diff --git a/deepinfer/environ.py b/deepinfer/environ.py
index 30f352a..3b71376 100644
--- a/deepinfer/environ.py
+++ b/deepinfer/environ.py
@@ -123,8 +123,9 @@ class envs:
     # DEEPINFER_MAX_BACKTRACKING_TOKENS >= bucket (the SWA / compressor rings must hold a whole chunk).
     DEEPINFER_NEURON_PREFILL_BUCKET = EnvVar.int(default=0)
     # Neuron only: routed rows per local expert in a prefill chunk's MoE (0 = dense over all gathered rows). An expert
-    # with more routed rows reruns the layer's MoE densely.
-    DEEPINFER_NEURON_MOE_CAPACITY = EnvVar.int(default=1024)
+    # with more routed rows reruns the layer's MoE densely. Off by default: measured slower (108 vs 58 ms a layer for
+    # a 128-token chunk at EP=64, and every layer overflowed at 1024), issue #26.
+    DEEPINFER_NEURON_MOE_CAPACITY = EnvVar.int(default=0)
     # Neuron only: run the sampler's process_sampling as one compiled graph instead of ~1900 eager ops a step.
     DEEPINFER_NEURON_COMPILE_SAMPLER = EnvVar.bool(default=True)
     # Neuron only: compile the decode step with fullgraph=True (raise on the first graph break).