diff --git a/python/sglang/jit_kernel/csrc/ngram_corpus/ngram.cpp b/python/sglang/jit_kernel/csrc/ngram_corpus/ngram.cpp
index 5644b13e6..f4c234268 100644
--- a/python/sglang/jit_kernel/csrc/ngram_corpus/ngram.cpp
+++ b/python/sglang/jit_kernel/csrc/ngram_corpus/ngram.cpp
@@ -139,35 +139,6 @@ void Ngram::insertWorker() {
   }
 }
 
-Result Ngram::batchMatch(const std::vector<std::vector<int32_t>>& tokens) {
-  std::unique_lock<std::mutex> lock(mutex_);
-
-  using BuildFn = Result (Trie::*)(const int32_t*, size_t, int32_t, size_t, const Param&, MatchState&, size_t) const;
-  BuildFn build_fn;
-  if (param_.match_type == "BFS") {
-    build_fn = &Trie::buildRecency;
-  } else if (param_.match_type == "PROB") {
-    build_fn = &Trie::buildFrequency;
-  } else {
-    throw std::runtime_error("Unknown match_type: '" + param_.match_type + "'. Must be 'BFS' or 'PROB'.");
-  }
-
-  Result merged;
-  for (size_t i = 0; i < tokens.size(); ++i) {
-    const auto& suffix = tokens[i];
-    if (suffix.empty()) {
-      throw std::runtime_error("batchMatch received an empty token tail");
-    }
-    MatchState temp_state;
-    auto draft_token_num = param_.get_draft_token_num(tokens.size());
-    auto res = (trie_.get()->*build_fn)(
-        suffix.data(), suffix.size(), suffix.back(), draft_token_num, param_, temp_state, suffix.size());
-    merged.token.insert(merged.token.end(), res.token.begin(), res.token.end());
-    merged.mask.insert(merged.mask.end(), res.mask.begin(), res.mask.end());
-  }
-  return merged;
-}
-
 Result Ngram::batchMatch(
     const std::vector<int64_t>& state_ids,
     const std::vector<std::vector<int32_t>>& tokens,
diff --git a/python/sglang/jit_kernel/csrc/ngram_corpus/ngram.h b/python/sglang/jit_kernel/csrc/ngram_corpus/ngram.h
index 43c0b5915..72d972306 100644
--- a/python/sglang/jit_kernel/csrc/ngram_corpus/ngram.h
+++ b/python/sglang/jit_kernel/csrc/ngram_corpus/ngram.h
@@ -61,8 +61,6 @@ class Ngram {
 
   std::vector<std::pair<std::string, int64_t>> listExternalCorpora() const;
 
-  Result batchMatch(const std::vector<std::vector<int32_t>>& tokens);
-
   Result batchMatch(
       const std::vector<int64_t>& state_ids,
       const std::vector<std::vector<int32_t>>& tokens,
diff --git a/python/sglang/jit_kernel/csrc/ngram_corpus/ngram_corpus_ffi.cpp b/python/sglang/jit_kernel/csrc/ngram_corpus/ngram_corpus_ffi.cpp
index be059e419..7e6163874 100644
--- a/python/sglang/jit_kernel/csrc/ngram_corpus/ngram_corpus_ffi.cpp
+++ b/python/sglang/jit_kernel/csrc/ngram_corpus/ngram_corpus_ffi.cpp
@@ -51,24 +51,6 @@ struct NgramCorpusObj : public tvm::ffi::Object {
     ngram_->asyncInsert(std::move(tokens));
   }
 
-  void batch_match(
-      const tvm::ffi::TensorView tokens_flat,
-      const tvm::ffi::TensorView offsets,
-      const tvm::ffi::TensorView out_tokens,
-      const tvm::ffi::TensorView out_mask) {
-    auto* data = static_cast<const int32_t*>(tokens_flat.data_ptr());
-    auto* offs = static_cast<const int64_t*>(offsets.data_ptr());
-    int64_t batch_size = offsets.size(0) - 1;
-
-    std::vector<std::vector<int32_t>> tokens(batch_size);
-    for (int64_t i = 0; i < batch_size; ++i) {
-      tokens[i].assign(data + offs[i], data + offs[i + 1]);
-    }
-
-    auto result = ngram_->batchMatch(tokens);
-    write_result_(result, out_tokens, out_mask);
-  }
-
   void batch_match_stateful(
       const tvm::ffi::TensorView state_ids_tv,
       const tvm::ffi::TensorView tokens_flat,
@@ -173,7 +155,6 @@ void register_ngram_corpus() {
   refl::ObjectDef<NgramCorpusObj>()
       .def(refl::init<int64_t, int64_t, int64_t, int64_t, int64_t, int64_t, int64_t, int64_t>(), "__init__")
       .def("async_insert", &NgramCorpusObj::async_insert)
-      .def("batch_match", &NgramCorpusObj::batch_match)
       .def("batch_match_stateful", &NgramCorpusObj::batch_match_stateful)
       .def("erase_match_state", &NgramCorpusObj::erase_match_state)
       .def("start_external_corpus_load", &NgramCorpusObj::start_external_corpus_load)
diff --git a/python/sglang/jit_kernel/ngram_corpus.py b/python/sglang/jit_kernel/ngram_corpus.py
index da0d56a89..d2121417c 100644
--- a/python/sglang/jit_kernel/ngram_corpus.py
+++ b/python/sglang/jit_kernel/ngram_corpus.py
@@ -74,23 +74,6 @@ def get_ngram_corpus_cls():
             tokens_flat, offsets = _to_csr(batch_tokens)
             self.async_insert(tokens_flat, offsets)  # type: ignore
 
-        def match(
-            self,
-            batch_tokens: List[List[int]],
-        ) -> Tuple[np.ndarray, np.ndarray]:
-            tokens_flat, offsets = _to_csr(batch_tokens)
-            batch_size = len(batch_tokens)
-            d = self._draft_token_num
-
-            out_tokens = torch.zeros(batch_size * d, dtype=torch.int32)
-            out_mask = torch.zeros(batch_size * d * d, dtype=torch.uint8)
-
-            self.batch_match(tokens_flat, offsets, out_tokens, out_mask)  # type: ignore
-
-            return out_tokens.numpy().astype(np.int64), out_mask.numpy().astype(
-                np.int64
-            )
-
         def match_stateful(
             self,
             state_ids: List[int],