diff --git a/dashboard/src/app/control/control-client.tsx b/dashboard/src/app/control/control-client.tsx
index 1265df4..f6fc9c3 100644
--- a/dashboard/src/app/control/control-client.tsx
+++ b/dashboard/src/app/control/control-client.tsx
@@ -21,6 +21,7 @@ import {
   getRunningMissions,
   cancelMission,
   listModels,
+  getModelDisplayName,
   type ControlRunState,
   type Mission,
   type MissionStatus,
@@ -1202,7 +1203,7 @@ export default function ControlClient() {
                       </option>
                       {availableModels.map((model) => (
                         <option key={model} value={model} className="bg-[#1a1a1a]">
-                          {model.includes("/") ? model.split("/").pop() : model}
+                          {getModelDisplayName(model)}
                         </option>
                       ))}
                     </select>
diff --git a/dashboard/src/lib/api.ts b/dashboard/src/lib/api.ts
index 12fe350..b8896c6 100644
--- a/dashboard/src/lib/api.ts
+++ b/dashboard/src/lib/api.ts
@@ -763,3 +763,46 @@ export async function listModels(tier?: string): Promise<ModelsResponse> {
   if (!res.ok) throw new Error("Failed to fetch models");
   return res.json();
 }
+
+// Friendly display names for models
+const MODEL_DISPLAY_NAMES: Record<string, string> = {
+  // OpenAI - simplified (newest first)
+  "openai/gpt-5.2-pro": "gpt-5.2-pro",
+  "openai/gpt-5.2": "gpt-5.2",
+  "openai/gpt-5.2-chat": "gpt-5.2",
+  "openai/gpt-4.1-mini": "gpt-4-mini",
+  "openai/gpt-4.1": "gpt-4",
+  "openai/o1": "o1",
+  "openai/o3-mini-high": "o3-mini",
+  // Anthropic - simplified
+  "anthropic/claude-sonnet-4.5": "4.5-sonnet",
+  "anthropic/claude-opus-4.5": "4.5-opus",
+  "anthropic/claude-haiku-4.5": "4.5-haiku",
+  // Google
+  "google/gemini-3-flash-preview": "gemini-3-flash",
+  "google/gemini-3-pro-image-preview": "gemini-3-pro",
+  // DeepSeek
+  "deepseek/deepseek-r1": "deepseek-r1",
+  "deepseek/deepseek-chat-v3-0324": "deepseek-v3",
+  // Qwen
+  "qwen/qwq-32b": "qwq-32b",
+  "qwen/qwen-2.5-72b-instruct": "qwen-72b",
+  "qwen/qwen3-next-80b-a3b-thinking": "qwen3-thinking",
+  // Mistral
+  "mistralai/mistral-small-24b-instruct-2501": "mistral-small",
+  "mistralai/mistral-medium-3.1": "mistral-medium",
+  "mistralai/mistral-large-2512": "mistral-large",
+  // Meta
+  "meta-llama/llama-3.1-405b": "llama-405b",
+  "meta-llama/llama-3.2-90b-vision-instruct": "llama-90b-vision",
+  "meta-llama/llama-3.3-70b-instruct:free": "llama-70b (free)",
+};
+
+// Get display name for a model
+export function getModelDisplayName(modelId: string): string {
+  if (MODEL_DISPLAY_NAMES[modelId]) {
+    return MODEL_DISPLAY_NAMES[modelId];
+  }
+  // Fallback: strip provider prefix
+  return modelId.includes("/") ? modelId.split("/").pop()! : modelId;
+}
diff --git a/models_with_benchmarks.json b/models_with_benchmarks.json
index 5e51390..c690ac3 100644
--- a/models_with_benchmarks.json
+++ b/models_with_benchmarks.json
@@ -1,7 +1,7 @@
 {
-  "generated_at": "2025-12-19T07:20:20Z",
+  "generated_at": "2025-12-22T20:23:08Z",
   "total_models": 350,
-  "models_with_benchmarks": 158,
+  "models_with_benchmarks": 157,
   "categories": [
     "code",
     "math",
@@ -35,6 +35,21 @@
       ],
       "tier": "fast"
     },
+    "gpt-5": {
+      "latest": "openai/gpt-5.2-chat",
+      "members": [
+        "openai/gpt-5.2-chat",
+        "openai/gpt-5.2"
+      ],
+      "tier": "mid"
+    },
+    "gpt-5-pro": {
+      "latest": "openai/gpt-5.2-pro",
+      "members": [
+        "openai/gpt-5.2-pro"
+      ],
+      "tier": "flagship"
+    },
     "mistral-large": {
       "latest": "mistralai/mistral-large-2512",
       "members": [
@@ -85,6 +100,13 @@
       ],
       "tier": "mid"
     },
+    "qwen3-thinking": {
+      "latest": "qwen/qwen3-next-80b-a3b-thinking",
+      "members": [
+        "qwen/qwen3-next-80b-a3b-thinking"
+      ],
+      "tier": "flagship"
+    },
     "deepseek-chat": {
       "latest": "deepseek/deepseek-chat-v3-0324",
       "members": [
@@ -204,6 +226,10 @@
     "mistralai/mistral-small-creative": "mistralai/mistral-small-24b-instruct-2501",
     "mistral-small-creative": "mistralai/mistral-small-24b-instruct-2501",
     "mistral-small": "mistralai/mistral-small-24b-instruct-2501",
+    "openai/gpt-5.2": "openai/gpt-5.2-chat",
+    "gpt-5.2": "openai/gpt-5.2-chat",
+    "gpt-5": "openai/gpt-5.2-chat",
+    "gpt-5-pro": "openai/gpt-5.2-pro",
     "mistralai/mistral-large-2411": "mistralai/mistral-large-2512",
     "mistral-large-2411": "mistralai/mistral-large-2512",
     "mistralai/mistral-large-2407": "mistralai/mistral-large-2512",
@@ -244,6 +270,7 @@
     "claude-sonnet": "anthropic/claude-sonnet-4.5",
     "sonnet": "anthropic/claude-sonnet-4.5",
     "claude sonnet": "anthropic/claude-sonnet-4.5",
+    "qwen3-thinking": "qwen/qwen3-next-80b-a3b-thinking",
     "deepseek/deepseek-chat-v3.1": "deepseek/deepseek-chat-v3-0324",
     "deepseek-chat-v3.1": "deepseek/deepseek-chat-v3-0324",
     "deepseek/deepseek-chat": "deepseek/deepseek-chat-v3-0324",
@@ -280,6 +307,33 @@
     "llama-3-405b": "meta-llama/llama-3.1-405b"
   },
   "models": [
+    {
+      "id": "z-ai/glm-4.7",
+      "name": "Z.AI: GLM 4.7",
+      "context_length": 202752,
+      "architecture": {
+        "modality": "text->text",
+        "input_modalities": [
+          "text"
+        ],
+        "output_modalities": [
+          "text"
+        ],
+        "tokenizer": "Other",
+        "instruct_type": null
+      },
+      "pricing": {
+        "prompt": "0.00000044",
+        "completion": "0.00000174",
+        "request": "0",
+        "image": "0",
+        "web_search": "0",
+        "internal_reasoning": "0",
+        "input_cache_read": "0"
+      },
+      "benchmarks": null,
+      "category_scores": null
+    },
     {
       "id": "google/gemini-3-flash-preview",
       "name": "Google: Gemini 3 Flash Preview",
@@ -661,8 +715,8 @@
         "instruct_type": null
       },
       "pricing": {
-        "prompt": "0.00000015",
-        "completion": "0.0000006",
+        "prompt": "0.00000005",
+        "completion": "0.00000022",
         "request": "0",
         "image": "0",
         "web_search": "0",
@@ -1113,8 +1167,8 @@
         "instruct_type": null
       },
       "pricing": {
-        "prompt": "0.00000024",
-        "completion": "0.00000038",
+        "prompt": "0.000000239",
+        "completion": "0.000000378",
         "request": "0",
         "image": "0",
         "web_search": "0",
@@ -1660,8 +1714,8 @@
         "instruct_type": null
       },
       "pricing": {
-        "prompt": "0.00000045",
-        "completion": "0.00000235",
+        "prompt": "0.0000004",
+        "completion": "0.00000175",
         "request": "0",
         "image": "0",
         "web_search": "0",
@@ -3354,8 +3408,8 @@
         "instruct_type": null
       },
       "pricing": {
-        "prompt": "0.00000015",
-        "completion": "0.00000075",
+        "prompt": "0.0000002",
+        "completion": "0.0000008",
         "request": "0",
         "image": "0",
         "web_search": "0",
@@ -4471,7 +4525,7 @@
     {
       "id": "qwen/qwen3-coder-30b-a3b-instruct",
       "name": "Qwen: Qwen3 Coder 30B A3B Instruct",
-      "context_length": 262144,
+      "context_length": 160000,
       "architecture": {
         "modality": "text->text",
         "input_modalities": [
@@ -4484,8 +4538,8 @@
         "instruct_type": null
       },
       "pricing": {
-        "prompt": "0.00000006",
-        "completion": "0.00000025",
+        "prompt": "0.00000007",
+        "completion": "0.00000027",
         "request": "0",
         "image": "0",
         "web_search": "0",
@@ -6711,60 +6765,6 @@
         "general": 0.938
       }
     },
-    {
-      "id": "qwen/qwen3-235b-a22b:free",
-      "name": "Qwen: Qwen3 235B A22B (free)",
-      "context_length": 131072,
-      "architecture": {
-        "modality": "text->text",
-        "input_modalities": [
-          "text"
-        ],
-        "output_modalities": [
-          "text"
-        ],
-        "tokenizer": "Qwen3",
-        "instruct_type": "qwen3"
-      },
-      "pricing": {
-        "prompt": "0",
-        "completion": "0",
-        "request": "0",
-        "image": "0",
-        "web_search": "0",
-        "internal_reasoning": "0"
-      },
-      "benchmarks": {
-        "code": {
-          "livecodebench": 0.707,
-          "mbpp": 0.814
-        },
-        "math": {
-          "aime-2025": 0.815,
-          "aime-2024": 0.857,
-          "gsm8k": 0.9439,
-          "math": 0.7184
-        },
-        "reasoning": {
-          "gpqa": 0.4747,
-          "mmlu-pro": 0.6818,
-          "mmlu": 0.8781
-        },
-        "tool_calling": {
-          "bfcl": 0.708
-        },
-        "general": {
-          "arena-hard": 0.956
-        }
-      },
-      "category_scores": {
-        "code": 0.7605,
-        "math": 0.8336,
-        "reasoning": 0.6782,
-        "tool_calling": 0.708,
-        "general": 0.956
-      }
-    },
     {
       "id": "qwen/qwen3-235b-a22b",
       "name": "Qwen: Qwen3 235B A22B",
@@ -8632,8 +8632,8 @@
         "instruct_type": null
       },
       "pricing": {
-        "prompt": "0.0000002",
-        "completion": "0.0000002",
+        "prompt": "0.0000008",
+        "completion": "0.0000016",
         "request": "0",
         "image": "0",
         "web_search": "0",
@@ -8713,8 +8713,8 @@
         "instruct_type": null
       },
       "pricing": {
-        "prompt": "0.00000003",
-        "completion": "0.00000013",
+        "prompt": "0.00000007",
+        "completion": "0.00000026",
         "request": "0",
         "image": "0",
         "web_search": "0",
@@ -9025,7 +9025,7 @@
       },
       "pricing": {
         "prompt": "0.00000003",
-        "completion": "0.00000013",
+        "completion": "0.00000011",
         "request": "0",
         "image": "0",
         "web_search": "0",
@@ -9922,6 +9922,47 @@
       "benchmarks": null,
       "category_scores": null
     },
+    {
+      "id": "mistralai/ministral-3b",
+      "name": "Mistral: Ministral 3B",
+      "context_length": 131072,
+      "architecture": {
+        "modality": "text->text",
+        "input_modalities": [
+          "text"
+        ],
+        "output_modalities": [
+          "text"
+        ],
+        "tokenizer": "Mistral",
+        "instruct_type": null
+      },
+      "pricing": {
+        "prompt": "0.00000004",
+        "completion": "0.00000004",
+        "request": "0",
+        "image": "0",
+        "web_search": "0",
+        "internal_reasoning": "0"
+      },
+      "benchmarks": {
+        "code": {
+          "livecodebench": 0.548
+        },
+        "math": {
+          "aime-2025": 0.721,
+          "aime-2024": 0.775
+        },
+        "reasoning": {
+          "gpqa": 0.534
+        }
+      },
+      "category_scores": {
+        "code": 0.548,
+        "math": 0.748,
+        "reasoning": 0.534
+      }
+    },
     {
       "id": "mistralai/ministral-8b",
       "name": "Mistral: Ministral 8B",
@@ -9968,47 +10009,6 @@
         "general": 0.7695
       }
     },
-    {
-      "id": "mistralai/ministral-3b",
-      "name": "Mistral: Ministral 3B",
-      "context_length": 131072,
-      "architecture": {
-        "modality": "text->text",
-        "input_modalities": [
-          "text"
-        ],
-        "output_modalities": [
-          "text"
-        ],
-        "tokenizer": "Mistral",
-        "instruct_type": null
-      },
-      "pricing": {
-        "prompt": "0.00000004",
-        "completion": "0.00000004",
-        "request": "0",
-        "image": "0",
-        "web_search": "0",
-        "internal_reasoning": "0"
-      },
-      "benchmarks": {
-        "code": {
-          "livecodebench": 0.548
-        },
-        "math": {
-          "aime-2025": 0.721,
-          "aime-2024": 0.775
-        },
-        "reasoning": {
-          "gpqa": 0.534
-        }
-      },
-      "category_scores": {
-        "code": 0.548,
-        "math": 0.748,
-        "reasoning": 0.534
-      }
-    },
     {
       "id": "qwen/qwen-2.5-7b-instruct",
       "name": "Qwen: Qwen2.5 7B Instruct",
@@ -10102,8 +10102,8 @@
       }
     },
     {
-      "id": "inflection/inflection-3-pi",
-      "name": "Inflection: Inflection 3 Pi",
+      "id": "inflection/inflection-3-productivity",
+      "name": "Inflection: Inflection 3 Productivity",
       "context_length": 8000,
       "architecture": {
         "modality": "text->text",
@@ -10128,8 +10128,8 @@
       "category_scores": null
     },
     {
-      "id": "inflection/inflection-3-productivity",
-      "name": "Inflection: Inflection 3 Productivity",
+      "id": "inflection/inflection-3-pi",
+      "name": "Inflection: Inflection 3 Pi",
       "context_length": 8000,
       "architecture": {
         "modality": "text->text",
@@ -10206,33 +10206,6 @@
       "benchmarks": null,
       "category_scores": null
     },
-    {
-      "id": "meta-llama/llama-3.2-11b-vision-instruct",
-      "name": "Meta: Llama 3.2 11B Vision Instruct",
-      "context_length": 131072,
-      "architecture": {
-        "modality": "text+image->text",
-        "input_modalities": [
-          "text",
-          "image"
-        ],
-        "output_modalities": [
-          "text"
-        ],
-        "tokenizer": "Llama3",
-        "instruct_type": "llama3"
-      },
-      "pricing": {
-        "prompt": "0.000000049",
-        "completion": "0.000000049",
-        "request": "0",
-        "image": "0.00007948",
-        "web_search": "0",
-        "internal_reasoning": "0"
-      },
-      "benchmarks": null,
-      "category_scores": null
-    },
     {
       "id": "meta-llama/llama-3.2-1b-instruct",
       "name": "Meta: Llama 3.2 1B Instruct",
@@ -10361,6 +10334,33 @@
         "general": 0.774
       }
     },
+    {
+      "id": "meta-llama/llama-3.2-11b-vision-instruct",
+      "name": "Meta: Llama 3.2 11B Vision Instruct",
+      "context_length": 131072,
+      "architecture": {
+        "modality": "text+image->text",
+        "input_modalities": [
+          "text",
+          "image"
+        ],
+        "output_modalities": [
+          "text"
+        ],
+        "tokenizer": "Llama3",
+        "instruct_type": "llama3"
+      },
+      "pricing": {
+        "prompt": "0.000000049",
+        "completion": "0.000000049",
+        "request": "0",
+        "image": "0.00007948",
+        "web_search": "0",
+        "internal_reasoning": "0"
+      },
+      "benchmarks": null,
+      "category_scores": null
+    },
     {
       "id": "qwen/qwen-2.5-72b-instruct",
       "name": "Qwen2.5 72B Instruct",
@@ -10377,8 +10377,8 @@
         "instruct_type": "chatml"
       },
       "pricing": {
-        "prompt": "0.00000007",
-        "completion": "0.00000026",
+        "prompt": "0.00000012",
+        "completion": "0.00000039",
         "request": "0",
         "image": "0",
         "web_search": "0",
@@ -10535,6 +10535,32 @@
       "benchmarks": null,
       "category_scores": null
     },
+    {
+      "id": "sao10k/l3.1-euryale-70b",
+      "name": "Sao10K: Llama 3.1 Euryale 70B v2.2",
+      "context_length": 32768,
+      "architecture": {
+        "modality": "text->text",
+        "input_modalities": [
+          "text"
+        ],
+        "output_modalities": [
+          "text"
+        ],
+        "tokenizer": "Llama3",
+        "instruct_type": "llama3"
+      },
+      "pricing": {
+        "prompt": "0.00000065",
+        "completion": "0.00000075",
+        "request": "0",
+        "image": "0",
+        "web_search": "0",
+        "internal_reasoning": "0"
+      },
+      "benchmarks": null,
+      "category_scores": null
+    },
     {
       "id": "qwen/qwen-2.5-vl-7b-instruct:free",
       "name": "Qwen: Qwen2.5-VL 7B Instruct (free)",
@@ -10589,32 +10615,6 @@
       "benchmarks": null,
       "category_scores": null
     },
-    {
-      "id": "sao10k/l3.1-euryale-70b",
-      "name": "Sao10K: Llama 3.1 Euryale 70B v2.2",
-      "context_length": 32768,
-      "architecture": {
-        "modality": "text->text",
-        "input_modalities": [
-          "text"
-        ],
-        "output_modalities": [
-          "text"
-        ],
-        "tokenizer": "Llama3",
-        "instruct_type": "llama3"
-      },
-      "pricing": {
-        "prompt": "0.00000065",
-        "completion": "0.00000075",
-        "request": "0",
-        "image": "0",
-        "web_search": "0",
-        "internal_reasoning": "0"
-      },
-      "benchmarks": null,
-      "category_scores": null
-    },
     {
       "id": "microsoft/phi-3.5-mini-128k-instruct",
       "name": "Microsoft: Phi-3.5 Mini 128K Instruct",
@@ -10874,6 +10874,53 @@
         "general": 0.886
       }
     },
+    {
+      "id": "meta-llama/llama-3.1-70b-instruct",
+      "name": "Meta: Llama 3.1 70B Instruct",
+      "context_length": 131072,
+      "architecture": {
+        "modality": "text->text",
+        "input_modalities": [
+          "text"
+        ],
+        "output_modalities": [
+          "text"
+        ],
+        "tokenizer": "Llama3",
+        "instruct_type": "llama3"
+      },
+      "pricing": {
+        "prompt": "0.0000004",
+        "completion": "0.0000004",
+        "request": "0",
+        "image": "0",
+        "web_search": "0",
+        "internal_reasoning": "0"
+      },
+      "benchmarks": {
+        "code": {
+          "humaneval": 0.805
+        },
+        "reasoning": {
+          "gpqa": 0.417,
+          "mmlu-pro": 0.664,
+          "mmlu": 0.836
+        },
+        "tool_calling": {
+          "bfcl": 0.848,
+          "nexus": 0.567
+        },
+        "general": {
+          "ifeval": 0.875
+        }
+      },
+      "category_scores": {
+        "code": 0.805,
+        "reasoning": 0.639,
+        "tool_calling": 0.7075,
+        "general": 0.875
+      }
+    },
     {
       "id": "meta-llama/llama-3.1-405b-instruct:free",
       "name": "Meta: Llama 3.1 405B Instruct (free)",
@@ -11025,53 +11072,6 @@
         "general": 0.804
       }
     },
-    {
-      "id": "meta-llama/llama-3.1-70b-instruct",
-      "name": "Meta: Llama 3.1 70B Instruct",
-      "context_length": 131072,
-      "architecture": {
-        "modality": "text->text",
-        "input_modalities": [
-          "text"
-        ],
-        "output_modalities": [
-          "text"
-        ],
-        "tokenizer": "Llama3",
-        "instruct_type": "llama3"
-      },
-      "pricing": {
-        "prompt": "0.0000004",
-        "completion": "0.0000004",
-        "request": "0",
-        "image": "0",
-        "web_search": "0",
-        "internal_reasoning": "0"
-      },
-      "benchmarks": {
-        "code": {
-          "humaneval": 0.805
-        },
-        "reasoning": {
-          "gpqa": 0.417,
-          "mmlu-pro": 0.664,
-          "mmlu": 0.836
-        },
-        "tool_calling": {
-          "bfcl": 0.848,
-          "nexus": 0.567
-        },
-        "general": {
-          "ifeval": 0.875
-        }
-      },
-      "category_scores": {
-        "code": 0.805,
-        "reasoning": 0.639,
-        "tool_calling": 0.7075,
-        "general": 0.875
-      }
-    },
     {
       "id": "mistralai/mistral-nemo",
       "name": "Mistral: Mistral Nemo",
@@ -11108,8 +11108,8 @@
       }
     },
     {
-      "id": "openai/gpt-4o-mini-2024-07-18",
-      "name": "OpenAI: GPT-4o-mini (2024-07-18)",
+      "id": "openai/gpt-4o-mini",
+      "name": "OpenAI: GPT-4o-mini",
       "context_length": 128000,
       "architecture": {
         "modality": "text+image->text",
@@ -11128,7 +11128,7 @@
         "prompt": "0.00000015",
         "completion": "0.0000006",
         "request": "0",
-        "image": "0.007225",
+        "image": "0.000217",
         "web_search": "0",
         "internal_reasoning": "0",
         "input_cache_read": "0.000000075"
@@ -11153,8 +11153,8 @@
       }
     },
     {
-      "id": "openai/gpt-4o-mini",
-      "name": "OpenAI: GPT-4o-mini",
+      "id": "openai/gpt-4o-mini-2024-07-18",
+      "name": "OpenAI: GPT-4o-mini (2024-07-18)",
       "context_length": 128000,
       "architecture": {
         "modality": "text+image->text",
@@ -11173,7 +11173,7 @@
         "prompt": "0.00000015",
         "completion": "0.0000006",
         "request": "0",
-        "image": "0.000217",
+        "image": "0.007225",
         "web_search": "0",
         "internal_reasoning": "0",
         "input_cache_read": "0.000000075"
@@ -11311,58 +11311,6 @@
       "benchmarks": null,
       "category_scores": null
     },
-    {
-      "id": "mistralai/mistral-7b-instruct:free",
-      "name": "Mistral: Mistral 7B Instruct (free)",
-      "context_length": 32768,
-      "architecture": {
-        "modality": "text->text",
-        "input_modalities": [
-          "text"
-        ],
-        "output_modalities": [
-          "text"
-        ],
-        "tokenizer": "Mistral",
-        "instruct_type": "mistral"
-      },
-      "pricing": {
-        "prompt": "0",
-        "completion": "0",
-        "request": "0",
-        "image": "0",
-        "web_search": "0",
-        "internal_reasoning": "0"
-      },
-      "benchmarks": null,
-      "category_scores": null
-    },
-    {
-      "id": "mistralai/mistral-7b-instruct",
-      "name": "Mistral: Mistral 7B Instruct",
-      "context_length": 32768,
-      "architecture": {
-        "modality": "text->text",
-        "input_modalities": [
-          "text"
-        ],
-        "output_modalities": [
-          "text"
-        ],
-        "tokenizer": "Mistral",
-        "instruct_type": "mistral"
-      },
-      "pricing": {
-        "prompt": "0.000000028",
-        "completion": "0.000000054",
-        "request": "0",
-        "image": "0",
-        "web_search": "0",
-        "internal_reasoning": "0"
-      },
-      "benchmarks": null,
-      "category_scores": null
-    },
     {
       "id": "nousresearch/hermes-2-pro-llama-3-8b",
       "name": "NousResearch: Hermes 2 Pro - Llama-3 8B",
@@ -11415,6 +11363,58 @@
       "benchmarks": null,
       "category_scores": null
     },
+    {
+      "id": "mistralai/mistral-7b-instruct:free",
+      "name": "Mistral: Mistral 7B Instruct (free)",
+      "context_length": 32768,
+      "architecture": {
+        "modality": "text->text",
+        "input_modalities": [
+          "text"
+        ],
+        "output_modalities": [
+          "text"
+        ],
+        "tokenizer": "Mistral",
+        "instruct_type": "mistral"
+      },
+      "pricing": {
+        "prompt": "0",
+        "completion": "0",
+        "request": "0",
+        "image": "0",
+        "web_search": "0",
+        "internal_reasoning": "0"
+      },
+      "benchmarks": null,
+      "category_scores": null
+    },
+    {
+      "id": "mistralai/mistral-7b-instruct",
+      "name": "Mistral: Mistral 7B Instruct",
+      "context_length": 32768,
+      "architecture": {
+        "modality": "text->text",
+        "input_modalities": [
+          "text"
+        ],
+        "output_modalities": [
+          "text"
+        ],
+        "tokenizer": "Mistral",
+        "instruct_type": "mistral"
+      },
+      "pricing": {
+        "prompt": "0.000000028",
+        "completion": "0.000000054",
+        "request": "0",
+        "image": "0",
+        "web_search": "0",
+        "internal_reasoning": "0"
+      },
+      "benchmarks": null,
+      "category_scores": null
+    },
     {
       "id": "microsoft/phi-3-mini-128k-instruct",
       "name": "Microsoft: Phi-3 Mini 128K Instruct",
@@ -11467,76 +11467,6 @@
       "benchmarks": null,
       "category_scores": null
     },
-    {
-      "id": "meta-llama/llama-guard-2-8b",
-      "name": "Meta: LlamaGuard 2 8B",
-      "context_length": 8192,
-      "architecture": {
-        "modality": "text->text",
-        "input_modalities": [
-          "text"
-        ],
-        "output_modalities": [
-          "text"
-        ],
-        "tokenizer": "Llama3",
-        "instruct_type": "none"
-      },
-      "pricing": {
-        "prompt": "0.0000002",
-        "completion": "0.0000002",
-        "request": "0",
-        "image": "0",
-        "web_search": "0",
-        "internal_reasoning": "0"
-      },
-      "benchmarks": null,
-      "category_scores": null
-    },
-    {
-      "id": "openai/gpt-4o-2024-05-13",
-      "name": "OpenAI: GPT-4o (2024-05-13)",
-      "context_length": 128000,
-      "architecture": {
-        "modality": "text+image->text",
-        "input_modalities": [
-          "text",
-          "image",
-          "file"
-        ],
-        "output_modalities": [
-          "text"
-        ],
-        "tokenizer": "GPT",
-        "instruct_type": null
-      },
-      "pricing": {
-        "prompt": "0.000005",
-        "completion": "0.000015",
-        "request": "0",
-        "image": "0.007225",
-        "web_search": "0",
-        "internal_reasoning": "0"
-      },
-      "benchmarks": {
-        "code": {
-          "humaneval": 0.902
-        },
-        "math": {
-          "math": 0.766
-        },
-        "reasoning": {
-          "gpqa": 0.536,
-          "mmlu-pro": 0.726,
-          "mmlu": 0.887
-        }
-      },
-      "category_scores": {
-        "code": 0.902,
-        "math": 0.766,
-        "reasoning": 0.7163
-      }
-    },
     {
       "id": "openai/gpt-4o",
       "name": "OpenAI: GPT-4o",
@@ -11616,8 +11546,8 @@
       "category_scores": null
     },
     {
-      "id": "meta-llama/llama-3-70b-instruct",
-      "name": "Meta: Llama 3 70B Instruct",
+      "id": "meta-llama/llama-guard-2-8b",
+      "name": "Meta: LlamaGuard 2 8B",
       "context_length": 8192,
       "architecture": {
         "modality": "text->text",
@@ -11628,11 +11558,11 @@
           "text"
         ],
         "tokenizer": "Llama3",
-        "instruct_type": "llama3"
+        "instruct_type": "none"
       },
       "pricing": {
-        "prompt": "0.0000003",
-        "completion": "0.0000004",
+        "prompt": "0.0000002",
+        "completion": "0.0000002",
         "request": "0",
         "image": "0",
         "web_search": "0",
@@ -11641,6 +11571,50 @@
       "benchmarks": null,
       "category_scores": null
     },
+    {
+      "id": "openai/gpt-4o-2024-05-13",
+      "name": "OpenAI: GPT-4o (2024-05-13)",
+      "context_length": 128000,
+      "architecture": {
+        "modality": "text+image->text",
+        "input_modalities": [
+          "text",
+          "image",
+          "file"
+        ],
+        "output_modalities": [
+          "text"
+        ],
+        "tokenizer": "GPT",
+        "instruct_type": null
+      },
+      "pricing": {
+        "prompt": "0.000005",
+        "completion": "0.000015",
+        "request": "0",
+        "image": "0.007225",
+        "web_search": "0",
+        "internal_reasoning": "0"
+      },
+      "benchmarks": {
+        "code": {
+          "humaneval": 0.902
+        },
+        "math": {
+          "math": 0.766
+        },
+        "reasoning": {
+          "gpqa": 0.536,
+          "mmlu-pro": 0.726,
+          "mmlu": 0.887
+        }
+      },
+      "category_scores": {
+        "code": 0.902,
+        "math": 0.766,
+        "reasoning": 0.7163
+      }
+    },
     {
       "id": "meta-llama/llama-3-8b-instruct",
       "name": "Meta: Llama 3 8B Instruct",
@@ -11667,6 +11641,32 @@
       "benchmarks": null,
       "category_scores": null
     },
+    {
+      "id": "meta-llama/llama-3-70b-instruct",
+      "name": "Meta: Llama 3 70B Instruct",
+      "context_length": 8192,
+      "architecture": {
+        "modality": "text->text",
+        "input_modalities": [
+          "text"
+        ],
+        "output_modalities": [
+          "text"
+        ],
+        "tokenizer": "Llama3",
+        "instruct_type": "llama3"
+      },
+      "pricing": {
+        "prompt": "0.0000003",
+        "completion": "0.0000004",
+        "request": "0",
+        "image": "0",
+        "web_search": "0",
+        "internal_reasoning": "0"
+      },
+      "benchmarks": null,
+      "category_scores": null
+    },
     {
       "id": "mistralai/mixtral-8x22b-instruct",
       "name": "Mistral: Mixtral 8x22B Instruct",
@@ -11898,32 +11898,6 @@
         "general": 0.863
       }
     },
-    {
-      "id": "openai/gpt-3.5-turbo-0613",
-      "name": "OpenAI: GPT-3.5 Turbo (older v0613)",
-      "context_length": 4095,
-      "architecture": {
-        "modality": "text->text",
-        "input_modalities": [
-          "text"
-        ],
-        "output_modalities": [
-          "text"
-        ],
-        "tokenizer": "GPT",
-        "instruct_type": null
-      },
-      "pricing": {
-        "prompt": "0.000001",
-        "completion": "0.000002",
-        "request": "0",
-        "image": "0",
-        "web_search": "0",
-        "internal_reasoning": "0"
-      },
-      "benchmarks": null,
-      "category_scores": null
-    },
     {
       "id": "openai/gpt-4-turbo-preview",
       "name": "OpenAI: GPT-4 Turbo Preview",
@@ -11950,6 +11924,32 @@
       "benchmarks": null,
       "category_scores": null
     },
+    {
+      "id": "openai/gpt-3.5-turbo-0613",
+      "name": "OpenAI: GPT-3.5 Turbo (older v0613)",
+      "context_length": 4095,
+      "architecture": {
+        "modality": "text->text",
+        "input_modalities": [
+          "text"
+        ],
+        "output_modalities": [
+          "text"
+        ],
+        "tokenizer": "GPT",
+        "instruct_type": null
+      },
+      "pricing": {
+        "prompt": "0.000001",
+        "completion": "0.000002",
+        "request": "0",
+        "image": "0",
+        "web_search": "0",
+        "internal_reasoning": "0"
+      },
+      "benchmarks": null,
+      "category_scores": null
+    },
     {
       "id": "mistralai/mistral-tiny",
       "name": "Mistral Tiny",
@@ -12128,32 +12128,6 @@
       "benchmarks": null,
       "category_scores": null
     },
-    {
-      "id": "openai/gpt-3.5-turbo-instruct",
-      "name": "OpenAI: GPT-3.5 Turbo Instruct",
-      "context_length": 4095,
-      "architecture": {
-        "modality": "text->text",
-        "input_modalities": [
-          "text"
-        ],
-        "output_modalities": [
-          "text"
-        ],
-        "tokenizer": "GPT",
-        "instruct_type": "chatml"
-      },
-      "pricing": {
-        "prompt": "0.0000015",
-        "completion": "0.000002",
-        "request": "0",
-        "image": "0",
-        "web_search": "0",
-        "internal_reasoning": "0"
-      },
-      "benchmarks": null,
-      "category_scores": null
-    },
     {
       "id": "mistralai/mistral-7b-instruct-v0.1",
       "name": "Mistral: Mistral 7B Instruct v0.1",
@@ -12180,6 +12154,32 @@
       "benchmarks": null,
       "category_scores": null
     },
+    {
+      "id": "openai/gpt-3.5-turbo-instruct",
+      "name": "OpenAI: GPT-3.5 Turbo Instruct",
+      "context_length": 4095,
+      "architecture": {
+        "modality": "text->text",
+        "input_modalities": [
+          "text"
+        ],
+        "output_modalities": [
+          "text"
+        ],
+        "tokenizer": "GPT",
+        "instruct_type": "chatml"
+      },
+      "pricing": {
+        "prompt": "0.0000015",
+        "completion": "0.000002",
+        "request": "0",
+        "image": "0",
+        "web_search": "0",
+        "internal_reasoning": "0"
+      },
+      "benchmarks": null,
+      "category_scores": null
+    },
     {
       "id": "openai/gpt-3.5-turbo-16k",
       "name": "OpenAI: GPT-3.5 Turbo 16k",
@@ -12310,6 +12310,47 @@
       "benchmarks": null,
       "category_scores": null
     },
+    {
+      "id": "openai/gpt-3.5-turbo",
+      "name": "OpenAI: GPT-3.5 Turbo",
+      "context_length": 16385,
+      "architecture": {
+        "modality": "text->text",
+        "input_modalities": [
+          "text"
+        ],
+        "output_modalities": [
+          "text"
+        ],
+        "tokenizer": "GPT",
+        "instruct_type": null
+      },
+      "pricing": {
+        "prompt": "0.0000005",
+        "completion": "0.0000015",
+        "request": "0",
+        "image": "0",
+        "web_search": "0",
+        "internal_reasoning": "0"
+      },
+      "benchmarks": {
+        "code": {
+          "humaneval": 0.68
+        },
+        "math": {
+          "math": 0.431
+        },
+        "reasoning": {
+          "gpqa": 0.308,
+          "mmlu": 0.698
+        }
+      },
+      "category_scores": {
+        "code": 0.68,
+        "math": 0.431,
+        "reasoning": 0.503
+      }
+    },
     {
       "id": "openai/gpt-4",
       "name": "OpenAI: GPT-4",
@@ -12356,47 +12397,6 @@
         "reasoning": 0.7825,
         "general": 0.874
       }
-    },
-    {
-      "id": "openai/gpt-3.5-turbo",
-      "name": "OpenAI: GPT-3.5 Turbo",
-      "context_length": 16385,
-      "architecture": {
-        "modality": "text->text",
-        "input_modalities": [
-          "text"
-        ],
-        "output_modalities": [
-          "text"
-        ],
-        "tokenizer": "GPT",
-        "instruct_type": null
-      },
-      "pricing": {
-        "prompt": "0.0000005",
-        "completion": "0.0000015",
-        "request": "0",
-        "image": "0",
-        "web_search": "0",
-        "internal_reasoning": "0"
-      },
-      "benchmarks": {
-        "code": {
-          "humaneval": 0.68
-        },
-        "math": {
-          "math": 0.431
-        },
-        "reasoning": {
-          "gpqa": 0.308,
-          "mmlu": 0.698
-        }
-      },
-      "category_scores": {
-        "code": 0.68,
-        "math": 0.431,
-        "reasoning": 0.503
-      }
     }
   ]
 }
\ No newline at end of file
diff --git a/scripts/merge_benchmarks.py b/scripts/merge_benchmarks.py
index 6f9bb56..b51520e 100644
--- a/scripts/merge_benchmarks.py
+++ b/scripts/merge_benchmarks.py
@@ -76,6 +76,9 @@ MODEL_FAMILY_PATTERNS = [
     (r"^anthropic/claude-(\d+\.?\d*)-haiku$", "claude-haiku", "fast"),
     
     # OpenAI GPT
+    (r"^openai/gpt-5\.2-pro$", "gpt-5-pro", "flagship"),
+    (r"^openai/gpt-5\.2$", "gpt-5", "mid"),
+    (r"^openai/gpt-5\.2-chat$", "gpt-5", "mid"),
     (r"^openai/gpt-4\.1$", "gpt-4", "mid"),
     (r"^openai/gpt-4o$", "gpt-4", "mid"),
     (r"^openai/gpt-4-turbo", "gpt-4", "mid"),
@@ -110,6 +113,8 @@ MODEL_FAMILY_PATTERNS = [
     # Qwen
     (r"^qwen/qwen-2\.5-72b", "qwen-72b", "mid"),
     (r"^qwen/qwq-32b", "qwq", "mid"),
+    (r"^qwen/qwen3-next-80b.*thinking", "qwen3-thinking", "flagship"),
+    (r"^qwen/qwen3-235b.*instruct", "qwen3-instruct", "mid"),
 ]
 
 HEADERS = {
diff --git a/src/budget/pricing.rs b/src/budget/pricing.rs
index e8c15bb..d111588 100644
--- a/src/budget/pricing.rs
+++ b/src/budget/pricing.rs
@@ -238,7 +238,10 @@ impl ModelPricing {
             // Flagship tier
             "openai/o1",
             "openai/o1-preview",
+            "openai/gpt-5.2-pro",
             // Mid tier
+            "openai/gpt-5.2",
+            "openai/gpt-5.2-chat",
             "openai/gpt-4.1",
             "openai/gpt-4o",
             "openai/gpt-4-turbo",