diff --git a/.gitignore b/.gitignore
index 370ac640..538786a4 100644
--- a/.gitignore
+++ b/.gitignore
@@ -37,6 +37,10 @@ yarn-error.log*
 # typescript
 *.tsbuildinfo
 
-# Large model weights - hosted on GitHub Releases, not committed to the repo
+# Large model weights
 /public/maia2/*.onnx
 /public/stockfish/*.nnue
+
+# Maia3 training code and checkpoints
+/maia3_code/
+*.pt
diff --git a/public/maia3/maia3_simplified.onnx b/public/maia3/maia3_simplified.onnx
new file mode 100644
index 00000000..69a677c6
Binary files /dev/null and b/public/maia3/maia3_simplified.onnx differ
diff --git a/src/api/analysis.ts b/src/api/analysis.ts
index f4edcd49..ac50460a 100644
--- a/src/api/analysis.ts
+++ b/src/api/analysis.ts
@@ -226,7 +226,7 @@ export const fetchAnalyzedMaiaGame = async (
   const blackPlayer = data['black_player'] as Player
   const whitePlayer = data['white_player'] as Player
 
-  const maiaPattern = /maia_kdd_1\d00/
+  const maiaPattern = /maia_kdd_\d{3,4}/
 
   if (blackPlayer.name && maiaPattern.test(blackPlayer.name)) {
     blackPlayer.name = blackPlayer.name.replace('maia_kdd_', 'Maia ')
diff --git a/src/components/Analysis/BoardChrome.tsx b/src/components/Analysis/BoardChrome.tsx
index ccde6311..accc386f 100644
--- a/src/components/Analysis/BoardChrome.tsx
+++ b/src/components/Analysis/BoardChrome.tsx
@@ -250,9 +250,9 @@ export const AnalysisMaiaWinrateBar: React.FC<AnalysisMaiaWinrateBarProps> = ({
     : 'w-4'
   const tickTextClass = isDesktop
     ? isExpandedDesktop
-      ? 'text-[9px]'
-      : 'text-[8px]'
-    : 'text-[8px]'
+      ? 'text-[8px]'
+      : 'text-[7px]'
+    : 'text-[7px]'
   const bubbleClass = isDesktop
     ? isExpandedDesktop
       ? 'h-6 min-w-[42px] px-2 text-[11px]'
diff --git a/src/components/Analysis/Highlight.tsx b/src/components/Analysis/Highlight.tsx
index 0e00d179..04533145 100644
--- a/src/components/Analysis/Highlight.tsx
+++ b/src/components/Analysis/Highlight.tsx
@@ -355,7 +355,8 @@ export const Highlight: React.FC<Props> = ({
   }, [boardDescription?.segments?.length])
 
   const useCompactMobileColumnTitles = isMobile || simplified
-  const mobileMaiaColumnTitle = `Maia ${currentMaiaModel.slice(-4)}: Human Moves`
+  const maiaRating = currentMaiaModel.replace('maia_kdd_', '')
+  const mobileMaiaColumnTitle = `Maia ${maiaRating}: Human Moves`
   const mobileStockfishColumnTitle = 'SF 17: Engine Moves'
   const compactTitleRowClass = 'grid h-11 place-items-center'
   const splitTitleRowClass = 'grid h-12 place-items-center'
@@ -414,7 +415,7 @@ export const Highlight: React.FC<Props> = ({
               >
                 {useCompactMobileColumnTitles
                   ? mobileMaiaColumnTitle
-                  : `Maia ${currentMaiaModel.slice(-4)}`}
+                  : `Maia ${maiaRating}`}
               </div>
             ) : (
               <>
@@ -434,7 +435,7 @@ export const Highlight: React.FC<Props> = ({
                           key={model}
                           className="bg-transparent text-human-1"
                         >
-                          {`Maia ${model.slice(-4)}`}
+                          {`Maia ${model.replace('maia_kdd_', '')}`}
                         </option>
                       ))}
                     </select>
@@ -455,7 +456,7 @@ export const Highlight: React.FC<Props> = ({
                         key={model}
                         className="bg-transparent text-human-1"
                       >
-                        {`Maia ${model.slice(-4)}`}
+                        {`Maia ${model.replace('maia_kdd_', '')}`}
                       </option>
                     ))}
                   </select>
diff --git a/src/components/Analysis/MovesByRating.tsx b/src/components/Analysis/MovesByRating.tsx
index 753bd20c..2b1fe133 100644
--- a/src/components/Analysis/MovesByRating.tsx
+++ b/src/components/Analysis/MovesByRating.tsx
@@ -67,8 +67,11 @@ export const MovesByRating: React.FC<Props> = ({
             tickMargin={4}
             ticks={
               isMobile
-                ? [1100, 1300, 1500, 1700, 1900]
-                : [1100, 1200, 1300, 1400, 1500, 1600, 1700, 1800, 1900]
+                ? [600, 1000, 1400, 1800, 2200, 2600]
+                : [
+                    600, 800, 1000, 1200, 1400, 1600, 1800, 2000, 2200, 2400,
+                    2600,
+                  ]
             }
           />
           <YAxis
diff --git a/src/components/Common/DownloadModelModal.tsx b/src/components/Common/DownloadModelModal.tsx
index 458c1f01..5bf4720d 100644
--- a/src/components/Common/DownloadModelModal.tsx
+++ b/src/components/Common/DownloadModelModal.tsx
@@ -103,7 +103,7 @@ export const DownloadModelModal: React.FC<Props> = ({
 
           <div className="flex flex-col gap-3 text-sm md:text-base">
             <p className="text-primary/80">
-              Our newest model, Maia 2, provides richer and more in-depth
+              Our newest model, Maia 3, provides richer and more in-depth
               analysis, allowing for:
             </p>
             <ul className="flex list-inside flex-col gap-1.5 pl-2 text-white/80">
@@ -120,7 +120,7 @@ export const DownloadModelModal: React.FC<Props> = ({
               </li>
             </ul>
             <p className="text-white/80">
-              Maia 2 runs entirely on your device and requires a one-time 90mb
+              Maia 3 runs entirely on your device and requires a one-time 87mb
               download.
             </p>
           </div>
@@ -174,8 +174,8 @@ export const DownloadModelModal: React.FC<Props> = ({
                   </span>
                 )}
                 <p className="font-medium">
-                  {isDownloading ? 'Downloading...' : 'Download Maia 2'}{' '}
-                  <span className="text-xs text-white/70">(90mb)</span>
+                  {isDownloading ? 'Downloading...' : 'Download Maia 3'}{' '}
+                  <span className="text-xs text-white/70">(87mb)</span>
                 </p>
               </div>
             </div>
diff --git a/src/components/Home/AboutMaia.tsx b/src/components/Home/AboutMaia.tsx
index a07dcad2..b1deaae2 100644
--- a/src/components/Home/AboutMaia.tsx
+++ b/src/components/Home/AboutMaia.tsx
@@ -237,9 +237,8 @@ export const AboutMaia = () => {
               Maia is trained to predict human moves rather than to find the
               optimal move in a position. As a result, Maia exhibits common
               human biases and makes many of the same mistakes that humans make.
-              We have trained a set of nine neural network engines, each
-              targeting a specific rating level on the Lichess.org rating scale,
-              from 1100 to 1900.
+              We have trained a neural network engine that can target any rating
+              level on the Lichess.org rating scale, from 600 to 2600.
             </p>
 
             <p className="text-primary/90">
diff --git a/src/components/Openings/MaiaRatingInsights.tsx b/src/components/Openings/MaiaRatingInsights.tsx
index 30232297..81be01df 100644
--- a/src/components/Openings/MaiaRatingInsights.tsx
+++ b/src/components/Openings/MaiaRatingInsights.tsx
@@ -67,7 +67,7 @@ export const MaiaRatingInsights: React.FC<Props> = ({ ratingPrediction }) => {
     const upperBound = Math.round(
       ratingPrediction.predictedRating + ratingPrediction.standardDeviation,
     )
-    return `${Math.max(1100, lowerBound)} → ${Math.min(1900, upperBound)}`
+    return `${Math.max(600, lowerBound)} → ${Math.min(2600, upperBound)}`
   }
 
   return (
@@ -160,8 +160,8 @@ export const MaiaRatingInsights: React.FC<Props> = ({ ratingPrediction }) => {
           <span className="font-semibold text-human-2">
             How it&apos;s calculated:{' '}
           </span>
-          We analyze each position before your moves using 9 different Maia
-          models (1100-1900). For each model, we calculate the probability it
+          We analyze each position before your moves using 21 different Maia
+          models (600-2600). For each model, we calculate the probability it
           would play your chosen move. The final rating is the specific level
           that had the highest log likelihood of predicting your actual moves.
         </p>
diff --git a/src/constants/analysis.ts b/src/constants/analysis.ts
index b8cd86a2..fa65032c 100644
--- a/src/constants/analysis.ts
+++ b/src/constants/analysis.ts
@@ -18,6 +18,8 @@ export const MOVE_CLASSIFICATION_THRESHOLDS = {
 } as const
 
 export const DEFAULT_MAIA_MODEL = 'maia_kdd_1500' as const
+export const MAIA_MIN_RATING = 600 as const
+export const MAIA_MAX_RATING = 2600 as const
 export const MIN_STOCKFISH_DEPTH = 12 as const
 export const LEARN_FROM_MISTAKES_DEPTH = 12 as const
 export const STOCKFISH_DEBUG_RERUN_EVENT = 'maia:stockfish-debug-rerun' as const
diff --git a/src/constants/common.ts b/src/constants/common.ts
index 8cc149a6..b3259a20 100644
--- a/src/constants/common.ts
+++ b/src/constants/common.ts
@@ -1,14 +1,11 @@
-export const MAIA_MODELS = [
-  'maia_kdd_1100',
-  'maia_kdd_1200',
-  'maia_kdd_1300',
-  'maia_kdd_1400',
-  'maia_kdd_1500',
-  'maia_kdd_1600',
-  'maia_kdd_1700',
-  'maia_kdd_1800',
-  'maia_kdd_1900',
-]
+export const MAIA_MODELS = Array.from(
+  { length: 21 },
+  (_, i) => `maia_kdd_${600 + i * 100}`,
+)
+
+export const MAIA_RATINGS = MAIA_MODELS.map((m) =>
+  parseInt(m.replace('maia_kdd_', '')),
+)
 
 export const MAIA_MODELS_WITH_NAMES = MAIA_MODELS.map((model) => ({
   id: model,
diff --git a/src/contexts/MaiaEngineContext.tsx b/src/contexts/MaiaEngineContext.tsx
index f5ffa991..e92c0367 100644
--- a/src/contexts/MaiaEngineContext.tsx
+++ b/src/contexts/MaiaEngineContext.tsx
@@ -36,8 +36,8 @@ export const MaiaEngineContextProvider: React.FC<{ children: ReactNode }> = ({
     const model = new Maia({
       model:
         process.env.NEXT_PUBLIC_MAIA_MODEL_URL ??
-        'https://raw.githubusercontent.com/CSSLab/maia-platform-frontend/e23a50e/public/maia2/maia_rapid.onnx',
-      modelVersion: process.env.NEXT_PUBLIC_MAIA_MODEL_VERSION ?? '1',
+        '/maia3/maia3_simplified.onnx',
+      modelVersion: process.env.NEXT_PUBLIC_MAIA_MODEL_VERSION ?? '2',
       setStatus: setStatus,
       setProgress: setProgress,
       setError: setError,
diff --git a/src/hooks/useAnalysisController/useEngineAnalysis.ts b/src/hooks/useAnalysisController/useEngineAnalysis.ts
index 1b078199..300fcf4d 100644
--- a/src/hooks/useAnalysisController/useEngineAnalysis.ts
+++ b/src/hooks/useAnalysisController/useEngineAnalysis.ts
@@ -1,7 +1,7 @@
 import { Chess } from 'chess.ts'
 import { fetchOpeningBookMoves } from 'src/api'
 import { useEffect, useContext, useRef, useState } from 'react'
-import { MAIA_MODELS } from 'src/constants/common'
+import { MAIA_MODELS, MAIA_RATINGS } from 'src/constants/common'
 import {
   STOCKFISH_DEBUG_RERUN_EVENT,
   STOCKFISH_DEBUG_RERUN_KEY,
@@ -58,10 +58,10 @@ export const useEngineAnalysis = (
       throw new Error('Maia engine not initialized')
     }
 
-    const { result } = await maia.maia.batchEvaluate(
-      Array(9).fill(board.fen()),
-      [1100, 1200, 1300, 1400, 1500, 1600, 1700, 1800, 1900],
-      [1100, 1200, 1300, 1400, 1500, 1600, 1700, 1800, 1900],
+    const { result } = await maia.maia.batchEvaluateMaia3(
+      Array(MAIA_RATINGS.length).fill(board.fen()),
+      MAIA_RATINGS,
+      MAIA_RATINGS,
     )
 
     const maiaEvaluations: { [key: string]: MaiaEvaluation } = {}
diff --git a/src/hooks/useAnalysisController/useMoveRecommendations.ts b/src/hooks/useAnalysisController/useMoveRecommendations.ts
index cb26daa0..7299fc86 100644
--- a/src/hooks/useAnalysisController/useMoveRecommendations.ts
+++ b/src/hooks/useAnalysisController/useMoveRecommendations.ts
@@ -99,7 +99,7 @@ export const useMoveRecommendations = (
     const data = []
     for (const rating of MAIA_MODELS) {
       const entry: { [key: string]: number } = {
-        rating: parseInt(rating.slice(-4)),
+        rating: parseInt(rating.replace('maia_kdd_', '')),
       }
 
       for (const move of candidates) {
diff --git a/src/lib/engine/data/all_moves_maia3.json b/src/lib/engine/data/all_moves_maia3.json
new file mode 100644
index 00000000..e7aa703a
--- /dev/null
+++ b/src/lib/engine/data/all_moves_maia3.json
@@ -0,0 +1 @@
+{"a1a1": 0, "a1b1": 1, "a1c1": 2, "a1d1": 3, "a1e1": 4, "a1f1": 5, "a1g1": 6, "a1h1": 7, "a1a2": 8, "a1b2": 9, "a1c2": 10, "a1d2": 11, "a1e2": 12, "a1f2": 13, "a1g2": 14, "a1h2": 15, "a1a3": 16, "a1b3": 17, "a1c3": 18, "a1d3": 19, "a1e3": 20, "a1f3": 21, "a1g3": 22, "a1h3": 23, "a1a4": 24, "a1b4": 25, "a1c4": 26, "a1d4": 27, "a1e4": 28, "a1f4": 29, "a1g4": 30, "a1h4": 31, "a1a5": 32, "a1b5": 33, "a1c5": 34, "a1d5": 35, "a1e5": 36, "a1f5": 37, "a1g5": 38, "a1h5": 39, "a1a6": 40, "a1b6": 41, "a1c6": 42, "a1d6": 43, "a1e6": 44, "a1f6": 45, "a1g6": 46, "a1h6": 47, "a1a7": 48, "a1b7": 49, "a1c7": 50, "a1d7": 51, "a1e7": 52, "a1f7": 53, "a1g7": 54, "a1h7": 55, "a1a8": 56, "a1b8": 57, "a1c8": 58, "a1d8": 59, "a1e8": 60, "a1f8": 61, "a1g8": 62, "a1h8": 63, "b1a1": 64, "b1b1": 65, "b1c1": 66, "b1d1": 67, "b1e1": 68, "b1f1": 69, "b1g1": 70, "b1h1": 71, "b1a2": 72, "b1b2": 73, "b1c2": 74, "b1d2": 75, "b1e2": 76, "b1f2": 77, "b1g2": 78, "b1h2": 79, "b1a3": 80, "b1b3": 81, "b1c3": 82, "b1d3": 83, "b1e3": 84, "b1f3": 85, "b1g3": 86, "b1h3": 87, "b1a4": 88, "b1b4": 89, "b1c4": 90, "b1d4": 91, "b1e4": 92, "b1f4": 93, "b1g4": 94, "b1h4": 95, "b1a5": 96, "b1b5": 97, "b1c5": 98, "b1d5": 99, "b1e5": 100, "b1f5": 101, "b1g5": 102, "b1h5": 103, "b1a6": 104, "b1b6": 105, "b1c6": 106, "b1d6": 107, "b1e6": 108, "b1f6": 109, "b1g6": 110, "b1h6": 111, "b1a7": 112, "b1b7": 113, "b1c7": 114, "b1d7": 115, "b1e7": 116, "b1f7": 117, "b1g7": 118, "b1h7": 119, "b1a8": 120, "b1b8": 121, "b1c8": 122, "b1d8": 123, "b1e8": 124, "b1f8": 125, "b1g8": 126, "b1h8": 127, "c1a1": 128, "c1b1": 129, "c1c1": 130, "c1d1": 131, "c1e1": 132, "c1f1": 133, "c1g1": 134, "c1h1": 135, "c1a2": 136, "c1b2": 137, "c1c2": 138, "c1d2": 139, "c1e2": 140, "c1f2": 141, "c1g2": 142, "c1h2": 143, "c1a3": 144, "c1b3": 145, "c1c3": 146, "c1d3": 147, "c1e3": 148, "c1f3": 149, "c1g3": 150, "c1h3": 151, "c1a4": 152, "c1b4": 153, "c1c4": 154, "c1d4": 155, "c1e4": 156, "c1f4": 157, "c1g4": 158, "c1h4": 159, "c1a5": 160, "c1b5": 161, "c1c5": 162, "c1d5": 163, "c1e5": 164, "c1f5": 165, "c1g5": 166, "c1h5": 167, "c1a6": 168, "c1b6": 169, "c1c6": 170, "c1d6": 171, "c1e6": 172, "c1f6": 173, "c1g6": 174, "c1h6": 175, "c1a7": 176, "c1b7": 177, "c1c7": 178, "c1d7": 179, "c1e7": 180, "c1f7": 181, "c1g7": 182, "c1h7": 183, "c1a8": 184, "c1b8": 185, "c1c8": 186, "c1d8": 187, "c1e8": 188, "c1f8": 189, "c1g8": 190, "c1h8": 191, "d1a1": 192, "d1b1": 193, "d1c1": 194, "d1d1": 195, "d1e1": 196, "d1f1": 197, "d1g1": 198, "d1h1": 199, "d1a2": 200, "d1b2": 201, "d1c2": 202, "d1d2": 203, "d1e2": 204, "d1f2": 205, "d1g2": 206, "d1h2": 207, "d1a3": 208, "d1b3": 209, "d1c3": 210, "d1d3": 211, "d1e3": 212, "d1f3": 213, "d1g3": 214, "d1h3": 215, "d1a4": 216, "d1b4": 217, "d1c4": 218, "d1d4": 219, "d1e4": 220, "d1f4": 221, "d1g4": 222, "d1h4": 223, "d1a5": 224, "d1b5": 225, "d1c5": 226, "d1d5": 227, "d1e5": 228, "d1f5": 229, "d1g5": 230, "d1h5": 231, "d1a6": 232, "d1b6": 233, "d1c6": 234, "d1d6": 235, "d1e6": 236, "d1f6": 237, "d1g6": 238, "d1h6": 239, "d1a7": 240, "d1b7": 241, "d1c7": 242, "d1d7": 243, "d1e7": 244, "d1f7": 245, "d1g7": 246, "d1h7": 247, "d1a8": 248, "d1b8": 249, "d1c8": 250, "d1d8": 251, "d1e8": 252, "d1f8": 253, "d1g8": 254, "d1h8": 255, "e1a1": 256, "e1b1": 257, "e1c1": 258, "e1d1": 259, "e1e1": 260, "e1f1": 261, "e1g1": 262, "e1h1": 263, "e1a2": 264, "e1b2": 265, "e1c2": 266, "e1d2": 267, "e1e2": 268, "e1f2": 269, "e1g2": 270, "e1h2": 271, "e1a3": 272, "e1b3": 273, "e1c3": 274, "e1d3": 275, "e1e3": 276, "e1f3": 277, "e1g3": 278, "e1h3": 279, "e1a4": 280, "e1b4": 281, "e1c4": 282, "e1d4": 283, "e1e4": 284, "e1f4": 285, "e1g4": 286, "e1h4": 287, "e1a5": 288, "e1b5": 289, "e1c5": 290, "e1d5": 291, "e1e5": 292, "e1f5": 293, "e1g5": 294, "e1h5": 295, "e1a6": 296, "e1b6": 297, "e1c6": 298, "e1d6": 299, "e1e6": 300, "e1f6": 301, "e1g6": 302, "e1h6": 303, "e1a7": 304, "e1b7": 305, "e1c7": 306, "e1d7": 307, "e1e7": 308, "e1f7": 309, "e1g7": 310, "e1h7": 311, "e1a8": 312, "e1b8": 313, "e1c8": 314, "e1d8": 315, 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\ No newline at end of file
diff --git a/src/lib/engine/data/all_moves_maia3_reversed.json b/src/lib/engine/data/all_moves_maia3_reversed.json
new file mode 100644
index 00000000..3977e4f3
--- /dev/null
+++ b/src/lib/engine/data/all_moves_maia3_reversed.json
@@ -0,0 +1 @@
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"g8e5", "4005": "g8f5", "4006": "g8g5", "4007": "g8h5", "4008": "g8a6", "4009": "g8b6", "4010": "g8c6", "4011": "g8d6", "4012": "g8e6", "4013": "g8f6", "4014": "g8g6", "4015": "g8h6", "4016": "g8a7", "4017": "g8b7", "4018": "g8c7", "4019": "g8d7", "4020": "g8e7", "4021": "g8f7", "4022": "g8g7", "4023": "g8h7", "4024": "g8a8", "4025": "g8b8", "4026": "g8c8", "4027": "g8d8", "4028": "g8e8", "4029": "g8f8", "4030": "g8g8", "4031": "g8h8", "4032": "h8a1", "4033": "h8b1", "4034": "h8c1", "4035": "h8d1", "4036": "h8e1", "4037": "h8f1", "4038": "h8g1", "4039": "h8h1", "4040": "h8a2", "4041": "h8b2", "4042": "h8c2", "4043": "h8d2", "4044": "h8e2", "4045": "h8f2", "4046": "h8g2", "4047": "h8h2", "4048": "h8a3", "4049": "h8b3", "4050": "h8c3", "4051": "h8d3", "4052": "h8e3", "4053": "h8f3", "4054": "h8g3", "4055": "h8h3", "4056": "h8a4", "4057": "h8b4", "4058": "h8c4", "4059": "h8d4", "4060": "h8e4", "4061": "h8f4", "4062": "h8g4", "4063": "h8h4", "4064": "h8a5", "4065": "h8b5", "4066": "h8c5", "4067": "h8d5", "4068": "h8e5", "4069": "h8f5", "4070": "h8g5", "4071": "h8h5", "4072": "h8a6", "4073": "h8b6", "4074": "h8c6", "4075": "h8d6", "4076": "h8e6", "4077": "h8f6", "4078": "h8g6", "4079": "h8h6", "4080": "h8a7", "4081": "h8b7", "4082": "h8c7", "4083": "h8d7", "4084": "h8e7", "4085": "h8f7", "4086": "h8g7", "4087": "h8h7", "4088": "h8a8", "4089": "h8b8", "4090": "h8c8", "4091": "h8d8", "4092": "h8e8", "4093": "h8f8", "4094": "h8g8", "4095": "h8h8", "4096": "a7a8q", "4097": "a7a8r", "4098": "a7a8b", "4099": "a7a8n", "4100": "a7b8q", "4101": "a7b8r", "4102": "a7b8b", "4103": "a7b8n", "4104": "a7c8q", "4105": "a7c8r", "4106": "a7c8b", "4107": "a7c8n", "4108": "a7d8q", "4109": "a7d8r", "4110": "a7d8b", "4111": "a7d8n", "4112": "a7e8q", "4113": "a7e8r", "4114": "a7e8b", "4115": "a7e8n", "4116": "a7f8q", "4117": "a7f8r", "4118": "a7f8b", "4119": "a7f8n", "4120": "a7g8q", "4121": "a7g8r", "4122": "a7g8b", "4123": "a7g8n", "4124": "a7h8q", "4125": "a7h8r", "4126": "a7h8b", "4127": "a7h8n", "4128": "b7a8q", "4129": "b7a8r", "4130": "b7a8b", "4131": "b7a8n", "4132": "b7b8q", "4133": "b7b8r", "4134": "b7b8b", "4135": "b7b8n", "4136": "b7c8q", "4137": "b7c8r", "4138": "b7c8b", "4139": "b7c8n", "4140": "b7d8q", "4141": "b7d8r", "4142": "b7d8b", "4143": "b7d8n", "4144": "b7e8q", "4145": "b7e8r", "4146": "b7e8b", "4147": "b7e8n", "4148": "b7f8q", "4149": "b7f8r", "4150": "b7f8b", "4151": "b7f8n", "4152": "b7g8q", "4153": "b7g8r", "4154": "b7g8b", "4155": "b7g8n", "4156": "b7h8q", "4157": "b7h8r", "4158": "b7h8b", "4159": "b7h8n", "4160": "c7a8q", "4161": "c7a8r", "4162": "c7a8b", "4163": "c7a8n", "4164": "c7b8q", "4165": "c7b8r", "4166": "c7b8b", "4167": "c7b8n", "4168": "c7c8q", "4169": "c7c8r", "4170": "c7c8b", "4171": "c7c8n", "4172": "c7d8q", "4173": "c7d8r", "4174": "c7d8b", "4175": "c7d8n", "4176": "c7e8q", "4177": "c7e8r", "4178": "c7e8b", "4179": "c7e8n", "4180": "c7f8q", "4181": "c7f8r", "4182": "c7f8b", "4183": "c7f8n", "4184": "c7g8q", "4185": "c7g8r", "4186": "c7g8b", "4187": "c7g8n", "4188": "c7h8q", "4189": "c7h8r", "4190": "c7h8b", "4191": "c7h8n", "4192": "d7a8q", "4193": "d7a8r", "4194": "d7a8b", "4195": "d7a8n", "4196": "d7b8q", "4197": "d7b8r", "4198": "d7b8b", "4199": "d7b8n", "4200": "d7c8q", "4201": "d7c8r", "4202": "d7c8b", "4203": "d7c8n", "4204": "d7d8q", "4205": "d7d8r", "4206": "d7d8b", "4207": "d7d8n", "4208": "d7e8q", "4209": "d7e8r", "4210": "d7e8b", "4211": "d7e8n", "4212": "d7f8q", "4213": "d7f8r", "4214": "d7f8b", "4215": "d7f8n", "4216": "d7g8q", "4217": "d7g8r", "4218": "d7g8b", "4219": "d7g8n", "4220": "d7h8q", "4221": "d7h8r", "4222": "d7h8b", "4223": "d7h8n", "4224": "e7a8q", "4225": "e7a8r", "4226": "e7a8b", "4227": "e7a8n", "4228": "e7b8q", "4229": "e7b8r", "4230": "e7b8b", "4231": "e7b8n", "4232": "e7c8q", "4233": "e7c8r", "4234": "e7c8b", "4235": "e7c8n", "4236": "e7d8q", "4237": "e7d8r", "4238": "e7d8b", "4239": "e7d8n", "4240": "e7e8q", "4241": "e7e8r", "4242": "e7e8b", "4243": "e7e8n", "4244": "e7f8q", "4245": "e7f8r", "4246": "e7f8b", "4247": "e7f8n", "4248": "e7g8q", "4249": "e7g8r", "4250": "e7g8b", "4251": "e7g8n", "4252": "e7h8q", "4253": "e7h8r", "4254": "e7h8b", "4255": "e7h8n", "4256": "f7a8q", "4257": "f7a8r", "4258": "f7a8b", "4259": "f7a8n", "4260": "f7b8q", "4261": "f7b8r", "4262": "f7b8b", "4263": "f7b8n", "4264": "f7c8q", "4265": "f7c8r", "4266": "f7c8b", "4267": "f7c8n", "4268": "f7d8q", "4269": "f7d8r", "4270": "f7d8b", "4271": "f7d8n", "4272": "f7e8q", "4273": "f7e8r", "4274": "f7e8b", "4275": "f7e8n", "4276": "f7f8q", "4277": "f7f8r", "4278": "f7f8b", "4279": "f7f8n", "4280": "f7g8q", "4281": "f7g8r", "4282": "f7g8b", "4283": "f7g8n", "4284": "f7h8q", "4285": "f7h8r", "4286": "f7h8b", "4287": "f7h8n", "4288": "g7a8q", "4289": "g7a8r", "4290": "g7a8b", "4291": "g7a8n", "4292": "g7b8q", "4293": "g7b8r", "4294": "g7b8b", "4295": "g7b8n", "4296": "g7c8q", "4297": "g7c8r", "4298": "g7c8b", "4299": "g7c8n", "4300": "g7d8q", "4301": "g7d8r", "4302": "g7d8b", "4303": "g7d8n", "4304": "g7e8q", "4305": "g7e8r", "4306": "g7e8b", "4307": "g7e8n", "4308": "g7f8q", "4309": "g7f8r", "4310": "g7f8b", "4311": "g7f8n", "4312": "g7g8q", "4313": "g7g8r", "4314": "g7g8b", "4315": "g7g8n", "4316": "g7h8q", "4317": "g7h8r", "4318": "g7h8b", "4319": "g7h8n", "4320": "h7a8q", "4321": "h7a8r", "4322": "h7a8b", "4323": "h7a8n", "4324": "h7b8q", "4325": "h7b8r", "4326": "h7b8b", "4327": "h7b8n", "4328": "h7c8q", "4329": "h7c8r", "4330": "h7c8b", "4331": "h7c8n", "4332": "h7d8q", "4333": "h7d8r", "4334": "h7d8b", "4335": "h7d8n", "4336": "h7e8q", "4337": "h7e8r", "4338": "h7e8b", "4339": "h7e8n", "4340": "h7f8q", "4341": "h7f8r", "4342": "h7f8b", "4343": "h7f8n", "4344": "h7g8q", "4345": "h7g8r", "4346": "h7g8b", "4347": "h7g8n", "4348": "h7h8q", "4349": "h7h8r", "4350": "h7h8b", "4351": "h7h8n"}
\ No newline at end of file
diff --git a/src/lib/engine/maia.ts b/src/lib/engine/maia.ts
index 5b376c9d..f6570ff0 100644
--- a/src/lib/engine/maia.ts
+++ b/src/lib/engine/maia.ts
@@ -1,7 +1,13 @@
 import { MaiaStatus } from 'src/types'
 import { InferenceSession, Tensor } from 'onnxruntime-web'
 
-import { mirrorMove, preprocess, allPossibleMovesReversed } from './tensor'
+import {
+  mirrorMove,
+  preprocess,
+  preprocessMaia3,
+  allPossibleMovesReversed,
+  allPossibleMovesMaia3Reversed,
+} from './tensor'
 import { MaiaModelStorage } from './storage'
 
 interface MaiaOptions {
@@ -163,6 +169,110 @@ class Maia {
     }
   }
 
+  /**
+   * Evaluates a chess position using the Maia3 model.
+   * Maia3 uses continuous ELO (float) instead of categorical buckets,
+   * and outputs WDL logits instead of a single value.
+   */
+  async evaluateMaia3(board: string, eloSelf: number, eloOppo: number) {
+    if (!this.model) {
+      throw new Error('Maia model not initialized')
+    }
+
+    const { boardTokens, legalMoves } = preprocessMaia3(board)
+
+    const feeds: Record<string, Tensor> = {
+      tokens: new Tensor('float32', boardTokens, [1, 64, 12]),
+      elo_self: new Tensor('float32', [eloSelf]),
+      elo_oppo: new Tensor('float32', [eloOppo]),
+    }
+    const { logits_move, logits_value } = await this.model.run(feeds)
+
+    const { policy, value } = processOutputsMaia3(
+      board,
+      logits_move,
+      logits_value,
+      legalMoves,
+    )
+
+    return { policy, value }
+  }
+
+  /**
+   * Evaluates a batch of chess positions using the Maia3 model.
+   */
+  async batchEvaluateMaia3(
+    boards: string[],
+    eloSelfs: number[],
+    eloOppos: number[],
+  ) {
+    if (!this.model) {
+      throw new Error('Maia model not initialized')
+    }
+
+    const batchSize = boards.length
+    const boardInputs: Float32Array[] = []
+    const legalMovesArr: Float32Array[] = []
+
+    for (let i = 0; i < batchSize; i++) {
+      const { boardTokens, legalMoves } = preprocessMaia3(boards[i])
+      boardInputs.push(boardTokens)
+      legalMovesArr.push(legalMoves)
+    }
+
+    const combinedTokens = new Float32Array(batchSize * 64 * 12)
+    for (let i = 0; i < batchSize; i++) {
+      combinedTokens.set(boardInputs[i], i * 64 * 12)
+    }
+
+    const feeds: Record<string, Tensor> = {
+      tokens: new Tensor('float32', combinedTokens, [batchSize, 64, 12]),
+      elo_self: new Tensor('float32', Float32Array.from(eloSelfs), [batchSize]),
+      elo_oppo: new Tensor('float32', Float32Array.from(eloOppos), [batchSize]),
+    }
+
+    const start = performance.now()
+    const { logits_move, logits_value } = await this.model.run(feeds)
+    const end = performance.now()
+
+    const results = []
+    const moveLogitsPerItem = 4352
+    const valueLogitsPerItem = 3
+
+    for (let i = 0; i < batchSize; i++) {
+      const moveStart = i * moveLogitsPerItem
+      const moveEnd = moveStart + moveLogitsPerItem
+      const policyLogits = logits_move.data.slice(
+        moveStart,
+        moveEnd,
+      ) as Float32Array
+      const policyTensor = new Tensor('float32', policyLogits, [
+        moveLogitsPerItem,
+      ])
+
+      const valueStart = i * valueLogitsPerItem
+      const valueEnd = valueStart + valueLogitsPerItem
+      const valueLogits = logits_value.data.slice(
+        valueStart,
+        valueEnd,
+      ) as Float32Array
+      const valueTensor = new Tensor('float32', valueLogits, [
+        valueLogitsPerItem,
+      ])
+
+      const { policy, value } = processOutputsMaia3(
+        boards[i],
+        policyTensor,
+        valueTensor,
+        legalMovesArr[i],
+      )
+
+      results.push({ policy, value })
+    }
+
+    return { result: results, time: end - start }
+  }
+
   /**
    * Evaluates a batch of chess positions using the Maia model.
    *
@@ -328,4 +438,73 @@ function processOutputs(
   return { policy: sortedMoveProbs, value: winProb }
 }
 
+/**
+ * Processes maia3 ONNX outputs. Maia3 outputs WDL (win/draw/loss) logits
+ * and uses a 4352-dimensional move space.
+ */
+function processOutputsMaia3(
+  fen: string,
+  logits_move: Tensor,
+  logits_value: Tensor,
+  legalMoves: Float32Array,
+) {
+  const logits = logits_move.data as Float32Array
+  const wdl = logits_value.data as Float32Array
+
+  // Convert WDL logits to win probability via softmax
+  const maxWdl = Math.max(wdl[0], wdl[1], wdl[2])
+  const expW = Math.exp(wdl[0] - maxWdl)
+  const expD = Math.exp(wdl[1] - maxWdl)
+  const expL = Math.exp(wdl[2] - maxWdl)
+  const sumExp = expW + expD + expL
+  // Win probability = P(win) + 0.5 * P(draw)
+  let winProb = (expW + 0.5 * expD) / sumExp
+
+  let black_flag = false
+  if (fen.split(' ')[1] === 'b') {
+    black_flag = true
+    winProb = 1 - winProb
+  }
+
+  winProb = Math.round(winProb * 10000) / 10000
+
+  // Get indices of legal moves
+  const legalMoveIndices = legalMoves
+    .map((value, index) => (value > 0 ? index : -1))
+    .filter((index) => index !== -1)
+
+  const legalMovesMirrored = []
+  for (const moveIndex of legalMoveIndices) {
+    let move = allPossibleMovesMaia3Reversed[moveIndex]
+    if (black_flag) {
+      move = mirrorMove(move)
+    }
+    legalMovesMirrored.push(move)
+  }
+
+  // Softmax over legal move logits
+  const legalLogits = legalMoveIndices.map((idx) => logits[idx])
+  const maxLogit = Math.max(...legalLogits)
+  const expLogits = legalLogits.map((logit) => Math.exp(logit - maxLogit))
+  const sumExpMoves = expLogits.reduce((a, b) => a + b, 0)
+  const probs = expLogits.map((expLogit) => expLogit / sumExpMoves)
+
+  const moveProbs: Record<string, number> = {}
+  for (let i = 0; i < legalMoveIndices.length; i++) {
+    moveProbs[legalMovesMirrored[i]] = probs[i]
+  }
+
+  const sortedMoveProbs = Object.keys(moveProbs)
+    .sort((a, b) => moveProbs[b] - moveProbs[a])
+    .reduce(
+      (acc, key) => {
+        acc[key] = moveProbs[key]
+        return acc
+      },
+      {} as Record<string, number>,
+    )
+
+  return { policy: sortedMoveProbs, value: winProb }
+}
+
 export default Maia
diff --git a/src/lib/engine/tensor.ts b/src/lib/engine/tensor.ts
index c8139b42..b3d332c1 100644
--- a/src/lib/engine/tensor.ts
+++ b/src/lib/engine/tensor.ts
@@ -2,12 +2,20 @@ import { Chess, Move } from 'chess.ts'
 
 import allPossibleMovesDict from './data/all_moves.json'
 import allPossibleMovesReversedDict from './data/all_moves_reversed.json'
+import allPossibleMovesMaia3Dict from './data/all_moves_maia3.json'
+import allPossibleMovesMaia3ReversedDict from './data/all_moves_maia3_reversed.json'
 
 const allPossibleMoves = allPossibleMovesDict as Record<string, number>
 const allPossibleMovesReversed = allPossibleMovesReversedDict as Record<
   number,
   string
 >
+const allPossibleMovesMaia3 = allPossibleMovesMaia3Dict as Record<
+  string,
+  number
+>
+const allPossibleMovesMaia3Reversed =
+  allPossibleMovesMaia3ReversedDict as Record<number, string>
 const eloDict = createEloDict()
 /**
  * Converts a chess board position in FEN notation to a tensor representation.
@@ -304,4 +312,87 @@ function mirrorFEN(fen: string): string {
   return `${mirroredPosition} ${mirroredActiveColor} ${mirroredCastling} ${mirroredEnPassant} ${halfmove} ${fullmove}`
 }
 
-export { preprocess, mirrorMove, allPossibleMovesReversed }
+/**
+ * Tokenizes a board position into maia3 format: (64, 12) piece channels.
+ * The board is always from white's perspective (mirrored if black to move).
+ */
+function boardToMaia3Tokens(fen: string): Float32Array {
+  const tokens = fen.split(' ')
+  const piecePlacement = tokens[0]
+
+  // Piece order: white P,N,B,R,Q,K (0-5), black p,n,b,r,q,k (6-11)
+  const pieceTypes = [
+    'P',
+    'N',
+    'B',
+    'R',
+    'Q',
+    'K',
+    'p',
+    'n',
+    'b',
+    'r',
+    'q',
+    'k',
+  ]
+  const tensor = new Float32Array(64 * 12) // (64, 12) flattened
+
+  const rows = piecePlacement.split('/')
+
+  for (let rank = 0; rank < 8; rank++) {
+    const row = 7 - rank
+    let file = 0
+    for (const char of rows[rank]) {
+      if (isNaN(parseInt(char))) {
+        const pieceIdx = pieceTypes.indexOf(char)
+        if (pieceIdx >= 0) {
+          const square = row * 8 + file // rank * 8 + file = chess square index
+          tensor[square * 12 + pieceIdx] = 1.0
+        }
+        file += 1
+      } else {
+        file += parseInt(char)
+      }
+    }
+  }
+
+  return tensor
+}
+
+/**
+ * Preprocesses a FEN for maia3 inference.
+ * Returns (64, 12) board tokens and a legal moves mask over 4352 moves.
+ * ELO is passed as a raw float (maia3 uses continuous interpolation, not categories).
+ */
+function preprocessMaia3(fen: string): {
+  boardTokens: Float32Array
+  legalMoves: Float32Array
+} {
+  let board = new Chess(fen)
+  if (fen.split(' ')[1] === 'b') {
+    board = new Chess(mirrorFEN(board.fen()))
+  } else if (fen.split(' ')[1] !== 'w') {
+    throw new Error(`Invalid FEN: ${fen}`)
+  }
+
+  const boardTokens = boardToMaia3Tokens(board.fen())
+
+  const legalMoves = new Float32Array(Object.keys(allPossibleMovesMaia3).length)
+  for (const move of board.moves({ verbose: true }) as Move[]) {
+    const promotion = move.promotion ? move.promotion : ''
+    const moveIndex = allPossibleMovesMaia3[move.from + move.to + promotion]
+    if (moveIndex !== undefined) {
+      legalMoves[moveIndex] = 1.0
+    }
+  }
+
+  return { boardTokens, legalMoves }
+}
+
+export {
+  preprocess,
+  preprocessMaia3,
+  mirrorMove,
+  allPossibleMovesReversed,
+  allPossibleMovesMaia3Reversed,
+}
diff --git a/src/lib/ratingUtils.ts b/src/lib/ratingUtils.ts
index aff1375a..43c45363 100644
--- a/src/lib/ratingUtils.ts
+++ b/src/lib/ratingUtils.ts
@@ -5,7 +5,7 @@
 /**
  * Validates if a rating value is reasonable for chess
  * Chess ratings typically range from around 400 to 3000+
- * Maia models range from 1100-1900, but players can have ratings outside this range
+ * Maia models range from 600-2600, but players can have ratings outside this range
  *
  * @param rating - The rating value to validate
  * @returns true if the rating is valid, false otherwise
diff --git a/src/pages/openings/index.tsx b/src/pages/openings/index.tsx
index a56a7845..8f8d3163 100644
--- a/src/pages/openings/index.tsx
+++ b/src/pages/openings/index.tsx
@@ -131,7 +131,9 @@ const OpeningsPage: NextPage = () => {
       'maia_kdd_',
       'Maia ',
     )
-    const maiaRating = parseInt(controller.currentDrill.maiaVersion.slice(-4))
+    const maiaRating = parseInt(
+      controller.currentDrill.maiaVersion.replace('maia_kdd_', ''),
+    )
 
     return {
       blackPlayer: {