diff --git a/python/sglang/srt/layers/attention/flashattention_backend.py b/python/sglang/srt/layers/attention/flashattention_backend.py
index ee187bade0..3c3e69d841 100644
--- a/python/sglang/srt/layers/attention/flashattention_backend.py
+++ b/python/sglang/srt/layers/attention/flashattention_backend.py
@@ -3744,3 +3744,85 @@ def cdiv(a: int, b: int) -> int:
 @torch._dynamo.disable()
 def merge_state_v2_wrapper(o, s_a, o_exp, s_b):
     return merge_state_v2(o, s_a, o_exp, s_b)
+
+
+# mimo26: adaptive DFLASH verify width. A second, narrower target-verify graph
+# runner shares this backend; it must not reallocate the full-width runner's
+# graph buffers, and narrow verifies need their own metadata (static
+# cu_seqlens_q stride, per-bs metadata objects) and width.
+import contextlib as _mimo26_contextlib
+
+
+@_mimo26_contextlib.contextmanager
+def _mimo26_verify_width(self, forward_batch):
+    spec_info = getattr(forward_batch, "spec_info", None)
+    width = getattr(spec_info, "num_tokens_per_req", -1) if spec_info is not None else -1
+    full = getattr(self, "_mimo26_full_width", None) or self.speculative_num_draft_tokens
+    if (
+        not forward_batch.forward_mode.is_target_verify()
+        or self.topk > 1
+        or width is None
+        or width <= 0
+        or not full
+        or width == full
+    ):
+        yield
+        return
+    saved_width = self.speculative_num_draft_tokens
+    saved_meta = self.target_verify_metadata
+    base = saved_meta
+    if isinstance(base, dict) and "cache_seqlens" in base:
+        cache = self.__dict__.setdefault("_mimo26_tv_meta", {})
+        meta = cache.get(width)
+        if meta is None:
+            max_bs = base["cache_seqlens"].shape[0]
+            meta = {
+                k: torch.zeros_like(v)
+                for k, v in base.items()
+                if isinstance(k, str) and k not in ("cu_seqlens_q", "strided_indices")
+            }
+            meta["strided_indices"] = base["strided_indices"]
+            meta["cu_seqlens_q"] = torch.arange(
+                0, max_bs * width + 1, step=width, dtype=torch.int32, device=self.device
+            )
+            cache[width] = meta
+        self.target_verify_metadata = meta
+    self.speculative_num_draft_tokens = width
+    try:
+        yield
+    finally:
+        self.speculative_num_draft_tokens = saved_width
+        self.target_verify_metadata = saved_meta
+
+
+def _mimo26_wrap_metadata(name):
+    orig = getattr(FlashAttentionBackend, name)
+
+    def wrapper(self, forward_batch, *args, **kwargs):
+        with _mimo26_verify_width(self, forward_batch):
+            return orig(self, forward_batch, *args, **kwargs)
+
+    wrapper.__name__ = name
+    wrapper.__doc__ = orig.__doc__
+    return wrapper
+
+
+def _mimo26_wrap_graph_state():
+    orig = FlashAttentionBackend.init_cuda_graph_state
+
+    def init_cuda_graph_state(self, max_bs: int, max_num_tokens: int):
+        prev = getattr(self, "_mimo26_graph_state_dims", None)
+        if prev is not None and prev[0] >= max_bs and prev[1] >= max_num_tokens:
+            return
+        orig(self, max_bs, max_num_tokens)
+        self._mimo26_graph_state_dims = (max_bs, max_num_tokens)
+        self._mimo26_full_width = self.speculative_num_draft_tokens
+        self._mimo26_tv_meta = {}
+
+    init_cuda_graph_state.__doc__ = orig.__doc__
+    return init_cuda_graph_state
+
+
+for _mimo26_name in ("init_forward_metadata", "init_forward_metadata_out_graph"):
+    setattr(FlashAttentionBackend, _mimo26_name, _mimo26_wrap_metadata(_mimo26_name))
+FlashAttentionBackend.init_cuda_graph_state = _mimo26_wrap_graph_state()
diff --git a/python/sglang/srt/layers/attention/triton_backend.py b/python/sglang/srt/layers/attention/triton_backend.py
index 979828200d..b037bc7f63 100644
--- a/python/sglang/srt/layers/attention/triton_backend.py
+++ b/python/sglang/srt/layers/attention/triton_backend.py
@@ -1054,6 +1054,18 @@ class TritonAttnBackend(AttentionBackend):
         kv_indices_buf: Optional[torch.Tensor] = None,
         cuda_graph_num_kv_splits_buf: Optional[torch.Tensor] = None,
     ):
+        # mimo26: a second (narrower) target-verify runner reuses the buffers the
+        # first runner's graphs already reference instead of reallocating them.
+        prev = getattr(self, "_mimo26_graph_state_dims", None)
+        if (
+            prev is not None
+            and prev[0] >= max_bs
+            and prev[1] >= max_num_tokens
+            and kv_indices_buf is None
+            and cuda_graph_num_kv_splits_buf is None
+        ):
+            return
+        self._mimo26_graph_state_dims = (max_bs, max_num_tokens)
         self.cuda_graph_attn_logits = torch.zeros(
             (max_num_tokens, self.num_head, self.max_kv_splits, self.v_head_dim),
             dtype=torch.float32,
diff --git a/python/sglang/srt/model_executor/model_runner.py b/python/sglang/srt/model_executor/model_runner.py
index 423b5b1a6b..4780938911 100644
--- a/python/sglang/srt/model_executor/model_runner.py
+++ b/python/sglang/srt/model_executor/model_runner.py
@@ -1846,10 +1846,16 @@ class ModelRunner:
                 if self.device == "cpu"
                 else forward_batch.forward_mode.is_cuda_graph
             )
+            graph_runner = self.decode_cuda_graph_runner
+            alt_runners = getattr(self, "mimo26_alt_verify_runners", None)
+            if alt_runners and forward_batch.forward_mode.is_target_verify():
+                # mimo26: adaptive DFLASH verify width selects its own captured graphs.
+                width = getattr(forward_batch.spec_info, "num_tokens_per_req", -1)
+                graph_runner = alt_runners.get(width, graph_runner)
             can_run_graph = bool(
                 mode_check()
-                and self.decode_cuda_graph_runner
-                and self.decode_cuda_graph_runner.can_run_graph(forward_batch)
+                and graph_runner
+                and graph_runner.can_run_graph(forward_batch)
             )
 
             if (
@@ -1862,7 +1868,7 @@ class ModelRunner:
 
             # Replay cuda graph if applicable
             if can_run_graph:
-                ret = self.decode_cuda_graph_runner.execute(
+                ret = graph_runner.execute(
                     forward_batch,
                     pp_proxy_tensors=pp_proxy_tensors,
                 )
diff --git a/python/sglang/srt/speculative/dflash_worker_v2.py b/python/sglang/srt/speculative/dflash_worker_v2.py
index bb757c07be..62d213e2fe 100644
--- a/python/sglang/srt/speculative/dflash_worker_v2.py
+++ b/python/sglang/srt/speculative/dflash_worker_v2.py
@@ -672,6 +672,67 @@ class DFlashWorkerV2(BaseSpecWorker):
             self._draft_worker.init_cuda_graphs(
                 capture_decode_cuda_graph=capture_decode_cuda_graph
             )
+        self._mimo26_setup_adaptive()
+
+    def _mimo26_setup_adaptive(self):
+        self._mimo26_widths = []
+        self._mimo26_full_block = int(self.block_size)
+        self._mimo26_narrow_active = False
+        if os.environ.get("MIMO26_DFLASH_ADAPTIVE", "0") != "1":
+            return
+        small = int(os.environ.get("MIMO26_DFLASH_SMALL_WIDTH", "4"))
+        self._mimo26_lo = float(os.environ.get("MIMO26_DFLASH_LO", "1.8"))
+        self._mimo26_hi = float(os.environ.get("MIMO26_DFLASH_HI", "2.6"))
+        self._mimo26_alpha = float(os.environ.get("MIMO26_DFLASH_ALPHA", "0.3"))
+        full = self._mimo26_full_block
+        tmr = self.target_worker.model_runner
+        if not (1 < small < full) or tmr.decode_cuda_graph_runner is None:
+            logger.warning("mimo26: adaptive DFLASH verify width disabled (small=%d full=%d)", small, full)
+            return
+        original = tmr.decode_num_tokens_per_req
+        tmr.decode_num_tokens_per_req = lambda **kwargs: small
+        try:
+            runner = tmr._decode_cuda_graph_runner_cls()(tmr)
+        finally:
+            tmr.decode_num_tokens_per_req = original
+        tmr.mimo26_alt_verify_runners = {small: runner}
+        self._mimo26_widths = [small]
+        logger.info(
+            "mimo26: adaptive DFLASH verify width %d/%d (lo=%.2f hi=%.2f alpha=%.2f)",
+            small, full, self._mimo26_lo, self._mimo26_hi, self._mimo26_alpha,
+        )
+
+    def _mimo26_choose_width(self, batch) -> int:
+        """Full block if any request is accepting well, else the narrow width.
+
+        Uses the scheduler's per-request counters (identical on every TP rank, one
+        step behind under overlap scheduling): an EMA of correct drafts per verify,
+        with hysteresis between MIMO26_DFLASH_LO and MIMO26_DFLASH_HI.
+        """
+        full = self._mimo26_full_block
+        if getattr(self, "_selector_sample", None) is not None:
+            return full
+        use_full = False
+        for req in batch.reqs:
+            state = getattr(req, "_mimo26_adaptive", None)
+            verify_ct = int(getattr(req, "spec_verify_ct", 0))
+            correct = int(getattr(req, "spec_num_correct_drafts", 0))
+            if state is None:
+                state = [verify_ct, correct, None, True]
+                req._mimo26_adaptive = state
+            steps = verify_ct - state[0]
+            if steps > 0:
+                rate = (correct - state[1]) / steps
+                ema = state[2]
+                state[2] = rate if ema is None else (1.0 - self._mimo26_alpha) * ema + self._mimo26_alpha * rate
+                state[0], state[1] = verify_ct, correct
+            if state[2] is not None:
+                if state[3] and state[2] < self._mimo26_lo:
+                    state[3] = False
+                elif not state[3] and state[2] >= self._mimo26_hi:
+                    state[3] = True
+            use_full = use_full or state[3]
+        return full if use_full else self._mimo26_widths[0]
 
     def _prewarm_batch_size(self, block_size: int) -> int:
         """Largest batch the non-greedy verify path can see in one step."""
@@ -2234,6 +2295,16 @@ class DFlashWorkerV2(BaseSpecWorker):
         pp_proxy_tensors=None,
     ) -> GenerationBatchResult:
         self._validate_phase1_sampling_support(batch)
+        if getattr(self, "_mimo26_narrow_active", False):
+            # mimo26: undo the previous step's narrow verify width.
+            self.block_size = self._mimo26_full_block
+            self._use_triton_accept_bonus = self._mimo26_saved_triton
+            self._mimo26_narrow_active = False
+        if getattr(self, "_mimo26_default_runner", None) is not None:
+            self.target_worker.model_runner.decode_cuda_graph_runner = (
+                self._mimo26_default_runner
+            )
+            self._mimo26_default_runner = None
 
         if batch.forward_mode.is_extend() or batch.is_extend_in_batch:
             # Target prefill: capture DFlash aux hidden states for prompt tokens.
@@ -2633,6 +2704,29 @@ class DFlashWorkerV2(BaseSpecWorker):
         draft_tokens[:, 0].copy_(block_ids[:, 0])
         draft_tokens[:, 1:].copy_(draft_next)
 
+        # mimo26: adaptive verify width. The draft always proposes a full block;
+        # low-acceptance steps verify only the first k columns, which reads far
+        # fewer MoE expert bytes per step.
+        if getattr(self, "_mimo26_widths", None):
+            verify_width = self._mimo26_choose_width(batch)
+            if verify_width < block_size:
+                draft_tokens = draft_tokens[:, :verify_width].contiguous()
+                positions = positions_2d[:, :verify_width].reshape(-1)
+                verify_out_cache_loc_2d = verify_out_cache_loc_2d[:, :verify_width].contiguous()
+                verify_out_cache_loc = verify_out_cache_loc_2d.reshape(-1)
+                block_size = verify_width
+                self._mimo26_saved_triton = self._use_triton_accept_bonus
+                self._use_triton_accept_bonus = False
+                self.block_size = verify_width
+                self._mimo26_narrow_active = True
+                # Verify planning and replay both read decode_cuda_graph_runner;
+                # point it at the narrow graphs for this step only.
+                target_runner = self.target_worker.model_runner
+                self._mimo26_default_runner = target_runner.decode_cuda_graph_runner
+                target_runner.decode_cuda_graph_runner = (
+                    target_runner.mimo26_alt_verify_runners[verify_width]
+                )
+
         # Must stay ahead of the target verify launch below.
         grammar_tree = (
             GrammarTree.from_linear_chain(draft_tokens) if batch.has_grammar else None
@@ -2697,6 +2791,11 @@ class DFlashWorkerV2(BaseSpecWorker):
             is_verify=True,
             skip_attn_backend_init=True if not _is_npu else None,
         )
+        if getattr(self, "_mimo26_default_runner", None) is not None:
+            self.target_worker.model_runner.decode_cuda_graph_runner = (
+                self._mimo26_default_runner
+            )
+            self._mimo26_default_runner = None
         logits_output = target_out.logits_output
         can_run_cuda_graph = target_out.can_run_cuda_graph
 
diff --git a/python/sglang/srt/speculative/spec_info.py b/python/sglang/srt/speculative/spec_info.py
index 1cb443feb8..c0ae84c1ae 100644
--- a/python/sglang/srt/speculative/spec_info.py
+++ b/python/sglang/srt/speculative/spec_info.py
@@ -510,7 +510,12 @@ def create_dummy_verify_input(
         spec_info = DFlashVerifyInput(
             draft_token=None,
             positions=None,
-            draft_token_num=spec.speculative_num_draft_tokens,
+            # mimo26: a narrower target-verify runner captures with its own width.
+            draft_token_num=(
+                spec.speculative_num_draft_tokens
+                if is_draft_worker
+                else num_tokens_per_req
+            ),
             custom_mask=None,
             capture_hidden_mode=(
                 CaptureHiddenMode.NULL if is_draft_worker else CaptureHiddenMode.FULL