add Qwen/Qwen3-235B-A22B-Instruct-2507 (Vertex AI API)

index.html

@@ -310,8 +310,44 @@
                         <td class="num mono" data-label="Всего токенов">101,336</td>
                     </tr>
                     
-                    <tr data-model="openai/mistralai/Mistral-Small-3.2-24B-Instruct-2506">
+                    <tr data-model="openrouter/qwen/qwen3-235b-a22b-2507">
                         <td class="rank mono sticky-0" data-label="#">#7</td>
+                        <td class="model-name sticky-1" data-label="Модель">Qwen/Qwen3-235B-A22B-Instruct-2507 (Vertex AI API)</td>
+                        <td class="num mono" data-label="Критичные/1000">
+                            
+                            0.09 ± 0.01
+                            
+                        </td>
+                        <td class="num mono" data-label="Обычные/1000">
+                            
+                            0.33 ± 0.06
+                            
+                        </td>
+                        <td class="num mono" data-label="Доп./1000">
+                            
+                            0.17 ± 0.03
+                            
+                        </td>
+                        <td data-label="Нормировано ошибок">
+                            <div class="score-cell">
+                                <div class="progress-bar">
+                                    
+                                    
+                                    
+                                    <div class="progress-fill" style="width: 86.11111111111111%"></div>
+                                </div>
+                                <span class="score-value">
+                                    
+                                    0.60 ± 0.07
+                                    
+                                </span>
+                            </div>
+                        </td>
+                        <td class="num mono" data-label="Всего токенов">133,057</td>
+                    </tr>
+                    
+                    <tr data-model="openai/mistralai/Mistral-Small-3.2-24B-Instruct-2506">
+                        <td class="rank mono sticky-0" data-label="#">#8</td>
                         <td class="model-name sticky-1" data-label="Модель">Mistral-Small-3.2-24B-Instruct-2506 (vllm)</td>
                         <td class="num mono" data-label="Критичные/1000">
                             
@@ -347,7 +383,7 @@
                     </tr>
                     
                     <tr data-model="openrouter/deepseek/deepseek-chat">
-                        <td class="rank mono sticky-0" data-label="#">#8</td>
+                        <td class="rank mono sticky-0" data-label="#">#9</td>
                         <td class="model-name sticky-1" data-label="Модель">DeepSeek V3 (Novita API)</td>
                         <td class="num mono" data-label="Критичные/1000">
                             
@@ -383,7 +419,7 @@
                     </tr>
                     
                     <tr data-model="openai/RefalMachine/RuadaptQwen3-32B-Instruct">
-                        <td class="rank mono sticky-0" data-label="#">#9</td>
+                        <td class="rank mono sticky-0" data-label="#">#10</td>
                         <td class="model-name sticky-1" data-label="Модель">RefalMachine/RuadaptQwen3-32B-Instruct (SGLang)</td>
                         <td class="num mono" data-label="Критичные/1000">
                             
@@ -419,7 +455,7 @@
                     </tr>
                     
                     <tr data-model="openai/yandex/YandexGPT-5-Lite-8B-instruct">
-                        <td class="rank mono sticky-0" data-label="#">#10</td>
+                        <td class="rank mono sticky-0" data-label="#">#11</td>
                         <td class="model-name sticky-1" data-label="Модель">yandex/YandexGPT-5-Lite-8B-instruct (SGLang)</td>
                         <td class="num mono" data-label="Критичные/1000">
                             
@@ -455,7 +491,7 @@
                     </tr>
                     
                     <tr data-model="openrouter/anthropic/claude-haiku-4.5">
-                        <td class="rank mono sticky-0" data-label="#">#11</td>
+                        <td class="rank mono sticky-0" data-label="#">#12</td>
                         <td class="model-name sticky-1" data-label="Модель">Claude Haiku 4.5</td>
                         <td class="num mono" data-label="Критичные/1000">
                             
@@ -491,7 +527,7 @@
                     </tr>
                     
                     <tr data-model="openai/Qwen/Qwen3-VL-32B-Instruct">
-                        <td class="rank mono sticky-0" data-label="#">#12</td>
+                        <td class="rank mono sticky-0" data-label="#">#13</td>
                         <td class="model-name sticky-1" data-label="Модель">Qwen3-VL-32B-Instruct (SGLang)</td>
                         <td class="num mono" data-label="Критичные/1000">
                             
@@ -527,7 +563,7 @@
                     </tr>
                     
                     <tr data-model="openai/AvitoTech/avibe">
-                        <td class="rank mono sticky-0" data-label="#">#13</td>
+                        <td class="rank mono sticky-0" data-label="#">#14</td>
                         <td class="model-name sticky-1" data-label="Модель">AvitoTech/avibe</td>
                         <td class="num mono" data-label="Критичные/1000">
                             
@@ -563,7 +599,7 @@
                     </tr>
                     
                     <tr data-model="openai/ai-sage/GigaChat-20B-A3B-instruct-v1.5-bf16">
-                        <td class="rank mono sticky-0" data-label="#">#14</td>
+                        <td class="rank mono sticky-0" data-label="#">#15</td>
                         <td class="model-name sticky-1" data-label="Модель">GigaChat-20B-A3B-instruct-v1.5 (SGLang)</td>
                         <td class="num mono" data-label="Критичные/1000">
                             
@@ -599,7 +635,7 @@
                     </tr>
                     
                     <tr data-model="litellm_proxy/deepseek-v3">
-                        <td class="rank mono sticky-0" data-label="#">#15</td>
+                        <td class="rank mono sticky-0" data-label="#">#16</td>
                         <td class="model-name sticky-1" data-label="Модель">Deepseek V3.2-Exp (Deepseek API)</td>
                         <td class="num mono" data-label="Критичные/1000">
                             
@@ -635,7 +671,7 @@
                     </tr>
                     
                     <tr data-model="openrouter/qwen/qwen3-next-80b-a3b-instruct">
-                        <td class="rank mono sticky-0" data-label="#">#16</td>
+                        <td class="rank mono sticky-0" data-label="#">#17</td>
                         <td class="model-name sticky-1" data-label="Модель">Qwen3-Next-80B-A3B-Instruct (Alibaba API)</td>
                         <td class="num mono" data-label="Критичные/1000">
                             
@@ -671,7 +707,7 @@
                     </tr>
                     
                     <tr data-model="openrouter/baidu/ernie-4.5-300b-a47b">
-                        <td class="rank mono sticky-0" data-label="#">#17</td>
+                        <td class="rank mono sticky-0" data-label="#">#18</td>
                         <td class="model-name sticky-1" data-label="Модель">baidu/ERNIE-4.5-300B-A47B-PT (Novita API)</td>
                         <td class="num mono" data-label="Критичные/1000">
                             
@@ -707,7 +743,7 @@
                     </tr>
                     
                     <tr data-model="openai/Qwen/Qwen3-32B">
-                        <td class="rank mono sticky-0" data-label="#">#18</td>
+                        <td class="rank mono sticky-0" data-label="#">#19</td>
                         <td class="model-name sticky-1" data-label="Модель">Qwen3-32B (SGLang, without reasoining)</td>
                         <td class="num mono" data-label="Критичные/1000">
                             
@@ -743,7 +779,7 @@
                     </tr>
                     
                     <tr data-model="openai/t-tech/T-pro-it-2.0">
-                        <td class="rank mono sticky-0" data-label="#">#19</td>
+                        <td class="rank mono sticky-0" data-label="#">#20</td>
                         <td class="model-name sticky-1" data-label="Модель">t-tech/T-pro-it-2.0 (SGLang, without reasoning)</td>
                         <td class="num mono" data-label="Критичные/1000">
                             
@@ -779,7 +815,7 @@
                     </tr>
                     
                     <tr data-model="openai/tiiuae/Falcon-H1-34B-Instruct">
-                        <td class="rank mono sticky-0" data-label="#">#20</td>
+                        <td class="rank mono sticky-0" data-label="#">#21</td>
                         <td class="model-name sticky-1" data-label="Модель">tiiuae/Falcon-H1-34B-Instruct (vllm)</td>
                         <td class="num mono" data-label="Критичные/1000">
                             
@@ -815,7 +851,7 @@
                     </tr>
                     
                     <tr data-model="openrouter/qwen/qwen3-235b-a22b-2507">
-                        <td class="rank mono sticky-0" data-label="#">#21</td>
+                        <td class="rank mono sticky-0" data-label="#">#22</td>
                         <td class="model-name sticky-1" data-label="Модель">Qwen3-235B-A22B-2507-Instruct (Alibaba API)</td>
                         <td class="num mono" data-label="Критичные/1000">
                             
@@ -851,7 +887,7 @@
                     </tr>
                     
                     <tr data-model="openrouter/qwen/qwen3-vl-8b-instruct">
-                        <td class="rank mono sticky-0" data-label="#">#22</td>
+                        <td class="rank mono sticky-0" data-label="#">#23</td>
                         <td class="model-name sticky-1" data-label="Модель">Qwen3-VL-8B-Instruct (Alibaba API, presence_penalty=2)</td>
                         <td class="num mono" data-label="Критичные/1000">
                             
@@ -887,7 +923,7 @@
                     </tr>
                     
                     <tr data-model="openrouter/moonshotai/kimi-k2-0905">
-                        <td class="rank mono sticky-0" data-label="#">#23</td>
+                        <td class="rank mono sticky-0" data-label="#">#24</td>
                         <td class="model-name sticky-1" data-label="Модель">moonshotai/Kimi-K2-Instruct-0905 (Novita API)</td>
                         <td class="num mono" data-label="Критичные/1000">
                             
@@ -923,7 +959,7 @@
                     </tr>
                     
                     <tr data-model="openrouter/z-ai/glm-4.6">
-                        <td class="rank mono sticky-0" data-label="#">#24</td>
+                        <td class="rank mono sticky-0" data-label="#">#25</td>
                         <td class="model-name sticky-1" data-label="Модель">GLM-4.6 (Z.ai API)</td>
                         <td class="num mono" data-label="Критичные/1000">
                             
@@ -959,7 +995,7 @@
                     </tr>
                     
                     <tr data-model="openrouter/openai/gpt-5">
-                        <td class="rank mono sticky-0" data-label="#">#25</td>
+                        <td class="rank mono sticky-0" data-label="#">#26</td>
                         <td class="model-name sticky-1" data-label="Модель">GPT-5 (reasoning: minimal)</td>
                         <td class="num mono" data-label="Критичные/1000">
                             
@@ -995,7 +1031,7 @@
                     </tr>
                     
                     <tr data-model="openrouter/openai/gpt-5">
-                        <td class="rank mono sticky-0" data-label="#">#26</td>
+                        <td class="rank mono sticky-0" data-label="#">#27</td>
                         <td class="model-name sticky-1" data-label="Модель">GPT-5 (reasoning: low)</td>
                         <td class="num mono" data-label="Критичные/1000">
                             
@@ -1031,7 +1067,7 @@
                     </tr>
                     
                     <tr data-model="openai/nvidia/NVIDIA-Nemotron-Nano-12B-v2">
-                        <td class="rank mono sticky-0" data-label="#">#27</td>
+                        <td class="rank mono sticky-0" data-label="#">#28</td>
                         <td class="model-name sticky-1" data-label="Модель">nvidia/NVIDIA-Nemotron-Nano-12B-v2 (vllm, reasoning=false)</td>
                         <td class="num mono" data-label="Критичные/1000">
                             
@@ -1067,7 +1103,7 @@
                     </tr>
                     
                     <tr data-model="openrouter/openai/gpt-oss-120b">
-                        <td class="rank mono sticky-0" data-label="#">#28</td>
+                        <td class="rank mono sticky-0" data-label="#">#29</td>
                         <td class="model-name sticky-1" data-label="Модель">GPT-OSS-120B (Vertex AI API)</td>
                         <td class="num mono" data-label="Критичные/1000">
                             
@@ -1103,7 +1139,7 @@
                     </tr>
                     
                     <tr data-model="openrouter/mistralai/mistral-nemo">
-                        <td class="rank mono sticky-0" data-label="#">#29</td>
+                        <td class="rank mono sticky-0" data-label="#">#30</td>
                         <td class="model-name sticky-1" data-label="Модель">Mistral-Nemo (Mistral API)</td>
                         <td class="num mono" data-label="Критичные/1000">
                             
@@ -1139,7 +1175,7 @@
                     </tr>
                     
                     <tr data-model="openrouter/minimax/minimax-m2:free">
-                        <td class="rank mono sticky-0" data-label="#">#30</td>
+                        <td class="rank mono sticky-0" data-label="#">#31</td>
                         <td class="model-name sticky-1" data-label="Модель">MiniMaxAI/MiniMax-M2 (Minimax API)</td>
                         <td class="num mono" data-label="Критичные/1000">
                             
@@ -1175,7 +1211,7 @@
                     </tr>
                     
                     <tr data-model="openrouter/minimax/minimax-m2:free">
-                        <td class="rank mono sticky-0" data-label="#">#31</td>
+                        <td class="rank mono sticky-0" data-label="#">#32</td>
                         <td class="model-name sticky-1" data-label="Модель">MiniMaxAI/MiniMax-M2 (Minimax API, recommend params)</td>
                         <td class="num mono" data-label="Критичные/1000">
                             
@@ -1233,7 +1269,7 @@
         </div>
         <p class="info-text">Если хотите, чтобы я добавил ту или иную модель в лидерборд - не стесняйтесь открыть issue/pull request на Github.</p>
         <p class="info-text">
-            Обновлено: 2025-10-28 09:19:30 | Всего моделей: 31 | <a href="https://github.com/kristaller486/RuQualBench">GitHub</a> | <a href="https://t.me/krists">Telegram</a>
+            Обновлено: 2025-10-28 09:56:48 | Всего моделей: 32 | <a href="https://github.com/kristaller486/RuQualBench">GitHub</a> | <a href="https://t.me/krists">Telegram</a>
         </p>
     </div>
     <script>