fix(dashboard): correct GLM-5 (744B) and MiniMax-M2.5/2.7 (230B) param counts

Two labels carried over numbers from older sibling models:
- GLM5/5.1: 355B → 744B total / 40B active (355B was GLM-4.5).
  Source: zai-org/GLM-5 model card.
- MiniMax M2.5/2.7: 456B → 230B total / 10B active (456B was
  MiniMax-Text-01 / M1, a different MoE architecture with 32 large
  experts vs the M2 series' 256 small experts).
  Sources: MiniMaxAI/MiniMax-M2.5 model card; NVIDIA M2.7 blog.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

Author: functionstackx

packages/app/src/lib/data-mappings.test.ts

@@ -189,8 +189,8 @@ describe('getModelLabel', () => {
     expect(getModelLabel(Model.GptOss)).toBe('gpt-oss 120B');
     expect(getModelLabel(Model.Qwen3_5)).toBe('Qwen3.5 397B');
     expect(getModelLabel(Model.Kimi_K2_5)).toBe('Kimi K2.5/2.6 1T');
-    expect(getModelLabel(Model.GLM_5)).toBe('GLM5/5.1 355B');
-    expect(getModelLabel(Model.MiniMax_M2_5)).toBe('MiniMax M2.5/2.7 456B');
+    expect(getModelLabel(Model.GLM_5)).toBe('GLM5/5.1 744B');
+    expect(getModelLabel(Model.MiniMax_M2_5)).toBe('MiniMax M2.5/2.7 230B');
   });
 
   it('falls back to the model value for unknown model', () => {

packages/app/src/lib/data-mappings.ts

@@ -70,10 +70,10 @@ const MODEL_CONFIG: Record<Model, ModelConfig> = {
     category: 'default',
   },
   [Model.Qwen3_5]: { label: 'Qwen3.5 397B', prefix: 'qwen3.5', category: 'default' },
-  [Model.GLM_5]: { label: 'GLM5/5.1 355B', prefix: 'glm5', category: 'default' },
+  [Model.GLM_5]: { label: 'GLM5/5.1 744B', prefix: 'glm5', category: 'default' },
   [Model.MiniMax_M2_5]: {
     // M2.5 and M2.7 share an architecture — same GLM5/5.1 pattern as Kimi.
-    label: 'MiniMax M2.5/2.7 456B',
+    label: 'MiniMax M2.5/2.7 230B',
     prefix: 'minimaxm2.5',
     category: 'default',
   },