Add Qwen3.8-Flash-Next (FP8 + NVFP4) / 新增 Qwen3.8-Flash-Next 模型（FP8 与 NVFP4）

AGENTS.md

@@ -225,6 +225,7 @@ Authoritative total / active parameter counts for every model in the dashboard.
 | Kimi-K2.6              | 1T    | 32B         | `moonshotai/Kimi-K2.6`              | HF model card                      |
 | Kimi-K2.7-Code         | 1T    | 32B         | `moonshotai/Kimi-K2.7-Code`         | HF model card                      |
 | Qwen3.5-397B-A17B      | 397B  | 17B         | `Qwen/Qwen3.5-397B-A17B`            | HF model card                      |
+| Qwen3.8-Flash-Next     | 176B  | 6B          | `Qwen/Qwen3.8-Flash-Next-FP8`       | HF model card                      |
 | GLM-5                  | 744B  | 40B         | `zai-org/GLM-5`                     | HF model card                      |
 | GLM-5.1                | 744B  | 40B         | `zai-org/GLM-5.1-FP8`               | HF model card (same base as GLM-5) |
 | MiniMax-M2.5           | 230B  | 10B         | `MiniMaxAI/MiniMax-M2.5`            | HF model card                      |
@@ -234,6 +235,7 @@ Authoritative total / active parameter counts for every model in the dashboard.
 
 **Common mislabel traps** (have all bitten this repo at least once — do not repeat):
 
+- **Qwen3.8-Flash-Next is 176B, not 125B.** The model card leads with "125B with 6B activated", but that is the main model only; the 51B n-gram embedding table brings the total to 176B. The separate 4B MTP head sits outside both figures. It is a Qwen4-architecture preview (GatedDeltaNet + Qwen Sparse Attention, 512 experts, 10 routed + 1 shared), not a Qwen3.5 point release, so it gets its own DB bucket.
 - **GLM-5 ≠ 355B.** 355B is GLM-4.5. GLM-5 jumped to 744B / 40B active (256-expert MoE with DSA).
 - **MiniMax-M2.5/M2.7 ≠ 456B.** 456B is the older MiniMax-Text-01 / M1 (32 large experts). The M2 series is a different architecture: 230B / 10B active, 256 small experts.
 - **DeepSeek-R1 is 671B, not 685B.** HF metadata shows 685B because the bundled MTP head adds ~14B; the core MoE is 671B / 37B active.

packages/app/src/lib/api-route-catalog.ts

@@ -687,7 +687,7 @@ export const apiContractSourceDigests = [
     // Reviewed again for the release-date corrections: values inside
     // MODEL_RELEASE_DATES only. No published model name, alias, or parameter enum
     // is touched, and no endpoint exposes a release date, so the docs stand.
-    sourceSha256: 'f8f46a341bf57384c0080c2ed75d867801142675ded08225281cf7c102236628',
+    sourceSha256: '9faf1ed1ed1712ee04741b6aa2291d42b2c202c2dadbb1a2681b5391da555e6c',
     reviewArea: {
       en: 'Published benchmark and TCO model names, aliases, and parameter enums.',
       zh: '已发布基准与 TCO 模型名称、别名和参数枚举。',

packages/app/src/lib/compare-slug.test.ts

@@ -272,6 +272,7 @@ describe('compareModelSeoName', () => {
     'glm-5-2': 'GLM-5.2',
     'minimax-m3': 'MiniMax M3',
     'minimax-m27': 'MiniMax M2.7',
+    'qwen-3-8-flash-next': 'Qwen3.8-Flash-Next',
     'qwen-3-5': 'Qwen3.5',
     'gptoss-120b': 'gpt-oss-120b',
     'llama-3-3-70b': 'Llama 3.3 70B',

packages/app/src/lib/compare-slug.ts

@@ -122,6 +122,15 @@ export const COMPARE_MODEL_SLUGS: CompareModelSlug[] = [
     // Primary version the slug canonicalizes to (M2.7).
     seoName: 'MiniMax M2.7',
   },
+  {
+    slug: 'qwen-3-8-flash-next',
+    displayName: 'Qwen3.8-Flash-Next',
+    dbKeys: ['qwen3.8next'],
+    // 176B total: a 125B main model plus a 51B n-gram embedding table, with 6B
+    // active per forward pass (MoE). The 4B MTP head sits outside that total.
+    label: 'Qwen 3.8 Flash Next 176B-A6B',
+    seoName: 'Qwen3.8-Flash-Next',
+  },
   {
     slug: 'qwen-3-5',
     displayName: 'Qwen-3.5-397B-A17B',

packages/app/src/lib/compare-ssr.ts

@@ -48,6 +48,7 @@ export const KNOWN_MODELS = new Set([
   'DeepSeek-R1-0528',
   'gpt-oss-120b',
   'Qwen-3.5-397B-A17B',
+  'Qwen3.8-Flash-Next',
   'Kimi-K2.5',
   'Kimi-K3',
   'MiniMax-M2.5',

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

@@ -6,6 +6,7 @@ export enum Model {
   DeepSeek_R1 = 'DeepSeek-R1-0528',
   GptOss = 'gpt-oss-120b',
   Qwen3_5 = 'Qwen-3.5-397B-A17B',
+  Qwen3_8_Flash_Next = 'Qwen3.8-Flash-Next',
   Kimi_K2_5 = 'Kimi-K2.5',
   Kimi_K3 = 'Kimi-K3',
   MiniMax_M2_5 = 'MiniMax-M2.5',
@@ -167,6 +168,18 @@ const MODEL_CONFIG: Record<Model, ModelConfig> = {
   // the selector presents both releases over the existing GLM-5.2 data bucket.
   [Model.GLM_5_2]: { label: 'GLM5.2/GLM5.3 744B', prefix: 'glm5.2', category: 'default' },
   [Model.Qwen3_5]: { label: 'Qwen3.5 397B', prefix: 'qwen3.5', category: 'default' },
+  // 176B total: a 125B main model plus a 51B n-gram embedding table, 6B active
+  // per forward pass, and a separate 4B MTP head the parameter count excludes.
+  // Experimental rather than default while the only data is the day-zero H200
+  // FP8 agentic arm: `default` would seat it in the /overview matrix, which is
+  // built from DEFAULT_MODELS and would render an empty fixed-sequence row for
+  // it. It stays fully selectable everywhere else, since MODEL_OPTIONS excludes
+  // only `hidden`. Promote to `default` once the sweep covers more chips.
+  [Model.Qwen3_8_Flash_Next]: {
+    label: 'Qwen3.8 Flash Next 176B',
+    prefix: 'qwen3.8next',
+    category: 'experimental',
+  },
   [Model.GptOss]: { label: 'gpt-oss 120B', prefix: 'gptoss', category: 'deprecated' },
   [Model.MiniMax_M2_5]: {
     // M2.5 and M2.7 share an architecture — same GLM5/5.1 pattern as Kimi.

packages/app/src/lib/rankings.test.ts

@@ -67,7 +67,7 @@ describe('rankings registry', () => {
   it('has one page per (kind, model) pair', () => {
     const entries = getAllRankingPageEntries();
     expect(entries.length).toBe(RANKING_KINDS.length * INFERENCE_MODEL_SLUGS.length);
-    expect(entries.length).toBe(22);
+    expect(entries.length).toBe(24);
   });
 
   it('has unique, well-formed slugs', () => {

packages/app/src/lib/run-pages.test.ts

@@ -35,7 +35,7 @@ describe('run pages registry', () => {
   it('has one candidate per (model, chip) pair', () => {
     const entries = getAllRunPageEntries();
     expect(entries.length).toBe(INFERENCE_MODEL_SLUGS.length * getAllChipPages().length);
-    expect(entries.length).toBe(99);
+    expect(entries.length).toBe(108);
   });
 
   it('has unique, well-formed slugs', () => {

packages/constants/src/models.ts

@@ -11,6 +11,9 @@ export const DB_MODEL_TO_DISPLAY: Record<string, string> = {
   gptoss120b: 'gpt-oss-120b',
   llama70b: 'Llama-3.3-70B-Instruct-FP8',
   'qwen3.5': 'Qwen-3.5-397B-A17B',
+  // Qwen4-architecture preview, not a Qwen3.5 point release (GatedDeltaNet plus
+  // Qwen Sparse Attention, 512 experts), so it gets its own display bucket.
+  'qwen3.8next': 'Qwen3.8-Flash-Next',
   'kimik2.5': 'Kimi-K2.5',
   'kimik2.6': 'Kimi-K2.5',
   'kimik2.7-code': 'Kimi-K2.5',
@@ -140,6 +143,13 @@ export const MODEL_RELEASE_DATES: Record<string, string> = {
   // Qwen/Qwen3.5-397B-A17B on 2026-02-16 — the same day InferenceX first swept
   // it. sweep: 2026-02-16 — day zero.
   'Qwen-3.5-397B-A17B': '2026-02-16',
+  // Qwen announced the open-sourcing of Qwen3.8-Flash-Next and its FP8 sibling
+  // for 23:00 Beijing time on 2026-08-26, which is also the day the SGLang
+  // bring-up image tag was published. Some coverage puts the Hugging Face repo
+  // live on 08-24; the announced date is the one used here, and either way it
+  // precedes the first sweep on 08-27. The model card itself states no date.
+  // sweep: 2026-08-27 — day zero.
+  'Qwen3.8-Flash-Next': '2026-08-26',
   // Bucket covers M2.5 and M2.7, so the date is M2.5's: announced 2026-02-12
   // with weights on Hugging Face, architecturally unchanged from M2 (230B/10B).
   // Was 2025-10-25, which is M2's launch, not M2.5's — `model-architectures.ts`

packages/db/src/etl/normalizers.ts

@@ -94,6 +94,14 @@ export const MODEL_TO_KEY: Record<string, string> = {
   // Qwen3.5
   'Qwen/Qwen3.5-397B-A17B': 'qwen3.5',
   'Qwen/Qwen3.5-397B-A17B-FP8': 'qwen3.5',
+  // Qwen3.8-Flash-Next (Qwen4 architecture preview — distinct bucket from 3.5).
+  // Hopper has no NVFP4 path, so H200 serves the FP8 checkpoint while Blackwell
+  // serves NVFP4. Both paths are taken from executed sweeps rather than inferred:
+  // FP8 from run 33038487711 (H200, PR #2753), NVFP4 from run 33039186365
+  // (B300, PR #2752). Both report `infmax_model_prefix: qwen3.8next`, so no
+  // PREFIX_ALIASES entry is needed.
+  'Qwen/Qwen3.8-Flash-Next-FP8': 'qwen3.8next',
+  'RadixArk/Qwen3.8-Flash-Next-NVFP4': 'qwen3.8next',
   // Kimi-K2.5 / K2.6 / K2.7-Code (same architecture, distinct DB buckets)
   'moonshotai/Kimi-K2.5': 'kimik2.5',
   'moonshotai/Kimi-K2.6': 'kimik2.6',