diff --git a/src/lib/ChatRequest.svelte b/src/lib/ChatRequest.svelte
index 076bb13..63b48f8 100644
--- a/src/lib/ChatRequest.svelte
+++ b/src/lib/ChatRequest.svelte
@@ -191,25 +191,24 @@ export class ChatRequest {
             if (typeof setting.apiTransform === 'function') {
               value = setting.apiTransform(chatId, setting, value)
             }
+            console.log(key, value);
             if (key === 'max_tokens') {
               if (opts.maxTokens) value = opts.maxTokens // only as large as requested
               if (value > maxAllowed || value < 1) value = null // if over max model, do not define max
               if (value) value = Math.floor(value)
-              if (modelDetail.reasoning == true) {
-                key = 'max_completion_tokens'
-              }
+              key = 'max_completion_tokens'
             }
             if (key === 'n') {
               if (opts.streaming || opts.summaryRequest) {
-                /*
-                Streaming goes insane with more than one completion.
-                Doesn't seem like there's any way to separate the jumbled mess of deltas for the
-                different completions.
-                Summary should only have one completion
-                */
                 value = 1
               }
             }
+            if ( key === 'reasoning_effort') {
+              if (modelDetail.extparams != true) return acc
+            }
+            if ( key === 'verbosity') {
+              if (modelDetail.extparams != true) return acc
+            }
             if (value !== null) acc[key] = value
             return acc
           }, {}),
diff --git a/src/lib/Settings.svelte b/src/lib/Settings.svelte
index 2358c91..919ffe5 100644
--- a/src/lib/Settings.svelte
+++ b/src/lib/Settings.svelte
@@ -79,7 +79,8 @@ const gptDefaults = {
   presence_penalty: 0,
   frequency_penalty: 0,
   logit_bias: null,
-  user: undefined
+  reasoning_effort: null,
+  verbosity: null,
 }
 
 // Core set of defaults
@@ -634,6 +635,28 @@ const chatSettingsList: ChatSetting[] = [
         },
         hide: hideModelSetting
       },
+      {
+        key: 'reasoning_effort',
+        name: 'Reasoning Effort',
+        title: 'minimal, low, medium, high',
+        type: 'text',
+        placeholder: (chatId) => {
+          const val = getModelDetail(getChatSettings(chatId).model).systemEnd
+          return val || ''
+        },
+        hide: () => false
+      },
+      {
+        key: 'verbosity',
+        name: 'Verbosity',
+        title: 'low, medium, high',
+        type: 'text',
+        placeholder: (chatId) => {
+          const val = getModelDetail(getChatSettings(chatId).model).systemEnd
+          return val || ''
+        },
+        hide: () => false
+      },
       {
         key: 'leadPrompt',
         name: 'Completion Lead Sequence',
@@ -645,38 +668,6 @@ const chatSettingsList: ChatSetting[] = [
         },
         hide: hideModelSetting
       },
-      {
-        // logit bias editor not implemented yet
-        key: 'logit_bias',
-        name: 'Logit Bias',
-        title: 'Allows you to adjust bias of tokens used in completion.',
-        header: 'Logit Bias. See <a target="_blank" href="https://help.openai.com/en/articles/5247780-using-logit-bias-to-define-token-probability">this article</a> for more details.',
-        type: 'other',
-        hide: () => true,
-        // transform to word->weight pairs to token(s)->weight.
-        //  -- care should be taken to have each word key in the each record formatted in a way where they
-        //     only take one token each else you'll end up with results you probably don't want.
-        //     Generally, leading space plus common lower case word will more often result in a single token
-        //     See: https://platform.openai.com/tokenizer
-        apiTransform: (chatId, setting, val:Record<string, number>) => {
-          // console.log('logit_bias', val, getChatSettings(chatId).logit_bias)
-          if (!val) return null
-          const tokenized:Record<number, number> = Object.entries(val).reduce((a, [k, v]) => {
-            const tokens:number[] = getTokens(getChatSettings(chatId).model, k)
-            tokens.forEach(t => { a[t] = v })
-            return a
-          }, {} as Record<number, number>)
-          return tokenized
-        }
-      },
-      // Enable?
-      {
-        key: 'user',
-        name: 'User?',
-        title: 'Name of user?',
-        type: 'text',
-        hide: () => true
-      }
 ]
 
 const chatSettingLookup:Record<string, ChatSetting> = chatSettingsList.reduce((a, v) => {
diff --git a/src/lib/api/models.json b/src/lib/api/models.json
index f18b013..bf1f2b2 100644
--- a/src/lib/api/models.json
+++ b/src/lib/api/models.json
@@ -2,10 +2,10 @@
   "claude-sonnet-4-20250514":      { "prompt": 3.0,   "completion": 15.0, "max": 200000 },
   "claude-opus-4-20250514":        { "prompt": 15.0,  "completion": 75.0, "max": 200000 },
   "claude-3-7-sonnet-20250219":    { "prompt": 3.0,   "completion": 15.0, "max": 200000 },
-  "gpt-5":             { "prompt": 1.25,  "completion": 10.0,  "max": 131072 },
-  "gpt-5-mini":        { "prompt": 0.25,  "completion": 2.00,  "max": 131072 },
-  "gpt-5-nano":        { "prompt": 0.05,  "completion": 0.40,  "max": 131072 },
-  "gpt-5-chat-latest": { "prompt": 1.25,  "completion": 10.0,  "max": 131072 },
+  "gpt-5":             { "prompt": 1.25,  "completion": 10.0,  "max": 200000, "reasoning": true },
+  "gpt-5-mini":        { "prompt": 0.25,  "completion": 2.00,  "max": 200000, "reasoning": true },
+  "gpt-5-nano":        { "prompt": 0.05,  "completion": 0.40,  "max": 200000, "reasoning": true },
+  "gpt-5-chat-latest": { "prompt": 1.25,  "completion": 10.0,  "max": 200000, "reasoning": true },
   "gpt-4.1":           { "prompt": 2.00,  "completion": 8.00,  "max": 131072 },
   "gpt-4.1-mini":      { "prompt": 0.40,  "completion": 1.60,  "max": 131072 },
   "gpt-4.1-nano":      { "prompt": 0.10,  "completion": 0.03,  "max": 131072 },