diff --git a/.env.example b/.env.example
index 8e9cb3f..f59b14a 100644
--- a/.env.example
+++ b/.env.example
@@ -9,6 +9,8 @@ botToken = ""
 ollamaEnabled = false
 # ollamaApi = "http://ollama:11434"
 # handlerTimeout = "600_000" # set higher if you expect to download larger models
+# flashModel = "gemma3:4b"
+# thinkingModel = "qwen3:4b"
 
 # misc (botAdmins isnt a array here!)
 maxRetries = 9999
diff --git a/README.md b/README.md
index 3cc7c99..7912e3d 100644
--- a/README.md
+++ b/README.md
@@ -113,7 +113,9 @@ If you prefer to use Docker directly, you can use these instructions instead.
 - **botToken**: Put your bot token that you created at [@BotFather](https://t.me/botfather).
 - **ollamaEnabled** (optional): Enables/disables AI features
 - **ollamaApi** (optional): Ollama API endpoint for various AI features, will be disabled if not set
-- **handlerTimeout** (default: `600_000`): How long handlers will wait before timing out. Set this high if using large AI models.
+- **handlerTimeout** (optional): How long handlers will wait before timing out. Set this high if using large AI models.
+- **flashModel** (optional): Which model will be used for /ask
+- **thinkingModel** (optional): Which model will be used for /think
 - **botAdmins**: Put the ID of the people responsible for managing the bot. They can use some administrative + exclusive commands on any group.
 - **lastKey**: Last.fm API key, for use on `lastfm.js` functions, like see who is listening to what song and etc.
 - **weatherKey**: Weather.com API key, used for the `/weather` command.
diff --git a/src/commands/ai.ts b/src/commands/ai.ts
index a58933d..dfec202 100644
--- a/src/commands/ai.ts
+++ b/src/commands/ai.ts
@@ -40,8 +40,8 @@ import { rateLimiter } from "../utils/rate-limiter"
 import { logger } from "../utils/log"
 
 const spamwatchMiddleware = spamwatchMiddlewareModule(isOnSpamWatch)
-export const flash_model = "gemma3:4b"
-export const thinking_model = "deepseek-r1:1.5b"
+export const flash_model = process.env.flashModel || "gemma3:4b"
+export const thinking_model = process.env.thinkingModel || "qwen3:4b"
 
 type TextContext = Context & { message: Message.TextMessage }
 
@@ -57,15 +57,19 @@ export function sanitizeForJson(text: string): string {
 export async function preChecks() {
   const envs = [
     "ollamaApi",
+    "flashModel",
+    "thinkingModel",
   ]
 
+  let checked = 0;
   for (const env of envs) {
     if (!process.env[env]) {
       console.error(`[✨ AI | !] ❌ ${env} not set!`)
       return false
     }
+    checked++;
   }
-  console.log("[✨ AI] Pre-checks passed\n")
+  console.log(`[✨ AI] Pre-checks passed [${checked}/${envs.length}]\n`)
   return true
 }