add Qwen3-VL-8B-Instruct

index.html

@@ -706,8 +706,44 @@
                         <td class="num mono" data-label="Всего токенов">137,855</td>
                     </tr>
                     
-                    <tr data-model="openrouter/moonshotai/kimi-k2-0905">
+                    <tr data-model="openrouter/qwen/qwen3-vl-8b-instruct">
                         <td class="rank mono sticky-0" data-label="#">#18</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">
+                            
+                            0.24 ± 0.03
+                            
+                        </td>
+                        <td class="num mono" data-label="Обычные/1000">
+                            
+                            1.02 ± 0.05
+                            
+                        </td>
+                        <td class="num mono" data-label="Доп./1000">
+                            
+                            0.32 ± 0.01
+                            
+                        </td>
+                        <td data-label="Нормировано ошибок">
+                            <div class="score-cell">
+                                <div class="progress-bar">
+                                    
+                                    
+                                    
+                                    <div class="progress-fill" style="width: 40.07220216606498%"></div>
+                                </div>
+                                <span class="score-value">
+                                    
+                                    1.66 ± 0.11
+                                    
+                                </span>
+                            </div>
+                        </td>
+                        <td class="num mono" data-label="Всего токенов">165,307</td>
+                    </tr>
+                    
+                    <tr data-model="openrouter/moonshotai/kimi-k2-0905">
+                        <td class="rank mono sticky-0" data-label="#">#19</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">
                             
@@ -743,7 +779,7 @@
                     </tr>
                     
                     <tr data-model="openrouter/z-ai/glm-4.6">
-                        <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">GLM-4.6 (Z.ai API)</td>
                         <td class="num mono" data-label="Критичные/1000">
                             
@@ -779,7 +815,7 @@
                     </tr>
                     
                     <tr data-model="openrouter/openai/gpt-5">
-                        <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">GPT-5 (reasoning: minimal)</td>
                         <td class="num mono" data-label="Критичные/1000">
                             
@@ -815,7 +851,7 @@
                     </tr>
                     
                     <tr data-model="openrouter/openai/gpt-5">
-                        <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">GPT-5 (reasoning: low)</td>
                         <td class="num mono" data-label="Критичные/1000">
                             
@@ -851,7 +887,7 @@
                     </tr>
                     
                     <tr data-model="openai/nvidia/NVIDIA-Nemotron-Nano-12B-v2">
-                        <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">nvidia/NVIDIA-Nemotron-Nano-12B-v2 (vllm, reasoning=false)</td>
                         <td class="num mono" data-label="Критичные/1000">
                             
@@ -887,7 +923,7 @@
                     </tr>
                     
                     <tr data-model="openrouter/openai/gpt-oss-120b">
-                        <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">GPT-OSS-120B (Vertex AI API)</td>
                         <td class="num mono" data-label="Критичные/1000">
                             
@@ -923,7 +959,7 @@
                     </tr>
                     
                     <tr data-model="openrouter/mistralai/mistral-nemo">
-                        <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">Mistral-Nemo (Mistral API)</td>
                         <td class="num mono" data-label="Критичные/1000">
                             
@@ -981,7 +1017,7 @@
         </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: 2025-10-23 17:11:18 | Всего моделей: 24 | <a href="https://github.com/kristaller486/RuQualBench">GitHub</a> | <a href="https://t.me/krists">Telegram</a>
+            Обновлено: 2025-10-24 14:31:35 | Всего моделей: 25 | <a href="https://github.com/kristaller486/RuQualBench">GitHub</a> | <a href="https://t.me/krists">Telegram</a>
         </p>
     </div>
     <script>