diff --git a/inferencex-e2e/benchmarks/single_node/srt-slurm-recipes/minimaxm3/trtllm/b300-fp4-mtp/agentic.yaml b/inferencex-e2e/benchmarks/single_node/srt-slurm-recipes/minimaxm3/trtllm/b300-fp4-mtp/agentic.yaml
index a5d7319918..db977bd887 100644
--- a/inferencex-e2e/benchmarks/single_node/srt-slurm-recipes/minimaxm3/trtllm/b300-fp4-mtp/agentic.yaml
+++ b/inferencex-e2e/benchmarks/single_node/srt-slurm-recipes/minimaxm3/trtllm/b300-fp4-mtp/agentic.yaml
@@ -14,7 +14,6 @@ base:
   engine:
     type: trtllm
     served_model_name: nvidia/MiniMax-M3-NVFP4
-  setup_script: minimaxm3-trtllm-agentx.sh
   roles:
     agg:
       nodes: 1
@@ -45,7 +44,8 @@ base:
         kv_cache_config:
           free_gpu_memory_fraction: 0.94
           enable_block_reuse: true
-          block_reuse_policy: per_conversation
+          block_reuse_config:
+            policy: per_conversation
           tokens_per_block: 128
           use_kv_cache_manager_v2: true
           dtype: fp8
diff --git a/inferencex-e2e/configs/nvidia-master.yaml b/inferencex-e2e/configs/nvidia-master.yaml
index dcc8d15576..b9a932e679 100644
--- a/inferencex-e2e/configs/nvidia-master.yaml
+++ b/inferencex-e2e/configs/nvidia-master.yaml
@@ -5529,7 +5529,7 @@ minimaxm3-fp4-gb300-dynamo-vllm-agentic-mtp-disagg:
           dp-attn: false
         decode: { num-worker: 5, tp: 2, ep: 1, dp-attn: false }
 minimaxm3-fp4-b300-trtllm-agentic-mtp:
-  image: nvcr.io#nvidia/tensorrt-llm/release:1.3.0rc23.post1
+  image: nvcr.io/nvidia/tensorrt-llm/release:1.4.0rc1@sha256:3bedbe0321e7eb5430f3177d88894a3cf2dc2f6a087d0e85c13fc882667c75c0
   model: nvidia/MiniMax-M3-NVFP4
   model-prefix: minimaxm3
   runner: cluster:b300-dsxe
diff --git a/inferencex-e2e/perf-changelog.yaml b/inferencex-e2e/perf-changelog.yaml
index 907bd21213..f3984b2aa6 100644
--- a/inferencex-e2e/perf-changelog.yaml
+++ b/inferencex-e2e/perf-changelog.yaml
@@ -11489,3 +11489,11 @@
     - "Update the MI355X DeepSeek-V4-Pro-0813 SGLang MoRI disaggregated AgentX serving image from lmsysorg/sglang-rocm:v0.5.22-rocm720-mi35x-20261019 to lmsysorg/sglang-rocm:v0.5.22-rocm10-mi35x-20261026, the latest published MI35x ROCm 10 nightly (digest sha256:edabad83728ab04e3eae39f315eb16261eeb64dbdb051112bd22fc88560b60c4)."
     - "Preserve all eight concurrency points (1, 16, 32, 48, 192, 256, 384, 512), prefill/decode topology, DSpark settings, UMBP offload, MoRI transfer, and benchmark client image. The workload binder supplies the serving image to every selected recipe variant."
   pr-link: https://github.com/SemiAnalysisAI/InferenceX/pull/4571
+
+- config-keys:
+    - minimaxm3-fp4-b300-trtllm-agentic-mtp
+  scenario-type:
+    - agentic-coding
+  description:
+    - "Update the MiniMax-M3 FP4 B300 TensorRT-LLM AgentX MTP image from 1.3.0rc23.post1 to 1.4.0rc1."
+  pr-link: https://github.com/SemiAnalysisAI/InferenceX/pull/4607