclass
+class ModelConfig:
+    """Configuration for a model to test."""
+
+    model_path: str
+    tp_size: int = 4
+    accuracy_threshold: float = 0.93
+    other_args: Optional[List[str]] = None
+    env_vars: Optional[dict] = None
+    timeout: Optional[int] = None
+    variant: Optional[str] = None
+
+    def __post_init__(self):
+        if self.other_args is None:
+            self.other_args = []
+        if self.env_vars is None:
+            self.env_vars = {}
+
+    def get_display_name(self) -> str:
+        if self.variant:
+            return f"{self.model_path} ({self.variant})"
+        return self.model_path
+
+
+MI35X_MINIMAX_M25_TP4_MODELS = [
+    ModelConfig(
+        model_path="MiniMaxAI/MiniMax-M2.5",
+        tp_size=4,
+        accuracy_threshold=0.93,
+        timeout=5400,
+        variant="TP4+UnifiedAttn+FP8KV",
+        other_args=[
+            "--ep-size",
+            "1",
+            "--dtype",
+            "bfloat16",
+            "--trust-remote-code",
+            "--attention-backend",
+            "aiter",
+            "--mem-fraction-static",
+            "0.85",
+            "--disable-radix-cache",
+            "--kv-cache-dtype",
+            "fp8_e4m3",
+            "--page-size",
+            "16",
+            "--watchdog-timeout",
+            "1200",
+        ],
+        env_vars={
+            "SGLANG_USE_AITER": "1",
+            "SGLANG_USE_AITER_UNIFIED_ATTN": "1",
+        },
+    ),
+]
+
+
+def get_one_example(lines, i, include_answer):
+    """Format a single GSM8K example."""
+    ret = "Question: " + lines[i]["question"] + "\nAnswer:"
+    if include_answer:
+        ret += " " + lines[i]["answer"]
+    return ret
+
+
+def get_few_shot_examples(lines, k):
+    """Get k few-shot examples for prompting."""
+    ret = ""
+    for i in range(k):
+        ret += get_one_example(lines, i, True) + "\n\n"
+    return ret
+
+
+def get_answer_value(answer_str):
+    """Extract numerical answer from response."""
+    if not isinstance(answer_str, str):
+        return INVALID
+    answer_str = answer_str.replace(",", "")
+    numbers = re.findall(r"\d+", answer_str)
+    if not numbers:
+        return INVALID
+    try:
+        return int(numbers[-1])
+    except ValueError:
+        return INVALID
+
+
+def run_gsm8k_benchmark(
+    base_url: str,
+    num_questions: int = 200,
+    num_shots: int = 5,
+    parallel: int = 64,
+) -> Tuple[float, float, float]:
+    """Run GSM8K few-shot completion benchmark."""
+    import sglang as sgl
+    from sglang.lang.backend.runtime_endpoint import RuntimeEndpoint
+
+    url = "https://raw.githubusercontent.com/openai/grade-school-math/master/grade_school_math/data/test.jsonl"
+    data_path = download_and_cache_file(url)
+    lines = list(read_jsonl(data_path))
+
+    few_shot_examples = get_few_shot_examples(lines, num_shots)
+
+    questions = []
+    labels = []
+    for i in range(len(lines[:num_questions])):
+        questions.append(get_one_example(lines, i, False))
+        labels.append(get_answer_value(lines[i]["answer"]))
+    assert all(l != INVALID for l in labels)
+    arguments = [{"question": q} for q in questions]
+
+    @sgl.function
+    def few_shot_gsm8k(s, question):
+        s += few_shot_examples + question
+        s += sgl.gen(
+            "answer", max_tokens=512, stop=["Question", "Assistant:", "<|separator|>"]
+        )
+
+    backend = RuntimeEndpoint(base_url)
+    sgl.set_default_backend(backend)
+
+    tic = time.perf_counter()
+    states = few_shot_gsm8k.run_batch(
+        arguments, temperature=0, num_threads=parallel, progress_bar=True
+    )
+    latency = time.perf_counter() - tic
+
+    preds = [get_answer_value(states[i]["answer"]) for i in range(len(states))]
+    acc = np.mean(np.array(preds) == np.array(labels))
+    invalid = np.mean(np.array(preds) == INVALID)
+
+    return float(acc), float(invalid), float(latency)
+
+
+class TestMiniMaxM25TP4EvalMI35x(unittest.TestCase):
+    """MiniMax-M2.5 TP=4 GSM8K Completion Evaluation Test for AMD MI35x."""
+
+    @classmethod
+    def setUpClass(cls):
+        cls.models = MI35X_MINIMAX_M25_TP4_MODELS
+        cls.base_url = DEFAULT_URL_FOR_TEST
+        cls.num_questions = int(os.environ.get("GSM8K_NUM_QUESTIONS", "1319"))
+
+    def test_minimax_m25_tp4_accuracy(self):
+        """Test MiniMax-M2.5 TP=4 with GSM8K completion benchmark."""
+        all_results = []
+        summary = "### MiniMax-M2.5 TP=4 (MI35x)\n\n"
+        summary += "| Model | Variant | TP | Accuracy | Threshold | Status |\n"
+        summary += "| ----- | ------- | -- | -------- | --------- | ------ |\n"
+
+        for config in self.models:
+            display_name = config.get_display_name()
+            with self.subTest(model=display_name):
+                print(f"\n{'='*60}")
+                print(f"Testing: {display_name}")
+                print(f"{'='*60}")
+
+                env = os.environ.copy()
+                for key, value in config.env_vars.items():
+                    env[key] = value
+
+                other_args = list(config.other_args)
+                other_args.extend(["--tp", str(config.tp_size)])
+                timeout = config.timeout or DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH
+
+                try:
+                    process = popen_launch_server(
+                        model=config.model_path,
+                        base_url=self.base_url,
+                        timeout=timeout,
+                        other_args=other_args,
+                        env=env,
+                    )
+
+                    try:
+                        acc, invalid, latency = run_gsm8k_benchmark(
+                            self.base_url, num_questions=self.num_questions
+                        )
+                        passed = acc >= config.accuracy_threshold
+                        status = "PASS" if passed else "FAIL"
+                        print(
+                            f"  accuracy={acc:.3f} threshold={config.accuracy_threshold} {status}"
+                        )
+                        print(f"  invalid={invalid:.3f} latency={latency:.1f}s")
+
+                        all_results.append(
+                            {
+                                "model": display_name,
+                                "accuracy": acc,
+                                "passed": passed,
+                            }
+                        )
+                        summary += f"| {config.model_path} | {config.variant or 'N/A'} | {config.tp_size} | {acc:.3f} | {config.accuracy_threshold} | {status} |\n"
+
+                    finally:
+                        kill_process_tree(process.pid)
+
+                except Exception as e:
+                    summary += f"| {config.model_path} | {config.variant or 'N/A'} | {config.tp_size} | N/A | {config.accuracy_threshold} | ERROR |\n"
+                    all_results.append(
+                        {
+                            "model": display_name,
+                            "accuracy": None,
+                            "passed": False,
+                            "error": str(e),
+                        }
+                    )
+
+        if is_in_ci():
+            write_github_step_summary(summary)
+
+        failed = [r for r in all_results if not r["passed"]]
+        if failed:
+            raise AssertionError(f"Failed models: {[r['model'] for r in failed]}")
+
+
+if __name__ == "__main__":
+    unittest.main()