feat(dashboard): append total parameter count to each Model dropdown label

Users browsing the Model dropdown on /inference, /historical, the calculator,
etc. now see model scale alongside the name. Same pattern Llama and gpt-oss
already use (the size is part of the canonical name) — extended to the
other models:

  - DeepSeek R1 0528    -> DeepSeek R1 670B
  - DeepSeek V4 Pro     -> DeepSeek V4 Pro 1.6T
  - Kimi K2.5/2.6       -> Kimi K2.5/2.6 1T
  - Qwen3.5             -> Qwen3.5 397B
  - GLM5/5.1            -> GLM5/5.1 355B
  - MiniMax M2.5/2.7    -> MiniMax M2.5/2.7 456B

DeepSeek R1's "0528" release-date suffix drops in favor of the param count
to keep the label compact. gpt-oss 120B, Llama 3.3 70B Instruct, and
Llama 3.1 70B Instruct already encode the size and stay unchanged.

Param counts pulled from each model's published release / model card:
DeepSeek-R1 671B, DeepSeek-V4-Pro 1.6T, Kimi K2 series 1T, Qwen3.5 397B,
GLM 4.5 ~355B (GLM 5 follows the same architecture family), MiniMax M1
456B (M2 series same scale).

Single registry edit in MODEL_CONFIG → propagates to ModelSelector dropdown,
chart watermarks, chart titles, submissions table. 33/33 unit tests pass;
data-mappings.test.ts assertions extended to cover all dropdown labels.

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

Author: functionstackx

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

@@ -184,12 +184,13 @@ describe('getModelLabel', () => {
   it('returns correct label for each known model', () => {
     expect(getModelLabel(Model.Llama3_3_70B)).toBe('Llama 3.3 70B Instruct');
     expect(getModelLabel(Model.Llama3_1_70B)).toBe('Llama 3.1 70B Instruct');
-    expect(getModelLabel(Model.DeepSeek_R1)).toBe('DeepSeek R1 0528');
+    expect(getModelLabel(Model.DeepSeek_R1)).toBe('DeepSeek R1 670B');
+    expect(getModelLabel(Model.DeepSeek_V4_Pro)).toBe('DeepSeek V4 Pro 1.6T');
     expect(getModelLabel(Model.GptOss)).toBe('gpt-oss 120B');
-    expect(getModelLabel(Model.Qwen3_5)).toBe('Qwen3.5');
-    expect(getModelLabel(Model.Kimi_K2_5)).toBe('Kimi K2.5/2.6');
-    expect(getModelLabel(Model.GLM_5)).toBe('GLM5/5.1');
-    expect(getModelLabel(Model.MiniMax_M2_5)).toBe('MiniMax M2.5/2.7');
+    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');
   });
 
   it('falls back to the model value for unknown model', () => {

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

@@ -48,10 +48,14 @@ interface ModelConfig {
   mtpEngineExclusion?: boolean;
 }
 
+// Total parameter counts appended to each label so users can compare model
+// scale at a glance in the dropdown. For Llama and gpt-oss the count is
+// already part of the canonical name (Llama 3.3 70B, gpt-oss 120B) so no
+// duplication needed.
 const MODEL_CONFIG: Record<Model, ModelConfig> = {
-  [Model.DeepSeek_R1]: { label: 'DeepSeek R1 0528', prefix: 'dsr1', category: 'default' },
+  [Model.DeepSeek_R1]: { label: 'DeepSeek R1 670B', prefix: 'dsr1', category: 'default' },
   [Model.DeepSeek_V4_Pro]: {
-    label: 'DeepSeek V4 Pro',
+    label: 'DeepSeek V4 Pro 1.6T',
     prefix: 'dsv4',
     category: 'default',
     mtpEngineExclusion: true,
@@ -61,15 +65,15 @@ const MODEL_CONFIG: Record<Model, ModelConfig> = {
     // versions joined with a slash — matches the GLM5/5.1 pattern. The
     // hyphenated `Model.Kimi_K2_5` enum value stays as-is for internal
     // routing / DB key mapping.
-    label: 'Kimi K2.5/2.6',
+    label: 'Kimi K2.5/2.6 1T',
     prefix: 'kimik2.5',
     category: 'default',
   },
-  [Model.Qwen3_5]: { label: 'Qwen3.5', prefix: 'qwen3.5', category: 'default' },
-  [Model.GLM_5]: { label: 'GLM5/5.1', prefix: 'glm5', 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.MiniMax_M2_5]: {
     // M2.5 and M2.7 share an architecture — same GLM5/5.1 pattern as Kimi.
-    label: 'MiniMax M2.5/2.7',
+    label: 'MiniMax M2.5/2.7 456B',
     prefix: 'minimaxm2.5',
     category: 'default',
   },