kristaller486 commited on
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add opus 4.5

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  1. index.html +79 -43
index.html CHANGED
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- <tr data-model="litellm_proxy/gemini/gemini-3-pro-preview">
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  <td class="rank mono sticky-0" data-label="#">#1</td>
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  <td class="model-name sticky-1" data-label="Модель">Gemini 3 Pro Preview</td>
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  </tr>
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  <tr data-model="openrouter/anthropic/claude-sonnet-4.5">
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- <td class="rank mono sticky-0" data-label="#">#2</td>
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  <td class="model-name sticky-1" data-label="Модель">Claude Sonnet 4.5</td>
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  <td class="num mono" data-label="Критичные/1000">
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@@ -167,7 +203,7 @@
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  </tr>
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  <tr data-model="openrouter/openai/gpt-4o">
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- <td class="rank mono sticky-0" data-label="#">#3</td>
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  <td class="model-name sticky-1" data-label="Модель">GPT-4o</td>
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  <td class="num mono" data-label="Критичные/1000">
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@@ -203,7 +239,7 @@
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  </tr>
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  <tr data-model="litellm_proxy/gemini-2.5-flash">
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- <td class="rank mono sticky-0" data-label="#">#4</td>
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  <td class="model-name sticky-1" data-label="Модель">Gemini 2.5 Flash (GA)</td>
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  <td class="num mono" data-label="Критичные/1000">
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@@ -239,7 +275,7 @@
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  </tr>
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  <tr data-model="openrouter/minimax/minimax-01">
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- <td class="rank mono sticky-0" data-label="#">#5</td>
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  <td class="model-name sticky-1" data-label="Модель">MiniMaxAI/MiniMax-Text-01 (Minimax API)</td>
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  <td class="num mono" data-label="Критичные/1000">
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@@ -275,7 +311,7 @@
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  </tr>
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  <tr data-model="openai/Vikhrmodels/Vistral-24B-Instruct">
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- <td class="rank mono sticky-0" data-label="#">#6</td>
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  <td class="model-name sticky-1" data-label="Модель">Vikhrmodels/Vistral-24B-Instruct (SGLang)</td>
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  <td class="num mono" data-label="Критичные/1000">
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@@ -311,7 +347,7 @@
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  </tr>
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  <tr data-model="openai/unsloth/gemma-3-27b-it">
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- <td class="rank mono sticky-0" data-label="#">#7</td>
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  <td class="model-name sticky-1" data-label="Модель">Gemma-3-27b-it (SGLang)</td>
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  <td class="num mono" data-label="Критичные/1000">
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@@ -347,7 +383,7 @@
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  </tr>
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  <tr data-model="openrouter/qwen/qwen3-235b-a22b-2507">
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- <td class="rank mono sticky-0" data-label="#">#8</td>
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  <td class="model-name sticky-1" data-label="Модель">Qwen/Qwen3-235B-A22B-Instruct-2507 (Vertex AI API)</td>
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  <td class="num mono" data-label="Критичные/1000">
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@@ -383,7 +419,7 @@
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  </tr>
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  <tr data-model="openai/mistralai/Mistral-Small-3.2-24B-Instruct-2506">
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- <td class="rank mono sticky-0" data-label="#">#9</td>
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  <td class="model-name sticky-1" data-label="Модель">Mistral-Small-3.2-24B-Instruct-2506 (vllm)</td>
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  <td class="num mono" data-label="Критичные/1000">
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@@ -419,7 +455,7 @@
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  </tr>
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  <tr data-model="openrouter/deepseek/deepseek-chat">
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- <td class="rank mono sticky-0" data-label="#">#10</td>
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  <td class="model-name sticky-1" data-label="Модель">DeepSeek V3 (Novita API)</td>
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  <td class="num mono" data-label="Критичные/1000">
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@@ -455,7 +491,7 @@
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  </tr>
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  <tr data-model="openai/RefalMachine/RuadaptQwen3-32B-Instruct">
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- <td class="rank mono sticky-0" data-label="#">#11</td>
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  <td class="model-name sticky-1" data-label="Модель">RefalMachine/RuadaptQwen3-32B-Instruct (SGLang)</td>
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  <td class="num mono" data-label="Критичные/1000">
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@@ -491,7 +527,7 @@
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  </tr>
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  <tr data-model="openai/yandex/YandexGPT-5-Lite-8B-instruct">
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- <td class="rank mono sticky-0" data-label="#">#12</td>
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  <td class="model-name sticky-1" data-label="Модель">yandex/YandexGPT-5-Lite-8B-instruct (SGLang)</td>
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  <td class="num mono" data-label="Критичные/1000">
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@@ -527,7 +563,7 @@
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  </tr>
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  <tr data-model="deepseek/deepseek-chat">
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- <td class="rank mono sticky-0" data-label="#">#13</td>
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  <td class="model-name sticky-1" data-label="Модель">Deepseek-V3.2-chat (Deepseek API)</td>
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  <td class="num mono" data-label="Критичные/1000">
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@@ -563,7 +599,7 @@
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  </tr>
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  <tr data-model="openrouter/anthropic/claude-haiku-4.5">
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- <td class="rank mono sticky-0" data-label="#">#14</td>
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  <td class="model-name sticky-1" data-label="Модель">Claude Haiku 4.5</td>
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  <td class="num mono" data-label="Критичные/1000">
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@@ -599,7 +635,7 @@
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  </tr>
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  <tr data-model="openai/Qwen/Qwen3-VL-32B-Instruct">
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- <td class="rank mono sticky-0" data-label="#">#15</td>
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  <td class="model-name sticky-1" data-label="Модель">Qwen3-VL-32B-Instruct (SGLang)</td>
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  <td class="num mono" data-label="Критичные/1000">
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@@ -635,7 +671,7 @@
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  </tr>
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  <tr data-model="openai/AvitoTech/avibe">
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- <td class="rank mono sticky-0" data-label="#">#16</td>
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  <td class="model-name sticky-1" data-label="Модель">AvitoTech/avibe</td>
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  <td class="num mono" data-label="Критичные/1000">
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@@ -671,7 +707,7 @@
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  </tr>
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  <tr data-model="openai/ai-sage/GigaChat-20B-A3B-instruct-v1.5-bf16">
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- <td class="rank mono sticky-0" data-label="#">#17</td>
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  <td class="model-name sticky-1" data-label="Модель">GigaChat-20B-A3B-instruct-v1.5 (SGLang)</td>
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  <td class="num mono" data-label="Критичные/1000">
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@@ -707,7 +743,7 @@
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  </tr>
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  <tr data-model="deepseek/deepseek-reasoner">
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- <td class="rank mono sticky-0" data-label="#">#18</td>
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  <td class="model-name sticky-1" data-label="Модель">Deepseek-V3.2-reasoner (Deepseek API)</td>
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  <td class="num mono" data-label="Критичные/1000">
713
 
@@ -743,7 +779,7 @@
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  </tr>
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  <tr data-model="litellm_proxy/deepseek-v3">
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- <td class="rank mono sticky-0" data-label="#">#19</td>
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  <td class="model-name sticky-1" data-label="Модель">Deepseek V3.2-Exp (Deepseek API)</td>
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  <td class="num mono" data-label="Критичные/1000">
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@@ -779,7 +815,7 @@
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  </tr>
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  <tr data-model="litellm_proxy/tmp-gemma-3n-e4b-it">
782
- <td class="rank mono sticky-0" data-label="#">#20</td>
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  <td class="model-name sticky-1" data-label="Модель">google/gemma-3n-E4B-it (AI Studio)</td>
784
  <td class="num mono" data-label="Критичные/1000">
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@@ -815,7 +851,7 @@
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  </tr>
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  <tr data-model="openrouter/qwen/qwen3-next-80b-a3b-instruct">
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- <td class="rank mono sticky-0" data-label="#">#21</td>
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  <td class="model-name sticky-1" data-label="Модель">Qwen3-Next-80B-A3B-Instruct (Alibaba API)</td>
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  <td class="num mono" data-label="Критичные/1000">
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@@ -851,7 +887,7 @@
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  </tr>
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  <tr data-model="openrouter/baidu/ernie-4.5-300b-a47b">
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- <td class="rank mono sticky-0" data-label="#">#22</td>
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  <td class="model-name sticky-1" data-label="Модель">baidu/ERNIE-4.5-300B-A47B-PT (Novita API)</td>
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  <td class="num mono" data-label="Критичные/1000">
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@@ -887,7 +923,7 @@
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  </tr>
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  <tr data-model="openai/Qwen/Qwen3-32B">
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- <td class="rank mono sticky-0" data-label="#">#23</td>
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  <td class="model-name sticky-1" data-label="Модель">Qwen3-32B (SGLang, without reasoining)</td>
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  <td class="num mono" data-label="Критичные/1000">
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@@ -923,7 +959,7 @@
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  </tr>
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  <tr data-model="openai/t-tech/T-pro-it-2.0">
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- <td class="rank mono sticky-0" data-label="#">#24</td>
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  <td class="model-name sticky-1" data-label="Модель">t-tech/T-pro-it-2.0 (SGLang, without reasoning)</td>
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  <td class="num mono" data-label="Критичные/1000">
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@@ -959,7 +995,7 @@
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  </tr>
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961
  <tr data-model="openrouter/openrouter/polaris-alpha">
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- <td class="rank mono sticky-0" data-label="#">#25</td>
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  <td class="model-name sticky-1" data-label="Модель">Polaris Alpha</td>
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  <td class="num mono" data-label="Критичные/1000">
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@@ -995,7 +1031,7 @@
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  </tr>
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  <tr data-model="openai/tiiuae/Falcon-H1-34B-Instruct">
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- <td class="rank mono sticky-0" data-label="#">#26</td>
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  <td class="model-name sticky-1" data-label="Модель">tiiuae/Falcon-H1-34B-Instruct (vllm)</td>
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  <td class="num mono" data-label="Критичные/1000">
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@@ -1031,7 +1067,7 @@
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  </tr>
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1033
  <tr data-model="openrouter/qwen/qwen3-235b-a22b-2507">
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- <td class="rank mono sticky-0" data-label="#">#27</td>
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  <td class="model-name sticky-1" data-label="Модель">Qwen3-235B-A22B-2507-Instruct (Alibaba API)</td>
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  <td class="num mono" data-label="Критичные/1000">
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@@ -1067,7 +1103,7 @@
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  </tr>
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  <tr data-model="openrouter/qwen/qwen3-vl-8b-instruct">
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- <td class="rank mono sticky-0" data-label="#">#28</td>
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  <td class="model-name sticky-1" data-label="Модель">Qwen3-VL-8B-Instruct (Alibaba API, presence_penalty=2)</td>
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  <td class="num mono" data-label="Критичные/1000">
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@@ -1103,7 +1139,7 @@
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  </tr>
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  <tr data-model="openrouter/moonshotai/kimi-k2-0905">
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- <td class="rank mono sticky-0" data-label="#">#29</td>
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  <td class="model-name sticky-1" data-label="Модель">moonshotai/Kimi-K2-Instruct-0905 (Novita API)</td>
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  <td class="num mono" data-label="Критичные/1000">
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@@ -1139,7 +1175,7 @@
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  </tr>
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1141
  <tr data-model="openrouter/z-ai/glm-4.6">
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- <td class="rank mono sticky-0" data-label="#">#30</td>
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  <td class="model-name sticky-1" data-label="Модель">GLM-4.6 (Z.ai API)</td>
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  <td class="num mono" data-label="Критичные/1000">
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@@ -1175,7 +1211,7 @@
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  </tr>
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  <tr data-model="openrouter/openai/gpt-5">
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- <td class="rank mono sticky-0" data-label="#">#31</td>
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  <td class="model-name sticky-1" data-label="Модель">GPT-5 (reasoning: minimal)</td>
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  <td class="num mono" data-label="Критичные/1000">
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  </tr>
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  <tr data-model="openai/aquif-3.5-Max-42B-A3B.Q8_0.gguf">
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- <td class="rank mono sticky-0" data-label="#">#32</td>
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  <td class="model-name sticky-1" data-label="Модель">aquif-ai/aquif-3.5-Plus-30B-A3B (Q8_0 llama.cpp, without reasoning)</td>
1216
  <td class="num mono" data-label="Критичные/1000">
1217
 
@@ -1247,7 +1283,7 @@
1247
  </tr>
1248
 
1249
  <tr data-model="openrouter/openai/gpt-5">
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- <td class="rank mono sticky-0" data-label="#">#33</td>
1251
  <td class="model-name sticky-1" data-label="Модель">GPT-5 (reasoning: low)</td>
1252
  <td class="num mono" data-label="Критичные/1000">
1253
 
@@ -1283,7 +1319,7 @@
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  </tr>
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1285
  <tr data-model="openai/nvidia/NVIDIA-Nemotron-Nano-12B-v2">
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- <td class="rank mono sticky-0" data-label="#">#34</td>
1287
  <td class="model-name sticky-1" data-label="Модель">nvidia/NVIDIA-Nemotron-Nano-12B-v2 (vllm, reasoning=false)</td>
1288
  <td class="num mono" data-label="Критичные/1000">
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@@ -1319,7 +1355,7 @@
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  </tr>
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1321
  <tr data-model="openrouter/openai/gpt-oss-120b">
1322
- <td class="rank mono sticky-0" data-label="#">#35</td>
1323
  <td class="model-name sticky-1" data-label="Модель">GPT-OSS-120B (Vertex AI API)</td>
1324
  <td class="num mono" data-label="Критичные/1000">
1325
 
@@ -1355,7 +1391,7 @@
1355
  </tr>
1356
 
1357
  <tr data-model="openai/gpt-4.1">
1358
- <td class="rank mono sticky-0" data-label="#">#36</td>
1359
  <td class="model-name sticky-1" data-label="Модель">GPT-4.1</td>
1360
  <td class="num mono" data-label="Критичные/1000">
1361
 
@@ -1391,7 +1427,7 @@
1391
  </tr>
1392
 
1393
  <tr data-model="openrouter/mistralai/mistral-nemo">
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- <td class="rank mono sticky-0" data-label="#">#37</td>
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  <td class="model-name sticky-1" data-label="Модель">Mistral-Nemo (Mistral API)</td>
1396
  <td class="num mono" data-label="Критичные/1000">
1397
 
@@ -1427,7 +1463,7 @@
1427
  </tr>
1428
 
1429
  <tr data-model="openai/gpt-4.1-mini">
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- <td class="rank mono sticky-0" data-label="#">#38</td>
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  <td class="model-name sticky-1" data-label="Модель">GPT-4.1-mini</td>
1432
  <td class="num mono" data-label="Критичные/1000">
1433
 
@@ -1463,7 +1499,7 @@
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  </tr>
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1465
  <tr data-model="openrouter/minimax/minimax-m2:free">
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- <td class="rank mono sticky-0" data-label="#">#39</td>
1467
  <td class="model-name sticky-1" data-label="Модель">MiniMaxAI/MiniMax-M2 (Minimax API)</td>
1468
  <td class="num mono" data-label="Критичные/1000">
1469
 
@@ -1499,7 +1535,7 @@
1499
  </tr>
1500
 
1501
  <tr data-model="openrouter/minimax/minimax-m2:free">
1502
- <td class="rank mono sticky-0" data-label="#">#40</td>
1503
  <td class="model-name sticky-1" data-label="Модель">MiniMaxAI/MiniMax-M2 (Minimax API, recommend params)</td>
1504
  <td class="num mono" data-label="Критичные/1000">
1505
 
@@ -1535,7 +1571,7 @@
1535
  </tr>
1536
 
1537
  <tr data-model="openai/gpt-4.1-nano">
1538
- <td class="rank mono sticky-0" data-label="#">#41</td>
1539
  <td class="model-name sticky-1" data-label="Модель">GPT-4.1-nano</td>
1540
  <td class="num mono" data-label="Критичные/1000">
1541
 
@@ -1571,7 +1607,7 @@
1571
  </tr>
1572
 
1573
  <tr data-model="openrouter/openai/gpt-oss-20b">
1574
- <td class="rank mono sticky-0" data-label="#">#42</td>
1575
  <td class="model-name sticky-1" data-label="Модель">openai/gpt-oss-20b (Vertex API)</td>
1576
  <td class="num mono" data-label="Критичные/1000">
1577
 
@@ -1629,7 +1665,7 @@
1629
  </div>
1630
  <p class="info-text">Если хотите, чтобы я добавил ту или иную модель в лидерборд - не стесняйтесь открыть issue/pull request на Github.</p>
1631
  <p class="info-text">
1632
- Обновлено: 2025-12-01 19:38:30 | Всего моделей: 42 | <a href="https://github.com/kristaller486/RuQualBench">GitHub</a> | <a href="https://t.me/krists">Telegram</a>
1633
  </p>
1634
  </div>
1635
  <script>
 
94
  </thead>
95
  <tbody>
96
 
97
+ <tr data-model="litellm_proxy/opus-4-5">
98
  <td class="rank mono sticky-0" data-label="#">#1</td>
99
+ <td class="model-name sticky-1" data-label="Модель">Claude Opus 4.5</td>
100
+ <td class="num mono" data-label="Критичные/1000">
101
+
102
+ 0.05 ± 0.01
103
+
104
+ </td>
105
+ <td class="num mono" data-label="Обычные/1000">
106
+
107
+ 0.12 ± 0.02
108
+
109
+ </td>
110
+ <td class="num mono" data-label="Доп./1000">
111
+
112
+ 0.05 ± 0.02
113
+
114
+ </td>
115
+ <td data-label="Нормировано ошибок">
116
+ <div class="score-cell">
117
+ <div class="progress-bar">
118
+
119
+
120
+
121
+ <div class="progress-fill" style="width: 94.0%"></div>
122
+ </div>
123
+ <span class="score-value">
124
+
125
+ 0.24 ± 0.04
126
+
127
+ </span>
128
+ </div>
129
+ </td>
130
+ <td class="num mono" data-label="Всего токенов">125,802</td>
131
+ </tr>
132
+
133
+ <tr data-model="litellm_proxy/gemini/gemini-3-pro-preview">
134
+ <td class="rank mono sticky-0" data-label="#">#2</td>
135
  <td class="model-name sticky-1" data-label="Модель">Gemini 3 Pro Preview</td>
136
  <td class="num mono" data-label="Критичные/1000">
137
 
 
167
  </tr>
168
 
169
  <tr data-model="openrouter/anthropic/claude-sonnet-4.5">
170
+ <td class="rank mono sticky-0" data-label="#">#3</td>
171
  <td class="model-name sticky-1" data-label="Модель">Claude Sonnet 4.5</td>
172
  <td class="num mono" data-label="Критичные/1000">
173
 
 
203
  </tr>
204
 
205
  <tr data-model="openrouter/openai/gpt-4o">
206
+ <td class="rank mono sticky-0" data-label="#">#4</td>
207
  <td class="model-name sticky-1" data-label="Модель">GPT-4o</td>
208
  <td class="num mono" data-label="Критичные/1000">
209
 
 
239
  </tr>
240
 
241
  <tr data-model="litellm_proxy/gemini-2.5-flash">
242
+ <td class="rank mono sticky-0" data-label="#">#5</td>
243
  <td class="model-name sticky-1" data-label="Модель">Gemini 2.5 Flash (GA)</td>
244
  <td class="num mono" data-label="Критичные/1000">
245
 
 
275
  </tr>
276
 
277
  <tr data-model="openrouter/minimax/minimax-01">
278
+ <td class="rank mono sticky-0" data-label="#">#6</td>
279
  <td class="model-name sticky-1" data-label="Модель">MiniMaxAI/MiniMax-Text-01 (Minimax API)</td>
280
  <td class="num mono" data-label="Критичные/1000">
281
 
 
311
  </tr>
312
 
313
  <tr data-model="openai/Vikhrmodels/Vistral-24B-Instruct">
314
+ <td class="rank mono sticky-0" data-label="#">#7</td>
315
  <td class="model-name sticky-1" data-label="Модель">Vikhrmodels/Vistral-24B-Instruct (SGLang)</td>
316
  <td class="num mono" data-label="Критичные/1000">
317
 
 
347
  </tr>
348
 
349
  <tr data-model="openai/unsloth/gemma-3-27b-it">
350
+ <td class="rank mono sticky-0" data-label="#">#8</td>
351
  <td class="model-name sticky-1" data-label="Модель">Gemma-3-27b-it (SGLang)</td>
352
  <td class="num mono" data-label="Критичные/1000">
353
 
 
383
  </tr>
384
 
385
  <tr data-model="openrouter/qwen/qwen3-235b-a22b-2507">
386
+ <td class="rank mono sticky-0" data-label="#">#9</td>
387
  <td class="model-name sticky-1" data-label="Модель">Qwen/Qwen3-235B-A22B-Instruct-2507 (Vertex AI API)</td>
388
  <td class="num mono" data-label="Критичные/1000">
389
 
 
419
  </tr>
420
 
421
  <tr data-model="openai/mistralai/Mistral-Small-3.2-24B-Instruct-2506">
422
+ <td class="rank mono sticky-0" data-label="#">#10</td>
423
  <td class="model-name sticky-1" data-label="Модель">Mistral-Small-3.2-24B-Instruct-2506 (vllm)</td>
424
  <td class="num mono" data-label="Критичные/1000">
425
 
 
455
  </tr>
456
 
457
  <tr data-model="openrouter/deepseek/deepseek-chat">
458
+ <td class="rank mono sticky-0" data-label="#">#11</td>
459
  <td class="model-name sticky-1" data-label="Модель">DeepSeek V3 (Novita API)</td>
460
  <td class="num mono" data-label="Критичные/1000">
461
 
 
491
  </tr>
492
 
493
  <tr data-model="openai/RefalMachine/RuadaptQwen3-32B-Instruct">
494
+ <td class="rank mono sticky-0" data-label="#">#12</td>
495
  <td class="model-name sticky-1" data-label="Модель">RefalMachine/RuadaptQwen3-32B-Instruct (SGLang)</td>
496
  <td class="num mono" data-label="Критичные/1000">
497
 
 
527
  </tr>
528
 
529
  <tr data-model="openai/yandex/YandexGPT-5-Lite-8B-instruct">
530
+ <td class="rank mono sticky-0" data-label="#">#13</td>
531
  <td class="model-name sticky-1" data-label="Модель">yandex/YandexGPT-5-Lite-8B-instruct (SGLang)</td>
532
  <td class="num mono" data-label="Критичные/1000">
533
 
 
563
  </tr>
564
 
565
  <tr data-model="deepseek/deepseek-chat">
566
+ <td class="rank mono sticky-0" data-label="#">#14</td>
567
  <td class="model-name sticky-1" data-label="Модель">Deepseek-V3.2-chat (Deepseek API)</td>
568
  <td class="num mono" data-label="Критичные/1000">
569
 
 
599
  </tr>
600
 
601
  <tr data-model="openrouter/anthropic/claude-haiku-4.5">
602
+ <td class="rank mono sticky-0" data-label="#">#15</td>
603
  <td class="model-name sticky-1" data-label="Модель">Claude Haiku 4.5</td>
604
  <td class="num mono" data-label="Критичные/1000">
605
 
 
635
  </tr>
636
 
637
  <tr data-model="openai/Qwen/Qwen3-VL-32B-Instruct">
638
+ <td class="rank mono sticky-0" data-label="#">#16</td>
639
  <td class="model-name sticky-1" data-label="Модель">Qwen3-VL-32B-Instruct (SGLang)</td>
640
  <td class="num mono" data-label="Критичные/1000">
641
 
 
671
  </tr>
672
 
673
  <tr data-model="openai/AvitoTech/avibe">
674
+ <td class="rank mono sticky-0" data-label="#">#17</td>
675
  <td class="model-name sticky-1" data-label="Модель">AvitoTech/avibe</td>
676
  <td class="num mono" data-label="Критичные/1000">
677
 
 
707
  </tr>
708
 
709
  <tr data-model="openai/ai-sage/GigaChat-20B-A3B-instruct-v1.5-bf16">
710
+ <td class="rank mono sticky-0" data-label="#">#18</td>
711
  <td class="model-name sticky-1" data-label="Модель">GigaChat-20B-A3B-instruct-v1.5 (SGLang)</td>
712
  <td class="num mono" data-label="Критичные/1000">
713
 
 
743
  </tr>
744
 
745
  <tr data-model="deepseek/deepseek-reasoner">
746
+ <td class="rank mono sticky-0" data-label="#">#19</td>
747
  <td class="model-name sticky-1" data-label="Модель">Deepseek-V3.2-reasoner (Deepseek API)</td>
748
  <td class="num mono" data-label="Критичные/1000">
749
 
 
779
  </tr>
780
 
781
  <tr data-model="litellm_proxy/deepseek-v3">
782
+ <td class="rank mono sticky-0" data-label="#">#20</td>
783
  <td class="model-name sticky-1" data-label="Модель">Deepseek V3.2-Exp (Deepseek API)</td>
784
  <td class="num mono" data-label="Критичные/1000">
785
 
 
815
  </tr>
816
 
817
  <tr data-model="litellm_proxy/tmp-gemma-3n-e4b-it">
818
+ <td class="rank mono sticky-0" data-label="#">#21</td>
819
  <td class="model-name sticky-1" data-label="Модель">google/gemma-3n-E4B-it (AI Studio)</td>
820
  <td class="num mono" data-label="Критичные/1000">
821
 
 
851
  </tr>
852
 
853
  <tr data-model="openrouter/qwen/qwen3-next-80b-a3b-instruct">
854
+ <td class="rank mono sticky-0" data-label="#">#22</td>
855
  <td class="model-name sticky-1" data-label="Модель">Qwen3-Next-80B-A3B-Instruct (Alibaba API)</td>
856
  <td class="num mono" data-label="Критичные/1000">
857
 
 
887
  </tr>
888
 
889
  <tr data-model="openrouter/baidu/ernie-4.5-300b-a47b">
890
+ <td class="rank mono sticky-0" data-label="#">#23</td>
891
  <td class="model-name sticky-1" data-label="Модель">baidu/ERNIE-4.5-300B-A47B-PT (Novita API)</td>
892
  <td class="num mono" data-label="Критичные/1000">
893
 
 
923
  </tr>
924
 
925
  <tr data-model="openai/Qwen/Qwen3-32B">
926
+ <td class="rank mono sticky-0" data-label="#">#24</td>
927
  <td class="model-name sticky-1" data-label="Модель">Qwen3-32B (SGLang, without reasoining)</td>
928
  <td class="num mono" data-label="Критичные/1000">
929
 
 
959
  </tr>
960
 
961
  <tr data-model="openai/t-tech/T-pro-it-2.0">
962
+ <td class="rank mono sticky-0" data-label="#">#25</td>
963
  <td class="model-name sticky-1" data-label="Модель">t-tech/T-pro-it-2.0 (SGLang, without reasoning)</td>
964
  <td class="num mono" data-label="Критичные/1000">
965
 
 
995
  </tr>
996
 
997
  <tr data-model="openrouter/openrouter/polaris-alpha">
998
+ <td class="rank mono sticky-0" data-label="#">#26</td>
999
  <td class="model-name sticky-1" data-label="Модель">Polaris Alpha</td>
1000
  <td class="num mono" data-label="Критичные/1000">
1001
 
 
1031
  </tr>
1032
 
1033
  <tr data-model="openai/tiiuae/Falcon-H1-34B-Instruct">
1034
+ <td class="rank mono sticky-0" data-label="#">#27</td>
1035
  <td class="model-name sticky-1" data-label="Модель">tiiuae/Falcon-H1-34B-Instruct (vllm)</td>
1036
  <td class="num mono" data-label="Критичные/1000">
1037
 
 
1067
  </tr>
1068
 
1069
  <tr data-model="openrouter/qwen/qwen3-235b-a22b-2507">
1070
+ <td class="rank mono sticky-0" data-label="#">#28</td>
1071
  <td class="model-name sticky-1" data-label="Модель">Qwen3-235B-A22B-2507-Instruct (Alibaba API)</td>
1072
  <td class="num mono" data-label="Критичные/1000">
1073
 
 
1103
  </tr>
1104
 
1105
  <tr data-model="openrouter/qwen/qwen3-vl-8b-instruct">
1106
+ <td class="rank mono sticky-0" data-label="#">#29</td>
1107
  <td class="model-name sticky-1" data-label="Модель">Qwen3-VL-8B-Instruct (Alibaba API, presence_penalty=2)</td>
1108
  <td class="num mono" data-label="Критичные/1000">
1109
 
 
1139
  </tr>
1140
 
1141
  <tr data-model="openrouter/moonshotai/kimi-k2-0905">
1142
+ <td class="rank mono sticky-0" data-label="#">#30</td>
1143
  <td class="model-name sticky-1" data-label="Модель">moonshotai/Kimi-K2-Instruct-0905 (Novita API)</td>
1144
  <td class="num mono" data-label="Критичные/1000">
1145
 
 
1175
  </tr>
1176
 
1177
  <tr data-model="openrouter/z-ai/glm-4.6">
1178
+ <td class="rank mono sticky-0" data-label="#">#31</td>
1179
  <td class="model-name sticky-1" data-label="Модель">GLM-4.6 (Z.ai API)</td>
1180
  <td class="num mono" data-label="Критичные/1000">
1181
 
 
1211
  </tr>
1212
 
1213
  <tr data-model="openrouter/openai/gpt-5">
1214
+ <td class="rank mono sticky-0" data-label="#">#32</td>
1215
  <td class="model-name sticky-1" data-label="Модель">GPT-5 (reasoning: minimal)</td>
1216
  <td class="num mono" data-label="Критичные/1000">
1217
 
 
1247
  </tr>
1248
 
1249
  <tr data-model="openai/aquif-3.5-Max-42B-A3B.Q8_0.gguf">
1250
+ <td class="rank mono sticky-0" data-label="#">#33</td>
1251
  <td class="model-name sticky-1" data-label="Модель">aquif-ai/aquif-3.5-Plus-30B-A3B (Q8_0 llama.cpp, without reasoning)</td>
1252
  <td class="num mono" data-label="Критичные/1000">
1253
 
 
1283
  </tr>
1284
 
1285
  <tr data-model="openrouter/openai/gpt-5">
1286
+ <td class="rank mono sticky-0" data-label="#">#34</td>
1287
  <td class="model-name sticky-1" data-label="Модель">GPT-5 (reasoning: low)</td>
1288
  <td class="num mono" data-label="Критичные/1000">
1289
 
 
1319
  </tr>
1320
 
1321
  <tr data-model="openai/nvidia/NVIDIA-Nemotron-Nano-12B-v2">
1322
+ <td class="rank mono sticky-0" data-label="#">#35</td>
1323
  <td class="model-name sticky-1" data-label="Модель">nvidia/NVIDIA-Nemotron-Nano-12B-v2 (vllm, reasoning=false)</td>
1324
  <td class="num mono" data-label="Критичные/1000">
1325
 
 
1355
  </tr>
1356
 
1357
  <tr data-model="openrouter/openai/gpt-oss-120b">
1358
+ <td class="rank mono sticky-0" data-label="#">#36</td>
1359
  <td class="model-name sticky-1" data-label="Модель">GPT-OSS-120B (Vertex AI API)</td>
1360
  <td class="num mono" data-label="Критичные/1000">
1361
 
 
1391
  </tr>
1392
 
1393
  <tr data-model="openai/gpt-4.1">
1394
+ <td class="rank mono sticky-0" data-label="#">#37</td>
1395
  <td class="model-name sticky-1" data-label="Модель">GPT-4.1</td>
1396
  <td class="num mono" data-label="Критичные/1000">
1397
 
 
1427
  </tr>
1428
 
1429
  <tr data-model="openrouter/mistralai/mistral-nemo">
1430
+ <td class="rank mono sticky-0" data-label="#">#38</td>
1431
  <td class="model-name sticky-1" data-label="Модель">Mistral-Nemo (Mistral API)</td>
1432
  <td class="num mono" data-label="Критичные/1000">
1433
 
 
1463
  </tr>
1464
 
1465
  <tr data-model="openai/gpt-4.1-mini">
1466
+ <td class="rank mono sticky-0" data-label="#">#39</td>
1467
  <td class="model-name sticky-1" data-label="Модель">GPT-4.1-mini</td>
1468
  <td class="num mono" data-label="Критичные/1000">
1469
 
 
1499
  </tr>
1500
 
1501
  <tr data-model="openrouter/minimax/minimax-m2:free">
1502
+ <td class="rank mono sticky-0" data-label="#">#40</td>
1503
  <td class="model-name sticky-1" data-label="Модель">MiniMaxAI/MiniMax-M2 (Minimax API)</td>
1504
  <td class="num mono" data-label="Критичные/1000">
1505
 
 
1535
  </tr>
1536
 
1537
  <tr data-model="openrouter/minimax/minimax-m2:free">
1538
+ <td class="rank mono sticky-0" data-label="#">#41</td>
1539
  <td class="model-name sticky-1" data-label="Модель">MiniMaxAI/MiniMax-M2 (Minimax API, recommend params)</td>
1540
  <td class="num mono" data-label="Критичные/1000">
1541
 
 
1571
  </tr>
1572
 
1573
  <tr data-model="openai/gpt-4.1-nano">
1574
+ <td class="rank mono sticky-0" data-label="#">#42</td>
1575
  <td class="model-name sticky-1" data-label="Модель">GPT-4.1-nano</td>
1576
  <td class="num mono" data-label="Критичные/1000">
1577
 
 
1607
  </tr>
1608
 
1609
  <tr data-model="openrouter/openai/gpt-oss-20b">
1610
+ <td class="rank mono sticky-0" data-label="#">#43</td>
1611
  <td class="model-name sticky-1" data-label="Модель">openai/gpt-oss-20b (Vertex API)</td>
1612
  <td class="num mono" data-label="Критичные/1000">
1613
 
 
1665
  </div>
1666
  <p class="info-text">Если хотите, чтобы я добавил ту или иную модель в лидерборд - не стесняйтесь открыть issue/pull request на Github.</p>
1667
  <p class="info-text">
1668
+ Обновлено: 2025-12-01 20:43:49 | Всего моделей: 43 | <a href="https://github.com/kristaller486/RuQualBench">GitHub</a> | <a href="https://t.me/krists">Telegram</a>
1669
  </p>
1670
  </div>
1671
  <script>