diff --git a/inferencex-e2e/benchmarks/multi_node/srt-slurm-recipes/minimaxm3/vllm/gb300-fp4/agentx/disagg-variants.yaml b/inferencex-e2e/benchmarks/multi_node/srt-slurm-recipes/minimaxm3/vllm/gb300-fp4/agentx/disagg-variants.yaml
index 0371e10c36..b3507486ba 100644
--- a/inferencex-e2e/benchmarks/multi_node/srt-slurm-recipes/minimaxm3/vllm/gb300-fp4/agentx/disagg-variants.yaml
+++ b/inferencex-e2e/benchmarks/multi_node/srt-slurm-recipes/minimaxm3/vllm/gb300-fp4/agentx/disagg-variants.yaml
@@ -6,11 +6,11 @@ base:
     model: {}
     container: {}
     frameworks:
-      dynamo: "1.4.0.dev20260730"
+      dynamo: "1.7.0.dev20261025"
   dynamo:
     install: true
     source:
-      pypi: "1.4.0.dev20260730"
+      pypi: "1.7.0.dev20261025"
   health_check:
     max_attempts: 2160
     interval_seconds: 10
@@ -174,12 +174,12 @@ override_1p1d_tep4_tp4_c1:
         tensor-parallel-size: 4
         enable-expert-parallel: true
         all2all-backend: "flashinfer_nvlink_one_sided"
-        speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASH_ATTN","rejection_sample_method":"block"}'
+        speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASHINFER","rejection_sample_method":"block"}'
     decode:
       nodes: 1
       workers: 1
       args:
-        speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASH_ATTN","rejection_sample_method":"block"}'
+        speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASHINFER","rejection_sample_method":"block"}'
 
 override_1p1d_tep4_tp4_c1_eval:
   name: "minimax-m3-vllm-disagg-gb300-1p1d-tep4-tp4-c1-fp4-eval-agentic"
@@ -192,12 +192,12 @@ override_1p1d_tep4_tp4_c1_eval:
         tensor-parallel-size: 4
         enable-expert-parallel: true
         all2all-backend: "flashinfer_nvlink_one_sided"
-        speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASH_ATTN"}'
+        speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASHINFER"}'
     decode:
       nodes: 1
       workers: 1
       args:
-        speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASH_ATTN"}'
+        speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASHINFER"}'
 
 override_1p1d_tp2_tp4_c20_c24:
   name: "minimax-m3-vllm-disagg-gb300-1p1d-tp2-tp4-c20-c24-fp4-agentic"
@@ -206,12 +206,12 @@ override_1p1d_tp2_tp4_c20_c24:
   roles:
     prefill:
       args:
-        speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASH_ATTN","rejection_sample_method":"block"}'
+        speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASHINFER","rejection_sample_method":"block"}'
     decode:
       nodes: 1
       workers: 1
       args:
-        speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASH_ATTN","rejection_sample_method":"block"}'
+        speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASHINFER","rejection_sample_method":"block"}'
 
 override_1p1d_tp2_tp4_c20_c24_eval:
   name: "minimax-m3-vllm-disagg-gb300-1p1d-tp2-tp4-c20-c24-fp4-eval-agentic"
@@ -220,12 +220,12 @@ override_1p1d_tp2_tp4_c20_c24_eval:
   roles:
     prefill:
       args:
-        speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASH_ATTN"}'
+        speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASHINFER"}'
     decode:
       nodes: 1
       workers: 1
       args:
-        speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASH_ATTN"}'
+        speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASHINFER"}'
 
 override_1p3d_dep4_tp4_c24:
   name: "minimax-m3-vllm-disagg-gb300-1p3d-dep4-tp4-c24-fp4-agentic"
@@ -240,12 +240,12 @@ override_1p3d_dep4_tp4_c24:
         data-parallel-rpc-port: 13345
         enable-expert-parallel: true
         all2all-backend: "flashinfer_nvlink_one_sided"
-        speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASH_ATTN","rejection_sample_method":"block"}'
+        speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASHINFER","rejection_sample_method":"block"}'
     decode:
       nodes: 3
       workers: 3
       args:
-        speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASH_ATTN","rejection_sample_method":"block"}'
+        speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASHINFER","rejection_sample_method":"block"}'
 
 override_1p3d_dep4_tp4_c24_eval:
   name: "minimax-m3-vllm-disagg-gb300-1p3d-dep4-tp4-c24-fp4-eval-agentic"
@@ -260,12 +260,12 @@ override_1p3d_dep4_tp4_c24_eval:
         data-parallel-rpc-port: 13345
         enable-expert-parallel: true
         all2all-backend: "flashinfer_nvlink_one_sided"
-        speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASH_ATTN"}'
+        speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASHINFER"}'
     decode:
       nodes: 3
       workers: 3
       args:
-        speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASH_ATTN"}'
+        speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASHINFER"}'
 
 override_1p3d_tp2_tp2_c48:
   name: "minimax-m3-vllm-disagg-gb300-1p3d-tp2-tp2-c48-fp4-agentic"
@@ -276,14 +276,14 @@ override_1p3d_tp2_tp2_c48:
   roles:
     prefill:
       args:
-        speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASH_ATTN","rejection_sample_method":"block"}'
+        speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASHINFER","rejection_sample_method":"block"}'
     decode:
       nodes: 3
       workers: 3
       gpus: 2
       args:
         tensor-parallel-size: 2
-        speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASH_ATTN","rejection_sample_method":"block"}'
+        speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASHINFER","rejection_sample_method":"block"}'
 
 override_1p3d_tp2_tp2_c48_eval:
   name: "minimax-m3-vllm-disagg-gb300-1p3d-tp2-tp2-c48-fp4-eval-agentic"
@@ -294,14 +294,14 @@ override_1p3d_tp2_tp2_c48_eval:
   roles:
     prefill:
       args:
-        speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASH_ATTN"}'
+        speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASHINFER"}'
     decode:
       nodes: 3
       workers: 3
       gpus: 2
       args:
         tensor-parallel-size: 2
-        speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASH_ATTN"}'
+        speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASHINFER"}'
 
 override_2p5d_tp2_tp2_c120:
   name: "minimax-m3-vllm-disagg-gb300-2p5d-tp2-tp2-c120-fp4-agentic"
@@ -314,14 +314,14 @@ override_2p5d_tp2_tp2_c120:
       nodes: 2
       workers: 2
       args:
-        speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASH_ATTN","rejection_sample_method":"block"}'
+        speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASHINFER","rejection_sample_method":"block"}'
     decode:
       nodes: 5
       workers: 5
       gpus: 2
       args:
         tensor-parallel-size: 2
-        speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASH_ATTN","rejection_sample_method":"block"}'
+        speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASHINFER","rejection_sample_method":"block"}'
 
 override_2p5d_tp2_tp2_c120_eval:
   name: "minimax-m3-vllm-disagg-gb300-2p5d-tp2-tp2-c120-fp4-eval-agentic"
@@ -334,11 +334,11 @@ override_2p5d_tp2_tp2_c120_eval:
       nodes: 2
       workers: 2
       args:
-        speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASH_ATTN"}'
+        speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASHINFER"}'
     decode:
       nodes: 5
       workers: 5
       gpus: 2
       args:
         tensor-parallel-size: 2
-        speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASH_ATTN"}'
+        speculative-config: '{"method":"eagle3","model":"Inferact/MiniMax-M3-EAGLE3-GQA","num_speculative_tokens":3,"attention_backend":"FLASHINFER"}'
diff --git a/inferencex-e2e/configs/nvidia-master.yaml b/inferencex-e2e/configs/nvidia-master.yaml
index 5ae75951e6..df50851ac9 100644
--- a/inferencex-e2e/configs/nvidia-master.yaml
+++ b/inferencex-e2e/configs/nvidia-master.yaml
@@ -5453,7 +5453,7 @@ minimaxm3-fp4-b300-vllm-agentic-mtp:
       - { tp: 2, spec-decoding: mtp, kv-offloading: dram, kv-offload-backend: { name: vllm-simple }, conc-list: [24, 28], srt-recipe: agentic.yaml }
 
 minimaxm3-fp4-gb300-dynamo-vllm-agentic-mtp-disagg:
-  image: vllm/vllm-openai:nightly-5e35a6f4f9bbc217c599692157ca985c894373f7
+  image: vllm/vllm-openai:v0.32.0@sha256:befccf0e7e4089aa23926bb6f887a85c0d46c2a99e6de5c5ffdf5cb7957c5b34
   model: nvidia/MiniMax-M3-NVFP4
   model-prefix: minimaxm3
   runner: cluster:gb300-nv