remove minimax:free from recommended models

src/app/api/cron/sync-model-stats/route.ts

@@ -6,8 +6,8 @@ import { syncArtificialAnalysisBenchmarks } from '@/lib/model-stats/sync-artific
 import { syncOpenRouterModels } from '@/lib/model-stats/sync-openrouter';
 import { syncInternalUsageStats } from '@/lib/model-stats/sync-internal-data';
 import { CRON_SECRET } from '@/lib/config.server';
-import { preferredModels } from '@/lib/models';
 import type { OpenRouterModel } from '@/lib/organizations/organization-types';
+import { getMonitoredModels } from '@/lib/models';
 
 const BETTERSTACK_HEARTBEAT_URL =
   'https://uptime.betterstack.com/api/v1/heartbeat/1zuL4cAH8Ui6JF9j8M3L8oAD';
@@ -57,14 +57,15 @@ export async function GET(request: NextRequest) {
       return model;
     });
 
-    const preferredModelData = allModels.filter(model => preferredModels.includes(model.id));
+    const monitoredModels = getMonitoredModels();
+    const preferredModelData = allModels.filter(model => monitoredModels.includes(model.id));
 
     console.log(
       `[sync-model-stats] Found ${preferredModelData.length} preferred models out of ${allModels.length} total`
     );
 
     // Sync OpenRouter model data to database
-    const syncResult = await syncOpenRouterModels(allModels, preferredModels);
+    const syncResult = await syncOpenRouterModels(allModels, monitoredModels);
     const { newModels, updatedModels, totalProcessed } = syncResult;
 
     console.log(

src/app/api/models/up/route.ts

@@ -2,10 +2,9 @@ import { db, sql } from '@/lib/drizzle';
 import { microdollar_usage } from '@kilocode/db/schema';
 import { NextResponse } from 'next/server';
 import { captureException } from '@sentry/nextjs';
-import { isKiloAutoModel } from '@/lib/kilo-auto-model';
-import { preferredModels } from '@/lib/models';
+import { getMonitoredModels } from '@/lib/models';
 
-const monitoredModels = [...new Set([...preferredModels])].filter(m => !isKiloAutoModel(m));
+const monitoredModels = getMonitoredModels();
 
 // Simple hardcoded key for authentication
 const HEALTH_CHECK_KEY = 'kilo-models-health-check';

src/lib/models.ts

@@ -3,10 +3,12 @@
  */
 
 import {
+  isKiloAutoModel,
   KILO_AUTO_BALANCED_MODEL,
   KILO_AUTO_FREE_MODEL,
   KILO_AUTO_FREE_MODEL_DEPRECATED,
   KILO_AUTO_FRONTIER_MODEL,
+  resolveAutoModel,
 } from '@/lib/kilo-auto-model';
 import {
   CLAUDE_OPUS_CURRENT_MODEL_ID,
@@ -28,20 +30,28 @@ export const preferredModels = [
   KILO_AUTO_BALANCED_MODEL.id,
   KILO_AUTO_FREE_MODEL.id,
   'nvidia/nemotron-3-super-120b-a12b:free',
-  minimax_m25_free_model.status === 'public'
-    ? minimax_m25_free_model.public_id
-    : 'minimax/minimax-m2.5',
-  kimi_k25_free_model.status === 'public' ? kimi_k25_free_model.public_id : 'moonshotai/kimi-k2.5',
   giga_potato_thinking_model.status === 'public' ? giga_potato_thinking_model.public_id : null,
   'arcee-ai/trinity-large-preview:free',
   CLAUDE_OPUS_CURRENT_MODEL_ID,
   CLAUDE_SONNET_CURRENT_MODEL_ID,
   'openai/gpt-5.4',
   'google/gemini-3.1-pro-preview',
+  'minimax/minimax-m2.5',
+  'moonshotai/kimi-k2.5',
   'z-ai/glm-5',
   'x-ai/grok-code-fast-1',
 ].filter(m => m !== null);
 
+export function getMonitoredModels() {
+  return [
+    ...new Set(
+      preferredModels.map(model =>
+        isKiloAutoModel(model) ? resolveAutoModel(model, null).model : model
+      )
+    ),
+  ];
+}
+
 export function isFreeModel(model: string): boolean {
   return (
     isKiloFreeModel(model) ||

src/tests/openrouter-models-sorting.approved.json

@@ -136,60 +136,6 @@
       "preferredIndex": 2,
       "isFree": true
     },
-    {
-      "id": "minimax/minimax-m2.5:free",
-      "canonical_slug": "minimax/minimax-m2.5:free",
-      "hugging_face_id": "",
-      "name": "MiniMax: MiniMax M2.5 (free)",
-      "created": 1756238927,
-      "description": "MiniMax-M2.5 is a SOTA large language model designed for real-world productivity. Trained in a diverse range of complex real-world digital working environments, M2.5 builds upon the coding expertise of M2.1 to extend into general office work, reaching fluency in generating and operating Word, Excel, and Powerpoint files, context switching between diverse software environments, and working across different agent and human teams. Scoring 80.2% on SWE-Bench Verified, 51.3% on Multi-SWE-Bench, and 76.3% on BrowseComp, M2.5 is also more token efficient than previous generations, having been trained to optimize its actions and output through planning.",
-      "context_length": 204800,
-      "architecture": {
-        "modality": "text->text",
-        "input_modalities": [
-          "text"
-        ],
-        "output_modalities": [
-          "text"
-        ],
-        "tokenizer": "Other",
-        "instruct_type": null
-      },
-      "pricing": {
-        "prompt": "0.0000000",
-        "completion": "0.0000000",
-        "request": "0",
-        "image": "0",
-        "web_search": "0",
-        "internal_reasoning": "0",
-        "input_cache_read": "0.00000000"
-      },
-      "top_provider": {
-        "context_length": 204800,
-        "max_completion_tokens": 131072,
-        "is_moderated": false
-      },
-      "per_request_limits": null,
-      "supported_parameters": [
-        "max_tokens",
-        "temperature",
-        "tools",
-        "reasoning",
-        "include_reasoning"
-      ],
-      "default_parameters": {},
-      "preferredIndex": 4,
-      "isFree": true,
-      "settings": {
-        "included_tools": [
-          "search_and_replace"
-        ],
-        "excluded_tools": [
-          "apply_diff",
-          "edit_file"
-        ]
-      }
-    },
     {
       "id": "giga-potato-thinking",
       "canonical_slug": "giga-potato-thinking",
@@ -233,7 +179,7 @@
         "include_reasoning"
       ],
       "default_parameters": {},
-      "preferredIndex": 6,
+      "preferredIndex": 4,
       "isFree": true,
       "versioned_settings": {
         "4.146.0": {
@@ -652,6 +598,59 @@
         }
       }
     },
+    {
+      "id": "minimax/minimax-m2.5:free",
+      "canonical_slug": "minimax/minimax-m2.5:free",
+      "hugging_face_id": "",
+      "name": "MiniMax: MiniMax M2.5 (free)",
+      "created": 1756238927,
+      "description": "MiniMax-M2.5 is a SOTA large language model designed for real-world productivity. Trained in a diverse range of complex real-world digital working environments, M2.5 builds upon the coding expertise of M2.1 to extend into general office work, reaching fluency in generating and operating Word, Excel, and Powerpoint files, context switching between diverse software environments, and working across different agent and human teams. Scoring 80.2% on SWE-Bench Verified, 51.3% on Multi-SWE-Bench, and 76.3% on BrowseComp, M2.5 is also more token efficient than previous generations, having been trained to optimize its actions and output through planning.",
+      "context_length": 204800,
+      "architecture": {
+        "modality": "text->text",
+        "input_modalities": [
+          "text"
+        ],
+        "output_modalities": [
+          "text"
+        ],
+        "tokenizer": "Other",
+        "instruct_type": null
+      },
+      "pricing": {
+        "prompt": "0.0000000",
+        "completion": "0.0000000",
+        "request": "0",
+        "image": "0",
+        "web_search": "0",
+        "internal_reasoning": "0",
+        "input_cache_read": "0.00000000"
+      },
+      "top_provider": {
+        "context_length": 204800,
+        "max_completion_tokens": 131072,
+        "is_moderated": false
+      },
+      "per_request_limits": null,
+      "supported_parameters": [
+        "max_tokens",
+        "temperature",
+        "tools",
+        "reasoning",
+        "include_reasoning"
+      ],
+      "default_parameters": {},
+      "isFree": true,
+      "settings": {
+        "included_tools": [
+          "search_and_replace"
+        ],
+        "excluded_tools": [
+          "apply_diff",
+          "edit_file"
+        ]
+      }
+    },
     {
       "id": "morph-warp-grep-v2",
       "canonical_slug": "morph-warp-grep-v2",