diff --git a/imgs/benchmark-en.png b/imgs/benchmark-en.png
index 608ebf101..ee895e88e 100644
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diff --git a/imgs/benchmark-ja.png b/imgs/benchmark-ja.png
index aef49c0af..bcde4665d 100644
Binary files a/imgs/benchmark-ja.png and b/imgs/benchmark-ja.png differ
diff --git a/imgs/benchmark-ru.png b/imgs/benchmark-ru.png
index e75ffe67a..6a7c6f397 100644
Binary files a/imgs/benchmark-ru.png and b/imgs/benchmark-ru.png differ
diff --git a/imgs/benchmark-zh.png b/imgs/benchmark-zh.png
index ad89eecd5..74ebd1bc0 100644
Binary files a/imgs/benchmark-zh.png and b/imgs/benchmark-zh.png differ
diff --git a/pages/src/components/BenchmarkSection.tsx b/pages/src/components/BenchmarkSection.tsx
index eb33584f3..865dfea4d 100644
--- a/pages/src/components/BenchmarkSection.tsx
+++ b/pages/src/components/BenchmarkSection.tsx
@@ -17,6 +17,7 @@ interface BenchmarkRow {
   provider: string;
   source: string;
   sourceIcon?: string;
+  version: string;
   f1: string;
   f1Value: number;
   precision: string;
@@ -36,19 +37,20 @@ type SortField = 'f1' | 'precision' | 'recall';
 type SortOrder = 'desc' | 'asc';
 
 const rawRows: BenchmarkRow[] = [
-  { model: 'Claude-4.6-Opus', provider: 'Anthropic', source: 'Open Code Review', sourceIcon: ocrSourceIcon, f1: '25.10%', f1Value: 25.10, precision: '33.90%', precisionValue: 33.90, precisionDetail: '301/889', recall: '20.00%', recallValue: 20.00, recallDetail: '301/1505', avgTime: '1m23s', avgToken: '385K', tokenDetail: '375K / 10K', precisionMedal: 1 },
-  { model: 'GLM-5.2', provider: 'Zhipu AI', source: 'Open Code Review', sourceIcon: ocrSourceIcon, f1: '21.30%', f1Value: 21.30, precision: '32.30%', precisionValue: 32.30, precisionDetail: '239/741', recall: '15.90%', recallValue: 15.90, recallDetail: '239/1505', avgTime: '7m58s', avgToken: '682K', tokenDetail: '624K / 58K', precisionMedal: 2 },
-  { model: 'Qwen3.7-Max', provider: 'Alibaba', source: 'Open Code Review', sourceIcon: ocrSourceIcon, f1: '21.20%', f1Value: 21.20, precision: '25.20%', precisionValue: 25.20, precisionDetail: '276/1096', recall: '18.30%', recallValue: 18.30, recallDetail: '276/1505', avgTime: '4m41s', avgToken: '625K', tokenDetail: '587K / 38K' },
-  { model: 'GPT-5.5', provider: 'OpenAI', source: 'Open Code Review', sourceIcon: ocrSourceIcon, f1: '21.00%', f1Value: 21.00, precision: '32.10%', precisionValue: 32.10, precisionDetail: '234/728', recall: '15.50%', recallValue: 15.50, recallDetail: '234/1505', avgTime: '2m51s', avgToken: '422K', tokenDetail: '409K / 13K' },
-  { model: 'GLM-5.1', provider: 'Zhipu AI', source: 'Open Code Review', sourceIcon: ocrSourceIcon, f1: '20.40%', f1Value: 20.40, precision: '28.90%', precisionValue: 28.90, precisionDetail: '237/820', recall: '15.70%', recallValue: 15.70, recallDetail: '237/1505', avgTime: '4m11s', avgToken: '743K', tokenDetail: '707K / 36K' },
-  { model: 'Claude-4.8-Opus', provider: 'Anthropic', source: 'Open Code Review', sourceIcon: ocrSourceIcon, f1: '17.90%', f1Value: 17.90, precision: '37.80%', precisionValue: 37.80, precisionDetail: '176/465', recall: '11.70%', recallValue: 11.70, recallDetail: '176/1505', avgTime: '1m6s', avgToken: '352K', tokenDetail: '342K / 11K', precisionMedal: 0 },
-  { model: 'Deepseek-V4-Pro', provider: 'DeepSeek', source: 'Open Code Review', sourceIcon: ocrSourceIcon, f1: '17.90%', f1Value: 17.90, precision: '30.60%', precisionValue: 30.60, precisionDetail: '191/624', recall: '12.70%', recallValue: 12.70, recallDetail: '191/1505', avgTime: '6m28s', avgToken: '394K', tokenDetail: '350K / 44K' },
-  { model: 'Claude-4.8-Opus', provider: 'Anthropic', source: 'Claude Code', sourceIcon: claudeCodeIcon, f1: '14.13%', f1Value: 14.13, precision: '15.93%', precisionValue: 15.93, precisionDetail: '191/1200', recall: '12.70%', recallValue: 12.70, recallDetail: '191/1505', avgTime: '5m38s', avgToken: '2,062K', tokenDetail: '2,039K / 23K' },
-  { model: 'Qwen3.7-Max', provider: 'Alibaba', source: 'Claude Code', sourceIcon: claudeCodeIcon, f1: '12.17%', f1Value: 12.17, precision: '8.23%', precisionValue: 8.23, precisionDetail: '351/4260', recall: '23.37%', recallValue: 23.37, recallDetail: '351/1505', avgTime: '8m6s', avgToken: '5,153K', tokenDetail: '5,108K / 44K', recallMedal: 1 },
-  { model: 'GLM-5.1', provider: 'Zhipu AI', source: 'Claude Code', sourceIcon: claudeCodeIcon, f1: '11.93%', f1Value: 11.93, precision: '8.37%', precisionValue: 8.37, precisionDetail: '313/3742', recall: '20.80%', recallValue: 20.80, recallDetail: '313/1505', avgTime: '14m10s', avgToken: '4,038K', tokenDetail: '3,998K / 39K', recallMedal: 2 },
-  { model: 'Claude-4.6-Opus', provider: 'Anthropic', source: 'Claude Code', sourceIcon: claudeCodeIcon, f1: '11.57%', f1Value: 11.57, precision: '7.23%', precisionValue: 7.23, precisionDetail: '435/5980', recall: '28.90%', recallValue: 28.90, recallDetail: '435/1505', avgTime: '13m6s', avgToken: '5,664K', tokenDetail: '5,603K / 60K', recallMedal: 0 },
-  { model: 'Deepseek-V4-Pro', provider: 'DeepSeek', source: 'Claude Code', sourceIcon: claudeCodeIcon, f1: '10.93%', f1Value: 10.93, precision: '8.27%', precisionValue: 8.27, precisionDetail: '243/2945', recall: '16.13%', recallValue: 16.13, recallDetail: '243/1505', avgTime: '14m24s', avgToken: '5,450K', tokenDetail: '5,389K / 60K' },
-  { model: 'GPT-5.5', provider: 'OpenAI', source: 'Codex', sourceIcon: codexIcon, f1: '8.36%', f1Value: 8.36, precision: '27.82%', precisionValue: 27.82, precisionDetail: '74/266', recall: '4.92%', recallValue: 4.92, recallDetail: '74/1505', avgTime: '2m58s', avgToken: '525K', tokenDetail: '520K / 5K' },
+  { model: 'Claude-4.6-Opus', provider: 'Anthropic', source: 'Open Code Review', sourceIcon: ocrSourceIcon, version: 'v1.3.1', f1: '25.10%', f1Value: 25.10, precision: '33.90%', precisionValue: 33.90, precisionDetail: '301/889', recall: '20.00%', recallValue: 20.00, recallDetail: '301/1505', avgTime: '1m23s', avgToken: '385K', tokenDetail: '375K / 10K', precisionMedal: 1 },
+  { model: 'Qwen3.8-Max', provider: 'Alibaba', source: 'Open Code Review', sourceIcon: ocrSourceIcon, version: 'v1.8.7', f1: '23.00%', f1Value: 23.00, precision: '33.90%', precisionValue: 33.90, precisionDetail: '262/774', recall: '17.40%', recallValue: 17.40, recallDetail: '262/1505', avgTime: '5m14s', avgToken: '334K', tokenDetail: '303K / 32K', precisionMedal: 1 },
+  { model: 'GLM-5.2', provider: 'Zhipu AI', source: 'Open Code Review', sourceIcon: ocrSourceIcon, version: 'v1.3.1', f1: '21.30%', f1Value: 21.30, precision: '32.30%', precisionValue: 32.30, precisionDetail: '239/741', recall: '15.90%', recallValue: 15.90, recallDetail: '239/1505', avgTime: '7m58s', avgToken: '682K', tokenDetail: '624K / 58K', precisionMedal: 2 },
+  { model: 'Qwen3.7-Max', provider: 'Alibaba', source: 'Open Code Review', sourceIcon: ocrSourceIcon, version: 'v1.3.1', f1: '21.20%', f1Value: 21.20, precision: '25.20%', precisionValue: 25.20, precisionDetail: '276/1096', recall: '18.30%', recallValue: 18.30, recallDetail: '276/1505', avgTime: '4m41s', avgToken: '625K', tokenDetail: '587K / 38K' },
+  { model: 'GPT-5.5', provider: 'OpenAI', source: 'Open Code Review', sourceIcon: ocrSourceIcon, version: 'v1.3.1', f1: '21.00%', f1Value: 21.00, precision: '32.10%', precisionValue: 32.10, precisionDetail: '234/728', recall: '15.50%', recallValue: 15.50, recallDetail: '234/1505', avgTime: '2m51s', avgToken: '422K', tokenDetail: '409K / 13K' },
+  { model: 'GLM-5.1', provider: 'Zhipu AI', source: 'Open Code Review', sourceIcon: ocrSourceIcon, version: 'v1.3.1', f1: '20.40%', f1Value: 20.40, precision: '28.90%', precisionValue: 28.90, precisionDetail: '237/820', recall: '15.70%', recallValue: 15.70, recallDetail: '237/1505', avgTime: '4m11s', avgToken: '743K', tokenDetail: '707K / 36K' },
+  { model: 'Claude-4.8-Opus', provider: 'Anthropic', source: 'Open Code Review', sourceIcon: ocrSourceIcon, version: 'v1.3.1', f1: '17.90%', f1Value: 17.90, precision: '37.80%', precisionValue: 37.80, precisionDetail: '176/465', recall: '11.70%', recallValue: 11.70, recallDetail: '176/1505', avgTime: '1m6s', avgToken: '352K', tokenDetail: '342K / 11K', precisionMedal: 0 },
+  { model: 'Deepseek-V4-Pro', provider: 'DeepSeek', source: 'Open Code Review', sourceIcon: ocrSourceIcon, version: 'v1.3.1', f1: '17.90%', f1Value: 17.90, precision: '30.60%', precisionValue: 30.60, precisionDetail: '191/624', recall: '12.70%', recallValue: 12.70, recallDetail: '191/1505', avgTime: '6m28s', avgToken: '394K', tokenDetail: '350K / 44K' },
+  { model: 'Claude-4.8-Opus', provider: 'Anthropic', source: 'Claude Code', sourceIcon: claudeCodeIcon, version: 'v2.1.169', f1: '14.13%', f1Value: 14.13, precision: '15.93%', precisionValue: 15.93, precisionDetail: '191/1200', recall: '12.70%', recallValue: 12.70, recallDetail: '191/1505', avgTime: '5m38s', avgToken: '2,062K', tokenDetail: '2,039K / 23K' },
+  { model: 'Qwen3.7-Max', provider: 'Alibaba', source: 'Claude Code', sourceIcon: claudeCodeIcon, version: 'v2.1.169', f1: '12.17%', f1Value: 12.17, precision: '8.23%', precisionValue: 8.23, precisionDetail: '351/4260', recall: '23.37%', recallValue: 23.37, recallDetail: '351/1505', avgTime: '8m6s', avgToken: '5,153K', tokenDetail: '5,108K / 44K', recallMedal: 1 },
+  { model: 'GLM-5.1', provider: 'Zhipu AI', source: 'Claude Code', sourceIcon: claudeCodeIcon, version: 'v2.1.169', f1: '11.93%', f1Value: 11.93, precision: '8.37%', precisionValue: 8.37, precisionDetail: '313/3742', recall: '20.80%', recallValue: 20.80, recallDetail: '313/1505', avgTime: '14m10s', avgToken: '4,038K', tokenDetail: '3,998K / 39K', recallMedal: 2 },
+  { model: 'Claude-4.6-Opus', provider: 'Anthropic', source: 'Claude Code', sourceIcon: claudeCodeIcon, version: 'v2.1.169', f1: '11.57%', f1Value: 11.57, precision: '7.23%', precisionValue: 7.23, precisionDetail: '435/5980', recall: '28.90%', recallValue: 28.90, recallDetail: '435/1505', avgTime: '13m6s', avgToken: '5,664K', tokenDetail: '5,603K / 60K', recallMedal: 0 },
+  { model: 'Deepseek-V4-Pro', provider: 'DeepSeek', source: 'Claude Code', sourceIcon: claudeCodeIcon, version: 'v2.1.169', f1: '10.93%', f1Value: 10.93, precision: '8.27%', precisionValue: 8.27, precisionDetail: '243/2945', recall: '16.13%', recallValue: 16.13, recallDetail: '243/1505', avgTime: '14m24s', avgToken: '5,450K', tokenDetail: '5,389K / 60K' },
+  { model: 'GPT-5.5', provider: 'OpenAI', source: 'Codex', sourceIcon: codexIcon, version: 'v0.140.0', f1: '8.36%', f1Value: 8.36, precision: '27.82%', precisionValue: 27.82, precisionDetail: '74/266', recall: '4.92%', recallValue: 4.92, recallDetail: '74/1505', avgTime: '2m58s', avgToken: '525K', tokenDetail: '520K / 5K' },
 ];
 
 const MEDAL_RANKS = ['🥇', '🥈', '🥉'];
@@ -204,9 +206,12 @@ const BenchmarkSection: React.FC = () => {
                   <span style={{ color: 'rgba(255,255,255,0.4)', fontSize: 12 }}>{row.provider}</span>
                 </div>
                 {/* Source */}
-                <div style={{ width: 200, padding: '10px 12px', display: 'flex', alignItems: 'center', gap: 4 }}>
-                  {row.sourceIcon && <img src={row.sourceIcon} alt="" style={{ width: 20, height: 20 }} />}
-                  <span style={{ color: 'rgba(255,255,255,0.7)', fontSize: 13 }}>{row.source}</span>
+                <div style={{ width: 200, padding: '10px 12px', display: 'flex', flexDirection: 'column' }}>
+                  <div style={{ display: 'flex', alignItems: 'center', gap: 4 }}>
+                    {row.sourceIcon && <img src={row.sourceIcon} alt="" style={{ width: 20, height: 20 }} />}
+                    <span style={{ color: 'rgba(255,255,255,0.7)', fontSize: 13 }}>{row.source}</span>
+                  </div>
+                  <span style={{ color: 'rgba(255,255,255,0.4)', fontSize: 11, marginLeft: 24 }}>{row.version}</span>
                 </div>
                 {/* F1 */}
                 <div style={{ flex: 1, padding: '10px 12px' }}>
@@ -247,11 +252,6 @@ const BenchmarkSection: React.FC = () => {
             );
           })}
         </div>
-
-        {/* Footer note */}
-        <p style={{ color: 'rgba(255,255,255,0.3)', fontSize: 12, textAlign: 'center', margin: 0, marginTop: -24 }}>
-          Open Code Review · v1.3.1 ｜ Claude Code · v2.1.169 · /code-review ｜ Codex · v0.140.0 · /review
-        </p>
       </div>
     </section>
   );