diff --git a/evalharness/cli.py b/evalharness/cli.py
index a45d06d..4ba298a 100644
--- a/evalharness/cli.py
+++ b/evalharness/cli.py
@@ -800,6 +800,9 @@ def _cmd_eval_run(args) -> int:
                         _shared_reporter.owned_externally = True
                     progress_reporter = _shared_reporter
 
+            if getattr(args, 'reasoning_effort', ''):
+                args._gen_override = {**(getattr(args, '_gen_override', {}) or {}),
+                                      'reasoning_effort': args.reasoning_effort}
             if model_spec:  # generate + score in one go
                 from evalharness.model import run_eval
 
@@ -1207,6 +1210,11 @@ def build_parser() -> argparse.ArgumentParser:
                         "profile.default < profile['<bench>'] < explicit kwargs")
     p.add_argument('--disable-thinking', action='store_true',
                    help='send enable_thinking=false to the OpenAI-compatible model')
+    p.add_argument('--reasoning-effort', default='',
+                   choices=('', 'minimal', 'low', 'medium', 'high', 'max'),
+                   help="thinking intensity (GLM/Anthropic-style; verified "
+                        "working on the sglang endpoint: low shrinks reasoning "
+                        "~85%%). Overrides the YAML config")
     p.add_argument('--perf', action='store_true',
                    help='collect streaming TTFT and ITL metrics')
     p.add_argument('--textools', action='store_true',
diff --git a/evalharness/config/effort_low.yaml b/evalharness/config/effort_low.yaml
new file mode 100644
index 0000000..9f274b8
--- /dev/null
+++ b/evalharness/config/effort_low.yaml
@@ -0,0 +1,84 @@
+# 低思考档：全库参数同 default.yaml，仅追加 reasoning_effort: low
+# 用法: evalharness eval run ... --config effort_low
+default:
+  temperature: 0.0
+  top_p: 1.0
+  stream: true
+  max_tokens: 32768
+  reasoning_effort: low
+aime24:
+  temperature: 1.0
+  repeats: 12
+  max_tokens: 8192
+  reasoning_effort: low
+aime25:
+  temperature: 1.0
+  repeats: 12
+  max_tokens: 8192
+  reasoning_effort: low
+aime26:
+  temperature: 1.0
+  repeats: 12
+  max_tokens: 8192
+  reasoning_effort: low
+hmmt26:
+  temperature: 1.0
+  repeats: 12
+  max_tokens: 8192
+  reasoning_effort: low
+imo_answerbench:
+  temperature: 1.0
+  reasoning_effort: low
+gpqa_diamond:
+  temperature: 1.0
+  repeats: 3
+  max_tokens: 8192
+  reasoning_effort: low
+mmlu:
+  max_tokens: 8192
+  reasoning_effort: low
+mmlu_pro:
+  max_tokens: 8192
+  reasoning_effort: low
+cmmlu:
+  max_tokens: 8192
+  reasoning_effort: low
+arc:
+  max_tokens: 8192
+  reasoning_effort: low
+hellaswag:
+  max_tokens: 8192
+  reasoning_effort: low
+winogrande:
+  max_tokens: 8192
+  reasoning_effort: low
+simple_qa:
+  max_tokens: 8192
+  reasoning_effort: low
+trivia_qa:
+  max_tokens: 8192
+  reasoning_effort: low
+humaneval:
+  temperature: 1.0
+  repeats: 3
+  reasoning_effort: low
+live_code_bench:
+  temperature: 1.0
+  reasoning_effort: low
+longbench_v2:
+  max_tokens: 8192
+  max_input_tokens: 128000
+  reasoning_effort: low
+openai_mrcr:
+  max_tokens: 8192
+  max_input_tokens: 128000
+  reasoning_effort: low
+bfcl_v3:
+  max_tokens: 4096
+  reasoning_effort: low
+general_fc:
+  max_tokens: 4096
+  reasoning_effort: low
+tau2_bench:
+  max_tokens: 16384
+  reasoning_effort: low
diff --git a/evalharness/model/adapter.py b/evalharness/model/adapter.py
index 000efc9..078780e 100644
--- a/evalharness/model/adapter.py
+++ b/evalharness/model/adapter.py
@@ -380,7 +380,8 @@ class OpenAICompatible(ModelAdapter):
                 ]
                 payload.pop('chat_template_kwargs', None)
         for k in ('temperature', 'max_tokens', 'top_p', 'stop', 'seed',
-                  'response_format', 'chat_template_kwargs'):
+                  'response_format', 'chat_template_kwargs',
+                  'thinking', 'reasoning_effort'):
             if kw.get(k) is not None:
                 payload[k] = kw[k]
         payload.setdefault('max_tokens', self.extra.get('max_tokens', 4096))  # CoT room