diff --git a/.github/configs/nvidia-master.yaml b/.github/configs/nvidia-master.yaml
index 2e1b43a97..a8a240a3b 100644
--- a/.github/configs/nvidia-master.yaml
+++ b/.github/configs/nvidia-master.yaml
@@ -4497,6 +4497,25 @@ minimaxm2.5-fp8-h100-vllm:
       # - { tp: 8, ep: 8, conc-start: 4, conc-end: 64 }
       - { tp: 4, ep: 4, conc-start: 4, conc-end: 64 }
 
+minimaxm2.5-fp4-h100-vllm:
+  image: vllm/vllm-openai:v0.19.1-cu130
+  model: nvidia/MiniMax-M2.5-NVFP4
+  model-prefix: minimaxm2.5
+  runner: h100
+  precision: fp4
+  framework: vllm
+  multinode: false
+  scenarios:
+    fixed-seq-len:
+    - isl: 1024
+      osl: 1024
+      search-space:
+      - { tp: 8, ep: 1, conc-start: 4, conc-end: 512 }
+    - isl: 8192
+      osl: 1024
+      search-space:
+      - { tp: 8, ep: 1, conc-start: 4, conc-end: 512 }
+
 # Diverged from minimaxm2.5-fp8-h100-vllm (agentic-coding sibling). Metadata is
 # identical to origin/main's minimaxm2.5-fp8-h100-vllm; the split exists because this
 # PR adds an agentic-coding scenarios block that differs from main
diff --git a/benchmarks/single_node/minimaxm2.5_fp4_h100.sh b/benchmarks/single_node/minimaxm2.5_fp4_h100.sh
new file mode 100755
index 000000000..3d57b67ac
--- /dev/null
+++ b/benchmarks/single_node/minimaxm2.5_fp4_h100.sh
@@ -0,0 +1,78 @@
+#!/usr/bin/env bash
+
+source "$(dirname "$0")/../benchmark_lib.sh"
+
+check_env_vars \
+    MODEL \
+    TP \
+    EP_SIZE \
+    CONC \
+    ISL \
+    OSL \
+    RANDOM_RANGE_RATIO \
+    RESULT_FILENAME
+
+if [[ -n "$SLURM_JOB_ID" ]]; then
+  echo "JOB $SLURM_JOB_ID running on $SLURMD_NODENAME"
+fi
+
+hf download "$MODEL"
+
+nvidia-smi
+
+export PYTHONNOUSERSITE=1
+
+SERVER_LOG=/workspace/server.log
+PORT=${PORT:-8888}
+
+if [ "${EVAL_ONLY}" = "true" ]; then
+    setup_eval_context
+fi
+
+if [ "$EP_SIZE" -gt 1 ]; then
+  EP=" --enable-expert-parallel"
+else
+  EP=" "
+fi
+
+# Start GPU monitoring (power, temperature, clocks every second)
+start_gpu_monitor
+
+set -x
+vllm serve $MODEL --host 0.0.0.0 --port $PORT \
+--tensor-parallel-size=$TP \
+$EP \
+--trust-remote-code \
+--enable-auto-tool-choice \
+--tool-call-parser minimax_m2 \
+--reasoning-parser minimax_m2_append_think \
+--max-num-seqs $CONC \
+> $SERVER_LOG 2>&1 &
+
+SERVER_PID=$!
+
+# Wait for server to be ready
+wait_for_server_ready --port "$PORT" --server-log "$SERVER_LOG" --server-pid "$SERVER_PID"
+
+run_benchmark_serving \
+    --model "$MODEL" \
+    --port "$PORT" \
+    --backend vllm \
+    --input-len "$ISL" \
+    --output-len "$OSL" \
+    --random-range-ratio "$RANDOM_RANGE_RATIO" \
+    --num-prompts "$((CONC * 10))" \
+    --max-concurrency "$CONC" \
+    --result-filename "$RESULT_FILENAME" \
+    --result-dir /workspace/ \
+    --trust-remote-code
+
+# After throughput, run evaluation only if RUN_EVAL is true
+if [ "${RUN_EVAL}" = "true" ]; then
+    run_eval --framework lm-eval --port "$PORT"
+    append_lm_eval_summary
+fi
+
+# Stop GPU monitoring
+stop_gpu_monitor
+set +x
diff --git a/perf-changelog.yaml b/perf-changelog.yaml
index 562bda078..b4d8b2bf1 100644
--- a/perf-changelog.yaml
+++ b/perf-changelog.yaml
@@ -2949,3 +2949,13 @@
     - "Following recipe from https://github.com/vllm-project/recipes/pull/433"
     - "Add DEP8 dp-attn=true validation probes at conc=64 for 1k1k and 8k1k"
   pr-link: https://github.com/SemiAnalysisAI/InferenceX/pull/1374
+
+- config-keys:
+    - minimaxm2.5-fp4-h100-vllm
+  description:
+    - "Add MiniMax-M2.5-NVFP4 H100 vLLM benchmark"
+    - "Image: vllm/vllm-openai:v0.19.1-cu130"
+    - "Model: nvidia/MiniMax-M2.5-NVFP4"
+    - "TP=8, EP=1, --tool-call-parser minimax_m2, --reasoning-parser minimax_m2_append_think"
+    - "Configs: 1k1k conc 4-512, 8k1k conc 4-512"
+  pr-link: https://github.com/NVIDIA/InferenceMAX/pull/1517