auto-refresh: 2026-09-13 (63 models)

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Max","runs":5,"quality":82.1,"speed":123.7,"scenarios":{"coding_agent":76.3,"openclaw":84.4,"roleplay":82.3,"research":85.3},"updated":"2026-09-07"},{"vram":64,"model":"Qwen3.8-27B-4bit","hardware":"Apple M5 Max","runs":9,"quality":81.9,"speed":30.6,"scenarios":{"coding_agent":76.8,"openclaw":78.0,"roleplay":89.2,"research":83.4},"updated":"2026-08-22"},{"vram":128,"model":"Qwen3.8-Flash-Next-oQ4e-mtp","hardware":"Apple M4 Max","runs":50,"quality":81.8,"speed":54.2,"scenarios":{"coding_agent":72.3,"openclaw":83.1,"roleplay":87.4,"research":84.4},"updated":"2026-09-13"},{"vram":8,"model":"Tiel-Coder-35B-A3B-MTP-UD-Q2_K_XL","hardware":"NVIDIA GeForce RTX 5060","runs":4,"quality":81.7,"speed":108.1,"scenarios":{"coding_agent":77.3,"openclaw":80.5,"roleplay":83.7,"research":85.4},"updated":"2026-09-11"},{"vram":128,"model":"Qwen3.8-Flash-Next-oQ4e-mtp-BF16PLE-v1","hardware":"Apple M4 Max","runs":19,"quality":81.7,"speed":53.6,"scenarios":{"coding_agent":65.0,"openclaw":82.8,"roleplay":90.1,"research":88.9},"updated":"2026-09-13"},{"vram":128,"model":"Qwen3.8-Flash-Next-Dynamic-oQ4e-Q4GU-g64-BF16-PLE-MLX-mtp","hardware":"Apple M4 Max","runs":3,"quality":81.7,"speed":48.7,"scenarios":{"coding_agent":69.0,"openclaw":86.2,"roleplay":85.1,"research":86.6},"updated":"2026-09-12"},{"vram":8,"model":"Cyber-Tiel-Coder-35B-A3B-MTP-UD-IQ3_XXS","hardware":"NVIDIA GeForce RTX 5060","runs":3,"quality":81.5,"speed":115.7,"scenarios":{"coding_agent":73.8,"openclaw":85.3,"roleplay":82.4,"research":84.7},"updated":"2026-09-10"},{"vram":23,"model":"Qwen3.8-27B-Q4_K_XL","hardware":"AMD Radeon RX 7900 XT/7900 XTX/7900 GRE/7900M","runs":15,"quality":81.5,"speed":72.4,"scenarios":{"coding_agent":78.7,"openclaw":76.5,"roleplay":85.7,"research":85.0},"updated":"2026-09-05"},{"vram":128,"model":"Qwen3.8-Flash-Next-Q6Experts-g128-Q6Attn-g64-BF16-PLE-MLX-MTP-Q8","hardware":"Apple M4 Max","runs":3,"quality":81.3,"speed":59.5,"scenarios":{"coding_agent":69.3,"openclaw":84.2,"roleplay":91.5,"research":80.0},"updated":"2026-09-12"},{"vram":64,"model":"Qwen3.8-27B-oQ8e-mtp","hardware":"Apple M5 Max","runs":26,"quality":81.3,"speed":33.4,"scenarios":{"coding_agent":70.7,"openclaw":82.2,"roleplay":88.1,"research":84.4},"updated":"2026-09-10"},{"vram":128,"model":"Qwen3.8-Flash-Next-GPTQ6Experts-Q6Attn-BF16-PLE-MLX-MTP-Q8-GPTQ4Head","hardware":"Apple M4 Max","runs":4,"quality":81.1,"speed":63.8,"scenarios":{"coding_agent":70.3,"openclaw":85.2,"roleplay":87.0,"research":82.0},"updated":"2026-09-12"},{"vram":64,"model":"unsloth/Qwen3.8-27B-GGUF:UD-Q8_K_XL","hardware":"Apple M5 Max","runs":3,"quality":80.9,"speed":24.4,"scenarios":{"coding_agent":68.1,"openclaw":80.7,"roleplay":89.3,"research":85.4},"updated":"2026-08-21"},{"vram":23,"model":"Ornith-1.5-35B-A3B-IQ4_XS","hardware":"AMD Radeon RX 7900 XT/7900 XTX/7900 GRE/7900M","runs":3,"quality":80.7,"speed":139.5,"scenarios":{"coding_agent":78.7,"openclaw":81.4,"roleplay":82.4,"research":80.2},"updated":"2026-09-05"},{"vram":128,"model":"Qwen3.8-27B-oQ8e-fp16-mtp","hardware":"Apple M2 Ultra","runs":13,"quality":80.7,"speed":34.1,"scenarios":{"coding_agent":72.7,"openclaw":77.3,"roleplay":88.2,"research":84.6},"updated":"2026-09-04"},{"vram":64,"model":"Nex-N2.5-mini-MLX-4bit","hardware":"Apple M5 Max","runs":20,"quality":80.3,"speed":137.0,"scenarios":{"coding_agent":73.9,"openclaw":81.2,"roleplay":81.1,"research":85.1},"updated":"2026-09-12"},{"vram":10,"model":"qwen3_coder_next","hardware":"NVIDIA GeForce RTX 3080","runs":4,"quality":80.1,"speed":31.2,"scenarios":{"coding_agent":72.5,"openclaw":87.3,"roleplay":85.3,"research":75.4},"updated":"2026-08-25"},{"vram":20,"model":"unsloth/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-GGUF:UD-Q4_K_XL","hardware":"NVIDIA GeForce RTX 3080 Ti + NVIDIA GeForce RTX 3080","runs":3,"quality":79.7,"speed":172.4,"scenarios":{"coding_agent":68.0,"openclaw":84.5,"roleplay":83.2,"research":83.1},"updated":"2026-09-07"},{"vram":23,"model":"qwen38-27b","hardware":"AMD Radeon RX 7900 XT/7900 XTX/7900 GRE/7900M","runs":6,"quality":79.6,"speed":72.7,"scenarios":{"coding_agent":67.5,"openclaw":77.3,"roleplay":88.7,"research":85.0},"updated":"2026-09-08"},{"vram":96,"model":"Qwen3.8-27B-UD-Q6_K_XL","hardware":"NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition","runs":4,"quality":79.5,"speed":84.3,"scenarios":{"coding_agent":75.9,"openclaw":76.9,"roleplay":84.4,"research":80.6},"updated":"2026-08-31"},{"vram":16,"model":"peculiar-ragdoll/Tiel-Coder-35B-A3B-GGUF-MTP","hardware":"Advanced Micro Devices, Inc. [AMD/ATI] HawkPoint1","runs":4,"quality":78.9,"speed":26.8,"scenarios":{"coding_agent":77.2,"openclaw":81.8,"roleplay":80.9,"research":75.8},"updated":"2026-09-01"},{"vram":64,"model":"Qwen3.8-27B-oQ8-mtp","hardware":"Apple M5 Max","runs":4,"quality":77.7,"speed":35.6,"scenarios":{"coding_agent":77.6,"openclaw":67.4,"roleplay":84.8,"research":81.0},"updated":"2026-08-17"},{"vram":23,"model":"Qwen3.6-35B-A3B-IQ4_NL","hardware":"AMD Radeon RX 7900 XT/7900 XTX/7900 GRE/7900M","runs":17,"quality":75.9,"speed":164.8,"scenarios":{"coding_agent":67.1,"openclaw":74.7,"roleplay":83.0,"research":78.7},"updated":"2026-09-05"},{"vram":8,"model":"gpt-oss-20b-UD-Q8_K_XL","hardware":"NVIDIA GeForce RTX 5060","runs":3,"quality":75.6,"speed":148.4,"scenarios":{"coding_agent":70.3,"openclaw":83.8,"roleplay":71.6,"research":76.7},"updated":"2026-09-09"},{"vram":8,"model":"gemma-4-26B-A4B-it-UD-IQ4_NL","hardware":"NVIDIA GeForce RTX 5060","runs":3,"quality":74.5,"speed":83.2,"scenarios":{"coding_agent":67.6,"openclaw":82.5,"roleplay":80.5,"research":67.5},"updated":"2026-09-12"},{"vram":23,"model":"gemma-4-26b-a4b-q4kxl","hardware":"AMD Radeon RX 7900 XT/7900 XTX/7900 GRE/7900M","runs":3,"quality":69.5,"speed":169.9,"scenarios":{"coding_agent":67.9,"openclaw":75.2,"roleplay":79.8,"research":55.2},"updated":"2026-09-05"},{"vram":23,"model":"gemma4:26b-a4b-it-qat","hardware":"AMD Radeon RX 7900 XTX","runs":3,"quality":69.2,"speed":116.0,"scenarios":{"coding_agent":60.5,"openclaw":81.7,"roleplay":70.1,"research":64.3},"updated":"2026-08-24"},{"vram":15,"model":"qwen3.5-9b-mtp@q8_0","hardware":"AMD Radeon RX 7600 XT","runs":3,"quality":67.5,"speed":41.8,"scenarios":{"coding_agent":56.2,"openclaw":62.6,"roleplay":80.5,"research":70.7},"updated":"2026-09-11"},{"vram":10,"model":"qwen36-35b_VISION","hardware":"NVIDIA GeForce RTX 3080","runs":5,"quality":67.0,"speed":33.1,"scenarios":{"coding_agent":60.7,"openclaw":52.9,"roleplay":81.6,"research":73.0},"updated":"2026-08-26"},{"vram":16,"model":"mudler/Qwen3.6-35B-A3B-APEX-MTP-GGUF","hardware":"Advanced Micro Devices, Inc. [AMD/ATI] HawkPoint1","runs":4,"quality":66.8,"speed":31.6,"scenarios":{"coding_agent":65.6,"openclaw":59.9,"roleplay":68.0,"research":73.8},"updated":"2026-09-01"},{"vram":10,"model":"qwen35_122b","hardware":"NVIDIA GeForce RTX 3080","runs":5,"quality":66.7,"speed":15.2,"scenarios":{"coding_agent":53.7,"openclaw":56.3,"roleplay":80.3,"research":76.3},"updated":"2026-08-25"},{"vram":128,"model":"Ling-3.0-tiny-oQ8e","hardware":"Apple M4 Max","runs":4,"quality":60.1,"speed":124.9,"scenarios":{"coding_agent":47.3,"openclaw":72.3,"roleplay":45.5,"research":75.2},"updated":"2026-09-10"},{"vram":10,"model":"ornith-1.5-9b","hardware":"NVIDIA GeForce RTX 3080","runs":3,"quality":54.3,"speed":93.8,"scenarios":{"coding_agent":11.7,"openclaw":55.2,"roleplay":76.6,"research":73.8},"updated":"2026-08-25"},{"vram":16,"model":"ling-oq4e","hardware":"Apple M1","runs":4,"quality":46.1,"speed":47.6,"scenarios":{"coding_agent":6.2,"openclaw":64.1,"roleplay":59.5,"research":54.8},"updated":"2026-09-12"},{"vram":16,"model":"ling-oq8e","hardware":"Apple M1","runs":6,"quality":44.0,"speed":33.8,"scenarios":{"coding_agent":6.0,"openclaw":73.7,"roleplay":45.3,"research":51.1},"updated":"2026-09-12"},{"vram":64,"model":"Qwen3.8-27B-oQ2e-mtp","hardware":"Apple M5 Max","runs":3,"quality":10.3,"speed":44.0,"scenarios":{"coding_agent":0.0,"openclaw":28.0,"roleplay":7.7,"research":5.6},"updated":"2026-08-30"}],"generatedAt":"2026-09-13T10:00:30+00:00","windowDays":30,"minRuns":3,"totalSubmissions":1107,"inWindow":813,"scenarios":{"coding_agent":"coding_agent","openclaw":"openclaw","roleplay":"roleplay","research":"research"}}

index.html

@@ -69,7 +69,7 @@ footer a:hover{text-decoration:underline}
   </div>
 
   <div class="meta" id="meta">
-    <span><b>50</b> models</span><span><b>640</b> submissions in window</span><span>of <b>909</b> total on llm-bench.io</span>
+    <span><b>63</b> models</span><span><b>813</b> submissions in window</span><span>of <b>1107</b> total on llm-bench.io</span>
   </div>
 
   <div class="card">
@@ -109,6 +109,26 @@ footer a:hover{text-decoration:underline}
 <td class="num sc">83.3</td>      <td class="num sc">86.2</td>      <td class="num sc">90.3</td>      <td class="num sc">87.9</td>
       <td class="num updated">2026-08-29</td>
     </tr>
+    <tr style="cursor:pointer" title="Open on llm-bench.io">
+      <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Ornith-1.5-35B-A3B-oQ4e-mtp" target="_blank" rel="noopener">Ornith-1.5-35B-A3B-oQ4e-mtp</a>
+        <span class="model-hw">Apple M5 Max</span></div></td>
+      <td class="num vram">64 GB</td>
+      <td class="num">3</td>
+      <td class="num"><span class="qbar"><i style="width:86%;background:#4ade80"></i></span><b>85.8</b></td>
+      <td class="num">112.0</td>
+<td class="num sc">82.8</td>      <td class="num sc">84.9</td>      <td class="num sc">89.8</td>      <td class="num sc">85.6</td>
+      <td class="num updated">2026-09-11</td>
+    </tr>
+    <tr style="cursor:pointer" title="Open on llm-bench.io">
+      <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Dirk-Qwen3.8-27B-UD-IQ4_XS" target="_blank" rel="noopener">Dirk-Qwen3.8-27B-UD-IQ4_XS</a>
+        <span class="model-hw">NVIDIA GeForce RTX 5060</span></div></td>
+      <td class="num vram">8 GB</td>
+      <td class="num">3</td>
+      <td class="num"><span class="qbar"><i style="width:86%;background:#4ade80"></i></span><b>85.8</b></td>
+      <td class="num">37.7</td>
+<td class="num sc">80.3</td>      <td class="num sc">85.8</td>      <td class="num sc">89.5</td>      <td class="num sc">87.5</td>
+      <td class="num updated">2026-09-11</td>
+    </tr>
     <tr style="cursor:pointer" title="Open on llm-bench.io">
       <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=mtplx-qwen38-27b-optimized-quality" target="_blank" rel="noopener">mtplx-qwen38-27b-optimized-quality</a>
         <span class="model-hw">Apple M4 Max</span></div></td>
@@ -199,16 +219,6 @@ footer a:hover{text-decoration:underline}
 <td class="num sc">74.1</td>      <td class="num sc">87.4</td>      <td class="num sc">91.2</td>      <td class="num sc">85.6</td>
       <td class="num updated">2026-08-28</td>
     </tr>
-    <tr style="cursor:pointer" title="Open on llm-bench.io">
-      <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Qwen3.8-Flash-Next-oQ5e-mtp" target="_blank" rel="noopener">Qwen3.8-Flash-Next-oQ5e-mtp</a>
-        <span class="model-hw">Apple M4 Max</span></div></td>
-      <td class="num vram">128 GB</td>
-      <td class="num">10</td>
-      <td class="num"><span class="qbar"><i style="width:84%;background:#facc15"></i></span><b>84.0</b></td>
-      <td class="num">37.6</td>
-<td class="num sc">76.0</td>      <td class="num sc">84.7</td>      <td class="num sc">89.8</td>      <td class="num sc">85.5</td>
-      <td class="num updated">2026-09-09</td>
-    </tr>
     <tr style="cursor:pointer" title="Open on llm-bench.io">
       <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Qwen3.8-27B-oQ4-mtp" target="_blank" rel="noopener">Qwen3.8-27B-oQ4-mtp</a>
         <span class="model-hw">Apple M5 Max</span></div></td>
@@ -216,7 +226,7 @@ footer a:hover{text-decoration:underline}
       <td class="num">4</td>
       <td class="num"><span class="qbar"><i style="width:84%;background:#facc15"></i></span><b>83.9</b></td>
       <td class="num">42.8</td>
-<td class="num sc">75.4</td>      <td class="num sc">89.2</td>      <td class="num sc">85.0</td>      <td class="num sc">86.1</td>
+<td class="num sc">75.4</td>      <td class="num sc">89.1</td>      <td class="num sc">85.0</td>      <td class="num sc">86.1</td>
       <td class="num updated">2026-08-28</td>
     </tr>
     <tr style="cursor:pointer" title="Open on llm-bench.io">
@@ -250,14 +260,24 @@ footer a:hover{text-decoration:underline}
       <td class="num updated">2026-09-07</td>
     </tr>
     <tr style="cursor:pointer" title="Open on llm-bench.io">
-      <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Tiel-Coder-35B-A3B-MTP-UD-IQ3_XXS" target="_blank" rel="noopener">Tiel-Coder-35B-A3B-MTP-UD-IQ3_XXS</a>
-        <span class="model-hw">NVIDIA GeForce RTX 5060</span></div></td>
-      <td class="num vram">8 GB</td>
-      <td class="num">3</td>
+      <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Qwen3.8-27B-oQ8e-mtp" target="_blank" rel="noopener">Qwen3.8-27B-oQ8e-mtp</a>
+        <span class="model-hw">Apple M4 Max</span></div></td>
+      <td class="num vram">128 GB</td>
+      <td class="num">5</td>
       <td class="num"><span class="qbar"><i style="width:84%;background:#facc15"></i></span><b>83.7</b></td>
-      <td class="num">90.0</td>
-<td class="num sc">78.4</td>      <td class="num sc">86.7</td>      <td class="num sc">85.4</td>      <td class="num sc">84.3</td>
-      <td class="num updated">2026-09-09</td>
+      <td class="num">31.1</td>
+<td class="num sc">78.6</td>      <td class="num sc">84.9</td>      <td class="num sc">84.8</td>      <td class="num sc">86.4</td>
+      <td class="num updated">2026-09-13</td>
+    </tr>
+    <tr style="cursor:pointer" title="Open on llm-bench.io">
+      <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=K2-Horizon-MoVA-36B-A4B-MLX-4bit" target="_blank" rel="noopener">K2-Horizon-MoVA-36B-A4B-MLX-4bit</a>
+        <span class="model-hw">Apple M5 Max</span></div></td>
+      <td class="num vram">64 GB</td>
+      <td class="num">3</td>
+      <td class="num"><span class="qbar"><i style="width:84%;background:#facc15"></i></span><b>83.6</b></td>
+      <td class="num">48.5</td>
+<td class="num sc">82.5</td>      <td class="num sc">90.8</td>      <td class="num sc">76.1</td>      <td class="num sc">84.9</td>
+      <td class="num updated">2026-09-11</td>
     </tr>
     <tr style="cursor:pointer" title="Open on llm-bench.io">
       <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Qwen3.8-27B-oQ4e-mtp" target="_blank" rel="noopener">Qwen3.8-27B-oQ4e-mtp</a>
@@ -289,6 +309,16 @@ footer a:hover{text-decoration:underline}
 <td class="num sc">80.7</td>      <td class="num sc">82.7</td>      <td class="num sc">85.6</td>      <td class="num sc">84.4</td>
       <td class="num updated">2026-08-25</td>
     </tr>
+    <tr style="cursor:pointer" title="Open on llm-bench.io">
+      <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Tiel-Coder-35B-A3B-MTP-UD-IQ3_XXS" target="_blank" rel="noopener">Tiel-Coder-35B-A3B-MTP-UD-IQ3_XXS</a>
+        <span class="model-hw">NVIDIA GeForce RTX 5060</span></div></td>
+      <td class="num vram">8 GB</td>
+      <td class="num">6</td>
+      <td class="num"><span class="qbar"><i style="width:83%;background:#facc15"></i></span><b>83.4</b></td>
+      <td class="num">102.1</td>
+<td class="num sc">77.2</td>      <td class="num sc">88.7</td>      <td class="num sc">83.2</td>      <td class="num sc">84.6</td>
+      <td class="num updated">2026-09-11</td>
+    </tr>
     <tr style="cursor:pointer" title="Open on llm-bench.io">
       <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Qwen3.8-27B-UD-IQ3_S" target="_blank" rel="noopener">Qwen3.8-27B-UD-IQ3_S</a>
         <span class="model-hw">NVIDIA GeForce RTX 4080 SUPER</span></div></td>
@@ -299,6 +329,26 @@ footer a:hover{text-decoration:underline}
 <td class="num sc">77.8</td>      <td class="num sc">81.6</td>      <td class="num sc">87.8</td>      <td class="num sc">85.7</td>
       <td class="num updated">2026-09-05</td>
     </tr>
+    <tr style="cursor:pointer" title="Open on llm-bench.io">
+      <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Qwen3.8-Flash-Next-Q5GU-Q6Attn-g64-BF16-PLE-MLX-MTP-Q8" target="_blank" rel="noopener">Qwen3.8-Flash-Next-Q5GU-Q6Attn-g64-BF16-PLE-MLX-MTP-Q8</a>
+        <span class="model-hw">Apple M4 Max</span></div></td>
+      <td class="num vram">128 GB</td>
+      <td class="num">3</td>
+      <td class="num"><span class="qbar"><i style="width:83%;background:#facc15"></i></span><b>82.9</b></td>
+      <td class="num">51.8</td>
+<td class="num sc">76.6</td>      <td class="num sc">84.1</td>      <td class="num sc">86.2</td>      <td class="num sc">84.7</td>
+      <td class="num updated">2026-09-12</td>
+    </tr>
+    <tr style="cursor:pointer" title="Open on llm-bench.io">
+      <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Qwen3.8-Flash-Next-oQ5e-mtp" target="_blank" rel="noopener">Qwen3.8-Flash-Next-oQ5e-mtp</a>
+        <span class="model-hw">Apple M4 Max</span></div></td>
+      <td class="num vram">128 GB</td>
+      <td class="num">64</td>
+      <td class="num"><span class="qbar"><i style="width:83%;background:#facc15"></i></span><b>82.8</b></td>
+      <td class="num">56.3</td>
+<td class="num sc">74.0</td>      <td class="num sc">84.0</td>      <td class="num sc">89.3</td>      <td class="num sc">83.9</td>
+      <td class="num updated">2026-09-13</td>
+    </tr>
     <tr style="cursor:pointer" title="Open on llm-bench.io">
       <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=qwen3.8%3A27b" target="_blank" rel="noopener">qwen3.8:27b</a>
         <span class="model-hw">AMD Radeon RX 7900 XT/7900 XTX/7900 GRE/7900M</span></div></td>
@@ -319,16 +369,6 @@ footer a:hover{text-decoration:underline}
 <td class="num sc">75.9</td>      <td class="num sc">82.2</td>      <td class="num sc">85.1</td>      <td class="num sc">87.1</td>
       <td class="num updated">2026-09-07</td>
     </tr>
-    <tr style="cursor:pointer" title="Open on llm-bench.io">
-      <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Qwen3.8-Flash-Next-oQ4e-mtp" target="_blank" rel="noopener">Qwen3.8-Flash-Next-oQ4e-mtp</a>
-        <span class="model-hw">Apple M4 Max</span></div></td>
-      <td class="num vram">128 GB</td>
-      <td class="num">22</td>
-      <td class="num"><span class="qbar"><i style="width:82%;background:#facc15"></i></span><b>82.2</b></td>
-      <td class="num">40.7</td>
-<td class="num sc">72.6</td>      <td class="num sc">83.5</td>      <td class="num sc">87.9</td>      <td class="num sc">84.9</td>
-      <td class="num updated">2026-09-07</td>
-    </tr>
     <tr style="cursor:pointer" title="Open on llm-bench.io">
       <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Tiel-Coder-35B-A3B-MLX-oQ4e-MTP" target="_blank" rel="noopener">Tiel-Coder-35B-A3B-MLX-oQ4e-MTP</a>
         <span class="model-hw">Apple M5 Max</span></div></td>
@@ -339,26 +379,6 @@ footer a:hover{text-decoration:underline}
 <td class="num sc">76.3</td>      <td class="num sc">84.4</td>      <td class="num sc">82.3</td>      <td class="num sc">85.3</td>
       <td class="num updated">2026-09-07</td>
     </tr>
-    <tr style="cursor:pointer" title="Open on llm-bench.io">
-      <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Muse-Glimmer-30B-4bit" target="_blank" rel="noopener">Muse-Glimmer-30B-4bit</a>
-        <span class="model-hw">Apple M5 Max</span></div></td>
-      <td class="num vram">64 GB</td>
-      <td class="num">3</td>
-      <td class="num"><span class="qbar"><i style="width:82%;background:#facc15"></i></span><b>82.1</b></td>
-      <td class="num">29.9</td>
-<td class="num sc">68.6</td>      <td class="num sc">89.3</td>      <td class="num sc">89.6</td>      <td class="num sc">80.9</td>
-      <td class="num updated">2026-08-13</td>
-    </tr>
-    <tr style="cursor:pointer" title="Open on llm-bench.io">
-      <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=muse-glimmer%3Alatest" target="_blank" rel="noopener">muse-glimmer:latest</a>
-        <span class="model-hw">AMD Radeon RX 7900 XTX</span></div></td>
-      <td class="num vram">23 GB</td>
-      <td class="num">4</td>
-      <td class="num"><span class="qbar"><i style="width:82%;background:#facc15"></i></span><b>82.0</b></td>
-      <td class="num">34.5</td>
-<td class="num sc">71.5</td>      <td class="num sc">93.0</td>      <td class="num sc">79.7</td>      <td class="num sc">83.6</td>
-      <td class="num updated">2026-08-25</td>
-    </tr>
     <tr style="cursor:pointer" title="Open on llm-bench.io">
       <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Qwen3.8-27B-4bit" target="_blank" rel="noopener">Qwen3.8-27B-4bit</a>
         <span class="model-hw">Apple M5 Max</span></div></td>
@@ -369,6 +389,46 @@ footer a:hover{text-decoration:underline}
 <td class="num sc">76.8</td>      <td class="num sc">78.0</td>      <td class="num sc">89.2</td>      <td class="num sc">83.4</td>
       <td class="num updated">2026-08-22</td>
     </tr>
+    <tr style="cursor:pointer" title="Open on llm-bench.io">
+      <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Qwen3.8-Flash-Next-oQ4e-mtp" target="_blank" rel="noopener">Qwen3.8-Flash-Next-oQ4e-mtp</a>
+        <span class="model-hw">Apple M4 Max</span></div></td>
+      <td class="num vram">128 GB</td>
+      <td class="num">50</td>
+      <td class="num"><span class="qbar"><i style="width:82%;background:#facc15"></i></span><b>81.8</b></td>
+      <td class="num">54.2</td>
+<td class="num sc">72.3</td>      <td class="num sc">83.1</td>      <td class="num sc">87.4</td>      <td class="num sc">84.4</td>
+      <td class="num updated">2026-09-13</td>
+    </tr>
+    <tr style="cursor:pointer" title="Open on llm-bench.io">
+      <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Tiel-Coder-35B-A3B-MTP-UD-Q2_K_XL" target="_blank" rel="noopener">Tiel-Coder-35B-A3B-MTP-UD-Q2_K_XL</a>
+        <span class="model-hw">NVIDIA GeForce RTX 5060</span></div></td>
+      <td class="num vram">8 GB</td>
+      <td class="num">4</td>
+      <td class="num"><span class="qbar"><i style="width:82%;background:#facc15"></i></span><b>81.7</b></td>
+      <td class="num">108.1</td>
+<td class="num sc">77.3</td>      <td class="num sc">80.5</td>      <td class="num sc">83.7</td>      <td class="num sc">85.4</td>
+      <td class="num updated">2026-09-11</td>
+    </tr>
+    <tr style="cursor:pointer" title="Open on llm-bench.io">
+      <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Qwen3.8-Flash-Next-oQ4e-mtp-BF16PLE-v1" target="_blank" rel="noopener">Qwen3.8-Flash-Next-oQ4e-mtp-BF16PLE-v1</a>
+        <span class="model-hw">Apple M4 Max</span></div></td>
+      <td class="num vram">128 GB</td>
+      <td class="num">19</td>
+      <td class="num"><span class="qbar"><i style="width:82%;background:#facc15"></i></span><b>81.7</b></td>
+      <td class="num">53.6</td>
+<td class="num sc">65.0</td>      <td class="num sc">82.8</td>      <td class="num sc">90.1</td>      <td class="num sc">88.9</td>
+      <td class="num updated">2026-09-13</td>
+    </tr>
+    <tr style="cursor:pointer" title="Open on llm-bench.io">
+      <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Qwen3.8-Flash-Next-Dynamic-oQ4e-Q4GU-g64-BF16-PLE-MLX-mtp" target="_blank" rel="noopener">Qwen3.8-Flash-Next-Dynamic-oQ4e-Q4GU-g64-BF16-PLE-MLX-mtp</a>
+        <span class="model-hw">Apple M4 Max</span></div></td>
+      <td class="num vram">128 GB</td>
+      <td class="num">3</td>
+      <td class="num"><span class="qbar"><i style="width:82%;background:#facc15"></i></span><b>81.7</b></td>
+      <td class="num">48.7</td>
+<td class="num sc">69.0</td>      <td class="num sc">86.2</td>      <td class="num sc">85.1</td>      <td class="num sc">86.6</td>
+      <td class="num updated">2026-09-12</td>
+    </tr>
     <tr style="cursor:pointer" title="Open on llm-bench.io">
       <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Cyber-Tiel-Coder-35B-A3B-MTP-UD-IQ3_XXS" target="_blank" rel="noopener">Cyber-Tiel-Coder-35B-A3B-MTP-UD-IQ3_XXS</a>
         <span class="model-hw">NVIDIA GeForce RTX 5060</span></div></td>
@@ -389,6 +449,16 @@ footer a:hover{text-decoration:underline}
 <td class="num sc">78.7</td>      <td class="num sc">76.5</td>      <td class="num sc">85.7</td>      <td class="num sc">85.0</td>
       <td class="num updated">2026-09-05</td>
     </tr>
+    <tr style="cursor:pointer" title="Open on llm-bench.io">
+      <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Qwen3.8-Flash-Next-Q6Experts-g128-Q6Attn-g64-BF16-PLE-MLX-MTP-Q8" target="_blank" rel="noopener">Qwen3.8-Flash-Next-Q6Experts-g128-Q6Attn-g64-BF16-PLE-MLX-MTP-Q8</a>
+        <span class="model-hw">Apple M4 Max</span></div></td>
+      <td class="num vram">128 GB</td>
+      <td class="num">3</td>
+      <td class="num"><span class="qbar"><i style="width:81%;background:#facc15"></i></span><b>81.3</b></td>
+      <td class="num">59.5</td>
+<td class="num sc">69.3</td>      <td class="num sc">84.2</td>      <td class="num sc">91.5</td>      <td class="num sc">80.0</td>
+      <td class="num updated">2026-09-12</td>
+    </tr>
     <tr style="cursor:pointer" title="Open on llm-bench.io">
       <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Qwen3.8-27B-oQ8e-mtp" target="_blank" rel="noopener">Qwen3.8-27B-oQ8e-mtp</a>
         <span class="model-hw">Apple M5 Max</span></div></td>
@@ -399,6 +469,16 @@ footer a:hover{text-decoration:underline}
 <td class="num sc">70.7</td>      <td class="num sc">82.2</td>      <td class="num sc">88.1</td>      <td class="num sc">84.4</td>
       <td class="num updated">2026-09-10</td>
     </tr>
+    <tr style="cursor:pointer" title="Open on llm-bench.io">
+      <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Qwen3.8-Flash-Next-GPTQ6Experts-Q6Attn-BF16-PLE-MLX-MTP-Q8-GPTQ4Head" target="_blank" rel="noopener">Qwen3.8-Flash-Next-GPTQ6Experts-Q6Attn-BF16-PLE-MLX-MTP-Q8-GPTQ4Head</a>
+        <span class="model-hw">Apple M4 Max</span></div></td>
+      <td class="num vram">128 GB</td>
+      <td class="num">4</td>
+      <td class="num"><span class="qbar"><i style="width:81%;background:#facc15"></i></span><b>81.1</b></td>
+      <td class="num">63.8</td>
+<td class="num sc">70.3</td>      <td class="num sc">85.2</td>      <td class="num sc">87.0</td>      <td class="num sc">82.0</td>
+      <td class="num updated">2026-09-12</td>
+    </tr>
     <tr style="cursor:pointer" title="Open on llm-bench.io">
       <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=unsloth%2FQwen3.8-27B-GGUF%3AUD-Q8_K_XL" target="_blank" rel="noopener">unsloth/Qwen3.8-27B-GGUF:UD-Q8_K_XL</a>
         <span class="model-hw">Apple M5 Max</span></div></td>
@@ -429,6 +509,16 @@ footer a:hover{text-decoration:underline}
 <td class="num sc">72.7</td>      <td class="num sc">77.3</td>      <td class="num sc">88.2</td>      <td class="num sc">84.6</td>
       <td class="num updated">2026-09-04</td>
     </tr>
+    <tr style="cursor:pointer" title="Open on llm-bench.io">
+      <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Nex-N2.5-mini-MLX-4bit" target="_blank" rel="noopener">Nex-N2.5-mini-MLX-4bit</a>
+        <span class="model-hw">Apple M5 Max</span></div></td>
+      <td class="num vram">64 GB</td>
+      <td class="num">20</td>
+      <td class="num"><span class="qbar"><i style="width:80%;background:#facc15"></i></span><b>80.3</b></td>
+      <td class="num">137.0</td>
+<td class="num sc">73.9</td>      <td class="num sc">81.2</td>      <td class="num sc">81.1</td>      <td class="num sc">85.1</td>
+      <td class="num updated">2026-09-12</td>
+    </tr>
     <tr style="cursor:pointer" title="Open on llm-bench.io">
       <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=qwen3_coder_next" target="_blank" rel="noopener">qwen3_coder_next</a>
         <span class="model-hw">NVIDIA GeForce RTX 3080</span></div></td>
@@ -509,6 +599,16 @@ footer a:hover{text-decoration:underline}
 <td class="num sc">70.3</td>      <td class="num sc">83.8</td>      <td class="num sc">71.6</td>      <td class="num sc">76.7</td>
       <td class="num updated">2026-09-09</td>
     </tr>
+    <tr style="cursor:pointer" title="Open on llm-bench.io">
+      <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=gemma-4-26B-A4B-it-UD-IQ4_NL" target="_blank" rel="noopener">gemma-4-26B-A4B-it-UD-IQ4_NL</a>
+        <span class="model-hw">NVIDIA GeForce RTX 5060</span></div></td>
+      <td class="num vram">8 GB</td>
+      <td class="num">3</td>
+      <td class="num"><span class="qbar"><i style="width:74%;background:#f87171"></i></span><b>74.5</b></td>
+      <td class="num">83.2</td>
+<td class="num sc">67.6</td>      <td class="num sc">82.5</td>      <td class="num sc">80.5</td>      <td class="num sc">67.5</td>
+      <td class="num updated">2026-09-12</td>
+    </tr>
     <tr style="cursor:pointer" title="Open on llm-bench.io">
       <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=gemma-4-26b-a4b-q4kxl" target="_blank" rel="noopener">gemma-4-26b-a4b-q4kxl</a>
         <span class="model-hw">AMD Radeon RX 7900 XT/7900 XTX/7900 GRE/7900M</span></div></td>
@@ -516,7 +616,7 @@ footer a:hover{text-decoration:underline}
       <td class="num">3</td>
       <td class="num"><span class="qbar"><i style="width:70%;background:#f87171"></i></span><b>69.5</b></td>
       <td class="num">169.9</td>
-<td class="num sc">67.9</td>      <td class="num sc">75.2</td>      <td class="num sc">79.9</td>      <td class="num sc">55.2</td>
+<td class="num sc">67.9</td>      <td class="num sc">75.2</td>      <td class="num sc">79.8</td>      <td class="num sc">55.2</td>
       <td class="num updated">2026-09-05</td>
     </tr>
     <tr style="cursor:pointer" title="Open on llm-bench.io">
@@ -529,6 +629,16 @@ footer a:hover{text-decoration:underline}
 <td class="num sc">60.5</td>      <td class="num sc">81.7</td>      <td class="num sc">70.1</td>      <td class="num sc">64.3</td>
       <td class="num updated">2026-08-24</td>
     </tr>
+    <tr style="cursor:pointer" title="Open on llm-bench.io">
+      <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=qwen3.5-9b-mtp%40q8_0" target="_blank" rel="noopener">qwen3.5-9b-mtp@q8_0</a>
+        <span class="model-hw">AMD Radeon RX 7600 XT</span></div></td>
+      <td class="num vram">15 GB</td>
+      <td class="num">3</td>
+      <td class="num"><span class="qbar"><i style="width:68%;background:#f87171"></i></span><b>67.5</b></td>
+      <td class="num">41.8</td>
+<td class="num sc">56.2</td>      <td class="num sc">62.6</td>      <td class="num sc">80.5</td>      <td class="num sc">70.7</td>
+      <td class="num updated">2026-09-11</td>
+    </tr>
     <tr style="cursor:pointer" title="Open on llm-bench.io">
       <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=qwen36-35b_VISION" target="_blank" rel="noopener">qwen36-35b_VISION</a>
         <span class="model-hw">NVIDIA GeForce RTX 3080</span></div></td>
@@ -546,7 +656,7 @@ footer a:hover{text-decoration:underline}
       <td class="num">4</td>
       <td class="num"><span class="qbar"><i style="width:67%;background:#f87171"></i></span><b>66.8</b></td>
       <td class="num">31.6</td>
-<td class="num sc">65.7</td>      <td class="num sc">59.9</td>      <td class="num sc">68.0</td>      <td class="num sc">73.8</td>
+<td class="num sc">65.6</td>      <td class="num sc">59.9</td>      <td class="num sc">68.0</td>      <td class="num sc">73.8</td>
       <td class="num updated">2026-09-01</td>
     </tr>
     <tr style="cursor:pointer" title="Open on llm-bench.io">
@@ -579,6 +689,26 @@ footer a:hover{text-decoration:underline}
 <td class="num sc">11.7</td>      <td class="num sc">55.2</td>      <td class="num sc">76.6</td>      <td class="num sc">73.8</td>
       <td class="num updated">2026-08-25</td>
     </tr>
+    <tr style="cursor:pointer" title="Open on llm-bench.io">
+      <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=ling-oq4e" target="_blank" rel="noopener">ling-oq4e</a>
+        <span class="model-hw">Apple M1</span></div></td>
+      <td class="num vram">16 GB</td>
+      <td class="num">4</td>
+      <td class="num"><span class="qbar"><i style="width:46%;background:#f87171"></i></span><b>46.1</b></td>
+      <td class="num">47.6</td>
+<td class="num sc">6.2</td>      <td class="num sc">64.1</td>      <td class="num sc">59.5</td>      <td class="num sc">54.8</td>
+      <td class="num updated">2026-09-12</td>
+    </tr>
+    <tr style="cursor:pointer" title="Open on llm-bench.io">
+      <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=ling-oq8e" target="_blank" rel="noopener">ling-oq8e</a>
+        <span class="model-hw">Apple M1</span></div></td>
+      <td class="num vram">16 GB</td>
+      <td class="num">6</td>
+      <td class="num"><span class="qbar"><i style="width:44%;background:#f87171"></i></span><b>44.0</b></td>
+      <td class="num">33.8</td>
+<td class="num sc">6.0</td>      <td class="num sc">73.7</td>      <td class="num sc">45.3</td>      <td class="num sc">51.1</td>
+      <td class="num updated">2026-09-12</td>
+    </tr>
     <tr style="cursor:pointer" title="Open on llm-bench.io">
       <td><div class="model-cell"><a class="model-name" href="https://llm-bench.io/benchmarks?model=Qwen3.8-27B-oQ2e-mtp" target="_blank" rel="noopener">Qwen3.8-27B-oQ2e-mtp</a>
         <span class="model-hw">Apple M5 Max</span></div></td>
@@ -594,7 +724,7 @@ footer a:hover{text-decoration:underline}
   </div>
 
   <footer>
-    <span>Data: last <b id="win">30</b> days, ≥ <b id="minr">3</b> runs per model · generated <span id="gen">11 Sep 2026</span></span>
+    <span>Data: last <b id="win">30</b> days, ≥ <b id="minr">3</b> runs per model · generated <span id="gen">13 Sep 2026</span></span>
     <span>·</span>
     <span>Methodology: <a href="https://llm-bench.io/benchmark-methodology" target="_blank" rel="noopener">how we measure</a></span>
     <span>·</span>