diff --git a/src/data/mockData.ts b/src/data/mockData.ts
index 1a016ff..fc8e215 100644
--- a/src/data/mockData.ts
+++ b/src/data/mockData.ts
@@ -76,121 +76,147 @@ const calculateAverageScore = (metrics: {
 
 const rawRouterData = [
   {
-    'Router Name': 'RouterDC',
-    'Arena Score': 33.75,
-    'Optimal Selection Score': 39.84,
-    'Optimal Cost Score': 72.998,
-    'Optimal Acc. Score': 49.05,
-    'Robustness Score': 97.6,
-    'Latency Score': 10.7527,
+    "Router Name": "RouterDC",
+    "Arena Score": 33.75,
+    "Optimal Selection Score": 39.84,
+    "Optimal Cost Score": 72.998,
+    "Optimal Acc. Score": 49.05,
+    "Robustness Score": 97.6,
+    "Latency Score": 10.7527,
+    "Accuracy": 32.01,
+    "Cost per 1k": 0.07
   },
   {
-    'Router Name': 'azure',
-    'Arena Score': 66.66,
-    'Optimal Selection Score': 22.52,
-    'Optimal Cost Score': 46.322,
-    'Optimal Acc. Score': 81.96,
-    'Robustness Score': null,
-    'Latency Score': null,
+    "Router Name": "azure",
+    "Arena Score": 66.66,
+    "Optimal Selection Score": 22.52,
+    "Optimal Cost Score": 46.322,
+    "Optimal Acc. Score": 81.96,
+    "Robustness Score": null,
+    "Latency Score": null,
+    "Accuracy": 68.09,
+    "Cost per 1k": 0.54
   },
   {
-    'Router Name': 'carrot',
-    'Arena Score': 63.87,
-    'Optimal Selection Score': 2.68,
-    'Optimal Cost Score': 6.7697,
-    'Optimal Acc. Score': 78.63,
-    'Robustness Score': 93.6,
-    'Latency Score': 1.4993,
+    "Router Name": "carrot",
+    "Arena Score": 63.87,
+    "Optimal Selection Score": 2.68,
+    "Optimal Cost Score": 6.7697,
+    "Optimal Acc. Score": 78.63,
+    "Robustness Score": 93.6,
+    "Latency Score": 1.4993,
+    "Accuracy": 67.21,
+    "Cost per 1k": 2.06
   },
   {
-    'Router Name': 'gpt5',
-    'Arena Score': 64.32,
-    'Optimal Selection Score': null,
-    'Optimal Cost Score': null,
-    'Optimal Acc. Score': null,
-    'Robustness Score': null,
-    'Latency Score': null,
+    "Router Name": "gpt5",
+    "Arena Score": 64.32,
+    "Optimal Selection Score": null,
+    "Optimal Cost Score": null,
+    "Optimal Acc. Score": null,
+    "Robustness Score": null,
+    "Latency Score": null,
+    "Accuracy": 73.96,
+    "Cost per 1k": 10.02
   },
   {
-    'Router Name': 'graphrouter',
-    'Arena Score': 57.22,
-    'Optimal Selection Score': 4.73,
-    'Optimal Cost Score': 38.3347,
-    'Optimal Acc. Score': 74.25,
-    'Robustness Score': 97.5,
-    'Latency Score': 2.6954,
+    "Router Name": "graphrouter",
+    "Arena Score": 57.22,
+    "Optimal Selection Score": 4.73,
+    "Optimal Cost Score": 38.3347,
+    "Optimal Acc. Score": 74.25,
+    "Robustness Score": 97.5,
+    "Latency Score": 2.6954,
+    "Accuracy": 57.00,
+    "Cost per 1k": 0.34
   },
   {
-    'Router Name': 'mirt_bert',
-    'Arena Score': 66.89,
-    'Optimal Selection Score': 3.44,
-    'Optimal Cost Score': 19.6178,
-    'Optimal Acc. Score': 78.18,
-    'Robustness Score': 94.5,
-    'Latency Score': 27.027,
+    "Router Name": "mirt_bert",
+    "Arena Score": 66.89,
+    "Optimal Selection Score": 3.44,
+    "Optimal Cost Score": 19.6178,
+    "Optimal Acc. Score": 78.18,
+    "Robustness Score": 94.5,
+    "Latency Score": 27.027,
+    "Accuracy": 66.88,
+    "Cost per 1k": 0.15
   },
   {
-    'Router Name': 'nirt_bert',
-    'Arena Score': 66.12,
-    'Optimal Selection Score': 3.83,
-    'Optimal Cost Score': 14.039,
-    'Optimal Acc. Score': 77.88,
-    'Robustness Score': 44.5,
-    'Latency Score': 10.4167,
+    "Router Name": "nirt_bert",
+    "Arena Score": 66.12,
+    "Optimal Selection Score": 3.83,
+    "Optimal Cost Score": 14.039,
+    "Optimal Acc. Score": 77.88,
+    "Robustness Score": 44.5,
+    "Latency Score": 10.4167,
+    "Accuracy": 66.34,
+    "Cost per 1k": 0.21
   },
   {
-    'Router Name': 'notdiamond',
-    'Arena Score': 63.0,
-    'Optimal Selection Score': 1.55,
-    'Optimal Cost Score': 2.1367,
-    'Optimal Acc. Score': 76.81,
-    'Robustness Score': null,
-    'Latency Score': null,
+    "Router Name": "notdiamond",
+    "Arena Score": 63.0,
+    "Optimal Selection Score": 1.55,
+    "Optimal Cost Score": 2.1367,
+    "Optimal Acc. Score": 76.81,
+    "Robustness Score": null,
+    "Latency Score": null,
+    "Accuracy": 60.83,
+    "Cost per 1k": 4.10
   },
   {
-    'Router Name': 'routellm',
-    'Arena Score': 48.07,
-    'Optimal Selection Score': 99.72,
-    'Optimal Cost Score': 99.6314,
-    'Optimal Acc. Score': 68.76,
-    'Robustness Score': 99.8,
-    'Latency Score': 0.4016,
+    "Router Name": "routellm",
+    "Arena Score": 48.07,
+    "Optimal Selection Score": 99.72,
+    "Optimal Cost Score": 99.6314,
+    "Optimal Acc. Score": 68.76,
+    "Robustness Score": 99.8,
+    "Latency Score": 0.4016,
+    "Accuracy": 47.04,
+    "Cost per 1k": 0.27
   },
   {
-    'Router Name': 'routerbench_knn',
-    'Arena Score': 55.48,
-    'Optimal Selection Score': 13.09,
-    'Optimal Cost Score': 25.4887,
-    'Optimal Acc. Score': 78.77,
-    'Robustness Score': 51.3,
-    'Latency Score': 1.328,
+    "Router Name": "routerbench_knn",
+    "Arena Score": 55.48,
+    "Optimal Selection Score": 13.09,
+    "Optimal Cost Score": 25.4887,
+    "Optimal Acc. Score": 78.77,
+    "Robustness Score": 51.3,
+    "Latency Score": 1.328,
+    "Accuracy": 58.69,
+    "Cost per 1k": 4.27
   },
   {
-    'Router Name': 'routerbench_mlp',
-    'Arena Score': 57.56,
-    'Optimal Selection Score': 13.39,
-    'Optimal Cost Score': 24.4499,
-    'Optimal Acc. Score': 83.32,
-    'Robustness Score': 96.9,
-    'Latency Score': 90.9091,
+    "Router Name": "routerbench_mlp",
+    "Arena Score": 57.56,
+    "Optimal Selection Score": 13.39,
+    "Optimal Cost Score": 24.4499,
+    "Optimal Acc. Score": 83.32,
+    "Robustness Score": 96.9,
+    "Latency Score": 90.9091,
+    "Accuracy": 61.62,
+    "Cost per 1k": 4.83
   },
   {
-    'Router Name': 'vllm',
-    'Arena Score': 64.32,
-    'Optimal Selection Score': 4.79,
-    'Optimal Cost Score': 12.5426,
-    'Optimal Acc. Score': 79.33,
-    'Robustness Score': 100.0,
-    'Latency Score': 0.1863,
+    "Router Name": "vllm",
+    "Arena Score": 64.32,
+    "Optimal Selection Score": 4.79,
+    "Optimal Cost Score": 12.5426,
+    "Optimal Acc. Score": 79.33,
+    "Robustness Score": 100.0,
+    "Latency Score": 0.1863,
+    "Accuracy": 67.28,
+    "Cost per 1k": 1.67
   },
   {
-    'Router Name': 'chayan',
-    'Arena Score': 63.83,
-    'Optimal Selection Score': 43.03,
-    'Optimal Cost Score': 43.75,
-    'Optimal Acc. Score': 88.74,
-    'Robustness Score': null,
-    'Latency Score': null,
+    "Router Name": "chayan",
+    "Arena Score": 63.83,
+    "Optimal Selection Score": 43.03,
+    "Optimal Cost Score": 43.75,
+    "Optimal Acc. Score": 88.74,
+    "Robustness Score": null,
+    "Latency Score": null,
+    "Accuracy": 64.89,
+    "Cost per 1k": 0.56
   }
 ];
 
@@ -319,7 +345,7 @@ const routerMetadata: Record<
     name: 'Chayan',
     type: 'open-source',
     description: 'Chayan-based routing service',
-    affiliation: 'Adaptive Classifier',
+    affiliation: 'Adaptive Classifier ',
     modelPool: ['GPT-4', 'GPT-3.5'],
     paperUrl: 'https://arxiv.org/abs/2024.xxxxx',
     githubUrl: 'https://huggingface.co/adaptive-classifier/chayan',
@@ -344,6 +370,8 @@ const routersWithRanks = rawRouterData.map(router => {
     optimalAccScore: roundNullableToOneDecimal(router['Optimal Acc. Score']),
     robustnessScore: roundNullableToOneDecimal(router['Robustness Score']),
     latencyScore: roundNullableToOneDecimal(router['Latency Score']),
+    accuracy: roundToOneDecimal(router['Accuracy']),
+    costPer1k: roundToOneDecimal(router['Cost per 1k']),
     overallRank: 0, // Will be calculated below
   };
 
diff --git a/src/pages/LeaderboardPage.css b/src/pages/LeaderboardPage.css
index 13be73d..dc1634d 100644
--- a/src/pages/LeaderboardPage.css
+++ b/src/pages/LeaderboardPage.css
@@ -5,7 +5,7 @@
 }
 
 .container {
-  max-width: 1400px;
+  max-width: 2000px;
   margin: 0 auto;
   padding: 0 1rem;
 }
@@ -165,16 +165,18 @@
 
 :root {
   --lb-grid:
-    minmax(0, 0.6fr)   /* Rank */
+    minmax(0, 0.7fr)   /* Rank */
     minmax(0, 1.5fr)   /* Name */
-    minmax(0, 1.4fr)   /* Affiliation */
-    minmax(0, 1.1fr)   /* Type */
-    minmax(0, 0.8fr)
-    minmax(0, 0.8fr)
-    minmax(0, 0.8fr)
-    minmax(0, 0.8fr)
-    minmax(0, 0.8fr)
-    minmax(0, 0.8fr);
+    minmax(0, 1.3fr)   /* Affiliation */
+    minmax(0, 1.6fr)   /* Type */
+    minmax(0, 0.9fr)   /* Arena */
+    minmax(0, 1fr)   /* Accuracy */
+    minmax(0, 0.9fr)  /* Cost/1k */
+    minmax(0, 1.1fr)   /* Opt. Select */
+    minmax(0, 0.9fr)   /* Opt. Cost */
+    minmax(0, 0.9fr)   /* Opt. Acc */
+    minmax(0, 0.9fr)   /* Latency */
+    minmax(0, 0.9fr)   /* Robust */
 }
 
 
@@ -667,22 +669,7 @@
   width: 100%;
 }
 
-/* Responsive Design */
-@media (max-width: 1400px) {
-  .leaderboard-container {
-    min-width: 1000px;
-  }
 
-  .leaderboard-header,
-  .leaderboard-row {
-    gap: 0.75rem;
-  }
-
-  .viz-tab {
-    font-size: 0.9rem;
-    padding: 0.875rem 1.5rem;
-  }
-}
 
 @media (max-width: 768px) {
   .leaderboard-header,
@@ -785,7 +772,6 @@
   grid-template-columns: var(--lb-grid) !important;
   gap: 0.5rem !important;
   padding: 0 !important;
-  width: 100%;
   box-sizing: border-box;
   column-gap: 0.5rem !important;
   justify-items: stretch;
diff --git a/src/pages/LeaderboardPage.tsx b/src/pages/LeaderboardPage.tsx
index 5244ed7..64af75f 100644
--- a/src/pages/LeaderboardPage.tsx
+++ b/src/pages/LeaderboardPage.tsx
@@ -12,7 +12,7 @@ const LeaderboardPage: React.FC = () => {
   const [searchTerm, setSearchTerm] = useState('');
   const [filterType, setFilterType] = useState<'all' | 'open-source' | 'closed-source'>('all');
   const [activeMetric, setActiveMetric] = useState<
-    'arena' | 'optimalSelection' | 'optimalCost' | 'optimalAcc' | 'latency' | 'robustness'
+    'arena' | 'accuracy' | 'cost' | 'optimalSelection' | 'optimalCost' | 'optimalAcc' | 'latency' | 'robustness'
   >('arena');
   const [activeTab, setActiveTab] = useState<'spider' | 'deferral'>('spider');
 
@@ -54,6 +54,8 @@ const LeaderboardPage: React.FC = () => {
       optimalAcc: 'optimalAccScore',
       latency: 'latencyScore',
       robustness: 'robustnessScore',
+      accuracy: 'accuracy',
+      cost: 'costPer1k',
     } as const;
 
     let filtered = routers.filter(router => {
@@ -72,7 +74,12 @@ const LeaderboardPage: React.FC = () => {
       if (scoreA === null && scoreB === null) return 0;
       if (scoreA === null) return 1;
       if (scoreB === null) return -1;
-      return scoreB - scoreA;
+      // For cost, lower is better, so sort ascending
+      if (activeMetric === 'cost') {
+        return (scoreA as number) - (scoreB as number);
+      }
+      // For all other metrics, higher is better, so sort descending
+      return (scoreB as number) - (scoreA as number);
     });
   }, [searchTerm, filterType, activeMetric]);
 
@@ -131,23 +138,35 @@ const LeaderboardPage: React.FC = () => {
             Arena Score
           </button>
 
+          <button
+            className={`metric-filter-btn ${activeMetric === 'accuracy' ? 'active' : ''}`}
+            onClick={() => setActiveMetric('accuracy')}
+          >
+            Accuracy
+          </button>
+          <button
+            className={`metric-filter-btn ${activeMetric === 'cost' ? 'active' : ''}`}
+            onClick={() => setActiveMetric('cost')}
+          >
+            Cost/1k Queries
+          </button>
           <button
             className={`metric-filter-btn ${activeMetric === 'optimalSelection' ? 'active' : ''}`}
             onClick={() => setActiveMetric('optimalSelection')}
           >
-            Optimal Selection
+            Opt. Selection
           </button>
           <button
             className={`metric-filter-btn ${activeMetric === 'optimalCost' ? 'active' : ''}`}
             onClick={() => setActiveMetric('optimalCost')}
           >
-            Optimal Cost
+            Opt. Cost
           </button>
           <button
             className={`metric-filter-btn ${activeMetric === 'optimalAcc' ? 'active' : ''}`}
             onClick={() => setActiveMetric('optimalAcc')}
           >
-            Optimal Acc
+            Opt. Acc.
           </button>
           <button
             className={`metric-filter-btn ${activeMetric === 'latency' ? 'active' : ''}`}
@@ -199,6 +218,8 @@ const LeaderboardPage: React.FC = () => {
             <div className="affiliation-col">Affiliation</div>
             <div className="type-col">Type</div>
             <div className="metrics-col">Arena</div>
+            <div className="metrics-col">Accuracy</div>
+            <div className="metrics-col">Cost/1K</div>
             <div className="metrics-col">Opt. Select</div>
             <div className="metrics-col">Opt. Cost</div>
             <div className="metrics-col">Opt. Acc</div>
@@ -231,6 +252,18 @@ const LeaderboardPage: React.FC = () => {
                   </div>
                 </div>
 
+                <div className="metrics-col">
+                  <div className="metric-value">
+                    <span className="score">{router.metrics.accuracy.toFixed(1)}</span>
+                  </div>
+                </div>
+
+                <div className="metrics-col">
+                  <div className="metric-value">
+                    <span className="score">${router.metrics.costPer1k.toFixed(2)}</span>
+                  </div>
+                </div>
+
                 <div className="metrics-col">
                   <div className="metric-value">
                     <span className="score">
@@ -280,6 +313,7 @@ const LeaderboardPage: React.FC = () => {
                     </span>
                   </div>
                 </div>
+
               </div>
             ))}
           </div>
@@ -364,6 +398,46 @@ const LeaderboardPage: React.FC = () => {
               </div>
             </div>
 
+            <div className="metric-card">
+              <div className="metric-summary">
+                <h3>Accuracy Score</h3>
+                <p> The average correctness across all of our dataset's queries.</p>
+              </div>
+
+              <div className="metric-details">
+                <h4>Definition</h4>
+                <p>
+                We calculate accuracy as the average correctness of the answers generated by the router's selected models across all of our dataset's queries
+                </p>
+
+
+                <p>
+                  <strong>Range:</strong> [0, 100]
+                </p>
+              </div>
+            </div>
+
+            <div className="metric-card">
+              <div className="metric-summary">
+                <h3>Cost/1K Queries</h3>
+                <p>Measures the cost incurred by a router’s routing decisions per 1000 queries.</p>
+              </div>
+
+              <div className="metric-details">
+                <h4>Definition</h4>
+                <p>
+                This is the average token cost incurred by the router's selected models for 1000 queries from our dataset.
+                <br />
+                We obtain the per-token cost for the specific models a router
+chooses using the official API pricing published by their providers. For unpopular models that are not served by commercial providers, we deploy them ourselves for experiments.
+In such cases, we approximate their costs using the pricing tiers published by commercial hosting
+platforms.
+                </p>
+
+              </div>
+            </div>
+
+
             {/* 2️⃣ Optimal Selection Score */}
             <div className="metric-card">
               <div className="metric-summary">
diff --git a/src/types/index.ts b/src/types/index.ts
index 00dbe96..cafbbf5 100644
--- a/src/types/index.ts
+++ b/src/types/index.ts
@@ -11,6 +11,8 @@ export interface Router {
     optimalAccScore: number | null;
     robustnessScore: number | null;
     latencyScore: number | null;
+    accuracy: number;
+    costPer1k: number;
     overallRank: number;
   };
   modelPool: string[];