diff --git a/inferencex-e2e/benchmarks/single_node/srt-slurm-recipes/dsv4/vllm/b200-fp4-mtp/agentic.yaml b/inferencex-e2e/benchmarks/single_node/srt-slurm-recipes/dsv4/vllm/b200-fp4-mtp/agentic.yaml
index 44c6285845..83841e6fe2 100644
--- a/inferencex-e2e/benchmarks/single_node/srt-slurm-recipes/dsv4/vllm/b200-fp4-mtp/agentic.yaml
+++ b/inferencex-e2e/benchmarks/single_node/srt-slurm-recipes/dsv4/vllm/b200-fp4-mtp/agentic.yaml
@@ -6,7 +6,7 @@ base:
   name: dsv4-fp4-b200-vllm-agentic
   model:
     path: hf:deepseek-ai/DeepSeek-V4-Pro-0813
-    container: vllm/vllm-openai:nightly-dev-x86_64-cu13.0.1-591bb95
+    container: vllm/vllm-openai:nightly-2eb491e18b1ce5b8a25e4c88f32dbb5d028d525c@sha256:514cd42702d29a7b8efe20b0a916523ac473ecebdec8d53b1a0d0f5439a48634
     precision: fp4
   resources:
     gpu_type: b200
@@ -53,7 +53,6 @@ base:
         VLLM_PREFIX_CACHE_RETENTION_INTERVAL: '32768'
         VLLM_USE_V2_MODEL_RUNNER: '1'
         VLLM_USE_RUST_FRONTEND: '1'
-        VLLM_DSV4_MEGA_FP8_COMBINE: '1'
         VLLM_RPC_TIMEOUT: '600000'
         TORCH_CUDA_ARCH_LIST: '10.0'
         PYTHONNOUSERSITE: '1'
@@ -187,7 +186,7 @@ override_dep8_c32:
         data-parallel-size: 8
         enable-expert-parallel: true
         enable-ep-weight-filter: true
-        moe-backend: deep_gemm_amxf4_mega_moe
+        moe-backend: deep_gemm_mega_moe
         prefill-schedule-interval: 16
         long-prefill-token-threshold: 512
         kv-cache-memory-bytes: 37580963840
@@ -223,7 +222,7 @@ override_dep8_c64:
         data-parallel-size: 8
         enable-expert-parallel: true
         enable-ep-weight-filter: true
-        moe-backend: deep_gemm_amxf4_mega_moe
+        moe-backend: deep_gemm_mega_moe
         prefill-schedule-interval: 16
         long-prefill-token-threshold: 512
         kv-cache-memory-bytes: 37580963840
@@ -259,7 +258,7 @@ override_dep8_c96:
         data-parallel-size: 8
         enable-expert-parallel: true
         enable-ep-weight-filter: true
-        moe-backend: deep_gemm_amxf4_mega_moe
+        moe-backend: deep_gemm_mega_moe
         prefill-schedule-interval: 16
         long-prefill-token-threshold: 512
         kv-cache-memory-bytes: 37580963840
@@ -295,7 +294,7 @@ override_dep8_c128:
         data-parallel-size: 8
         enable-expert-parallel: true
         enable-ep-weight-filter: true
-        moe-backend: deep_gemm_amxf4_mega_moe
+        moe-backend: deep_gemm_mega_moe
         prefill-schedule-interval: 16
         long-prefill-token-threshold: 512
         kv-cache-memory-bytes: 37580963840
@@ -331,7 +330,7 @@ override_dep8_c160:
         data-parallel-size: 8
         enable-expert-parallel: true
         enable-ep-weight-filter: true
-        moe-backend: deep_gemm_amxf4_mega_moe
+        moe-backend: deep_gemm_mega_moe
         prefill-schedule-interval: 16
         long-prefill-token-threshold: 512
         kv-cache-memory-bytes: 36507222016
@@ -367,7 +366,7 @@ override_dep8_c192:
         data-parallel-size: 8
         enable-expert-parallel: true
         enable-ep-weight-filter: true
-        moe-backend: deep_gemm_amxf4_mega_moe
+        moe-backend: deep_gemm_mega_moe
         prefill-schedule-interval: 16
         long-prefill-token-threshold: 512
         kv-cache-memory-bytes: 36507222016
diff --git a/inferencex-e2e/configs/nvidia-master.yaml b/inferencex-e2e/configs/nvidia-master.yaml
index 12c4cc160e..e326c4183c 100644
--- a/inferencex-e2e/configs/nvidia-master.yaml
+++ b/inferencex-e2e/configs/nvidia-master.yaml
@@ -936,7 +936,7 @@ dsv4-fp4-b200-sglang-agentic-hicache-mtp:
       - { tp: 8, ep: 8, dp-attn: true, kv-offloading: dram, kv-offload-backend: { name: hicache }, spec-decoding: draft_model, conc-list: [64, 96, 128, 160], router: { name: sglang-router, version: "0.3.2" }, srt-recipe: benchmarks/single_node/srt-slurm-recipes/dsv4/sglang/b200-fp4-mtp/agentic.yaml }
 
 dsv4-fp4-b200-vllm-agentic-mtp:
-  image: vllm/vllm-openai:nightly-dev-x86_64-cu13.0.1-591bb95
+  image: vllm/vllm-openai:nightly-2eb491e18b1ce5b8a25e4c88f32dbb5d028d525c@sha256:514cd42702d29a7b8efe20b0a916523ac473ecebdec8d53b1a0d0f5439a48634
   model: deepseek-ai/DeepSeek-V4-Pro-0813
   model-prefix: dsv4
   runner: cluster:b200-nscale
diff --git a/inferencex-e2e/perf-changelog.yaml b/inferencex-e2e/perf-changelog.yaml
index 2334965697..71dbcaf404 100644
--- a/inferencex-e2e/perf-changelog.yaml
+++ b/inferencex-e2e/perf-changelog.yaml
@@ -9538,3 +9538,9 @@
     - "Run prefill context parallelism on the TP-only arms at conc 16, 32 and 48; conc 1 and 4 keep BCG."
     - "Enable SGLANG_OPT_FP8_WO_A_FUSED_INVROPE."
   pr-link: https://github.com/SemiAnalysisAI/InferenceX/pull/3778
+
+- config-keys:
+    - dsv4-fp4-b200-vllm-agentic-mtp
+  description:
+    - "Update the vLLM image to upstream nightly 2eb491e and switch DEP8 to the deep_gemm_mega_moe backend."
+  pr-link: https://github.com/SemiAnalysisAI/InferenceX/pull/3917