diff --git a/.github/workflows/sync-models.yml b/.github/workflows/sync-models.yml
index 7edd032424..ebb4f04304 100644
--- a/.github/workflows/sync-models.yml
+++ b/.github/workflows/sync-models.yml
@@ -90,6 +90,7 @@ jobs:
           XAI_API_KEY: ${{ secrets.XAI_API_KEY }}
           CLOUDFLARE_WORKERS_AI_SYNC_ACCOUNT_ID: ${{ secrets.CLOUDFLARE_WORKERS_AI_SYNC_ACCOUNT_ID }}
           CLOUDFLARE_WORKERS_AI_SYNC_API_TOKEN: ${{ secrets.CLOUDFLARE_WORKERS_AI_SYNC_API_TOKEN }}
+          TENSORX_API_KEY: ${{ secrets.TENSORX_API_KEY }}
 
       - name: Validate models
         run: bun validate
diff --git a/packages/core/src/sync/index.ts b/packages/core/src/sync/index.ts
index a3fa90270f..69069ae457 100644
--- a/packages/core/src/sync/index.ts
+++ b/packages/core/src/sync/index.ts
@@ -27,6 +27,7 @@ import { openrouter } from "./providers/openrouter.js";
 import { ovhcloud } from "./providers/ovhcloud.js";
 import { pioneer } from "./providers/pioneer.js";
 import { requesty } from "./providers/requesty.js";
+import { tensorx } from "./providers/tensorx.js";
 import { tinfoil } from "./providers/tinfoil.js";
 import { vercel } from "./providers/vercel.js";
 import { venice } from "./providers/venice.js";
@@ -133,6 +134,7 @@ export const providers: {
   ovhcloud: SyncProvider<any>;
   pioneer: SyncProvider<any>;
   requesty: SyncProvider<any>;
+  tensorx: SyncProvider<any>;
   tinfoil: SyncProvider<any>;
   vercel: SyncProvider<any>;
   venice: SyncProvider<any>;
@@ -161,6 +163,7 @@ export const providers: {
   ovhcloud,
   pioneer,
   requesty,
+  tensorx,
   tinfoil,
   vercel,
   venice,
@@ -183,7 +186,7 @@ export const groups = {
     "vercel",
   ],
   cloudflare: ["cloudflare-workers-ai"],
-  direct: ["ambient", "anthropic", "baseten", "chutes", "deepinfra", "digitalocean", "google", "hyper", "openai", "ovhcloud", "pioneer", "tinfoil", "venice", "wandb", "xai"],
+  direct: ["ambient", "anthropic", "baseten", "chutes", "deepinfra", "digitalocean", "google", "hyper", "openai", "ovhcloud", "pioneer", "tensorx", "tinfoil", "venice", "wandb", "xai"],
 } as const;
 
 type ProviderID = keyof typeof providers;
diff --git a/packages/core/src/sync/providers/tensorx.ts b/packages/core/src/sync/providers/tensorx.ts
new file mode 100644
index 0000000000..a8b71dcd0e
--- /dev/null
+++ b/packages/core/src/sync/providers/tensorx.ts
@@ -0,0 +1,208 @@
+import { z } from "zod";
+
+import type { ExistingModel, SyncProvider, SyncedFullModel, SyncedModel } from "../index.js";
+import { factorBaseModel, resolveCanonicalBaseModel } from "./openrouter.js";
+
+const API_ENDPOINT = "https://api.tensorx.ai/v1/model/info";
+
+// `supported_openai_params` is a static LiteLLM-style list: every catalog entry
+// advertises the same params, including `temperature` and `response_format` on
+// the Whisper and embedding models. It carries no per-model signal, so nothing
+// is derived from it — `temperature` and `structured_output` stay lab metadata.
+//
+// `supports_*` uses three values: true, false, and null for "not published".
+// Only real booleans are authored; null leaves the field to the base model.
+const TensorXModelInfo = z.object({
+  mode: z.string().nullish(),
+  max_input_tokens: z.number().int().nonnegative().nullish(),
+  max_output_tokens: z.number().int().nonnegative().nullish(),
+  max_tokens: z.number().int().nonnegative().nullish(),
+  supports_reasoning: z.boolean().nullish(),
+  supports_tool_choice: z.boolean().nullish(),
+  supports_function_calling: z.boolean().nullish(),
+  supports_vision: z.boolean().nullish(),
+  input_cost_per_token: z.number().nonnegative().nullish(),
+  output_cost_per_token: z.number().nonnegative().nullish(),
+  cache_read_input_token_cost: z.number().nonnegative().nullish(),
+  cache_creation_input_token_cost: z.number().nonnegative().nullish(),
+}).passthrough();
+
+export const TensorXModel = z.object({
+  model_name: z.string().min(1),
+  model_info: TensorXModelInfo,
+});
+
+export const TensorXResponse = z.object({
+  data: z.array(TensorXModel),
+});
+
+export type TensorXModel = z.infer<typeof TensorXModel>;
+
+export const tensorx = {
+  id: "tensorx",
+  name: "TensorX",
+  modelsDir: "providers/tensorx/models",
+  // /v1/model/info carries no reasoning controls and no side-channel field, so
+  // a created reasoner would be published with the runner's fallback
+  // `reasoning_options = []` — an assertion of "no caller control" that nothing
+  // here backs — and no `interleaved`. New IDs are reported for hand-authoring
+  // instead; updates to existing TOMLs are unaffected.
+  skipCreates: true,
+  preserveBaseModels: false,
+  // /v1/model/info returns a per-key view: a key scoped to a model group sees
+  // only that group, and chat requests for the rest fail with 403 rather than
+  // 404. Absence from the response is therefore not evidence that a model was
+  // retired, so local entries are never deleted on the strength of it.
+  deleteMissing: false,
+  sourceID(model) {
+    // Non-chat entries (embeddings, transcription, speech) are out of scope and
+    // are dropped silently; only unauthorable chat models get reported.
+    return model.model_info.mode === "chat" ? model.model_name : undefined;
+  },
+  skippedNotice(ids) {
+    if (ids.length === 0) return [];
+    return [
+      `${ids.length} TensorX chat models were not created: /v1/model/info publishes no name, description, or release date, and no reasoning controls or side-channel field, so a complete model cannot be authored safely.`,
+      `Add the lab entry under \`models/\` and hand-author \`reasoning_options\` / \`interleaved\` against the live API. Skipped remote IDs: ${ids.map((id) => `\`${id}\``).join(", ")}`,
+    ];
+  },
+  missingNotice(paths) {
+    if (paths.length === 0) return [];
+    return [
+      `${paths.length} local TensorX models were absent from /v1/model/info and were retained for manual lifecycle review.`,
+      `That endpoint is a per-key view, so absence can mean the sync key lacks access rather than the model being retired: ${paths.map((path) => `\`${path}\``).join(", ")}`,
+    ];
+  },
+  async fetchModels() {
+    const apiKey = process.env.TENSORX_API_KEY;
+    if (!apiKey) {
+      throw new Error("TensorX sync requires TENSORX_API_KEY environment variable");
+    }
+    const response = await fetch(API_ENDPOINT, {
+      headers: { Authorization: `Bearer ${apiKey}` },
+    });
+    if (!response.ok) {
+      throw new Error(`TensorX model info request failed: ${response.status} ${response.statusText}`);
+    }
+    return response.json();
+  },
+  parseModels(raw) {
+    const models = TensorXResponse.parse(raw).data;
+    const seen = new Set<string>();
+    return models.filter((model) => {
+      if (seen.has(model.model_name)) return false;
+      seen.add(model.model_name);
+      return true;
+    });
+  },
+  translateModel(model, context) {
+    if (model.model_info.mode !== "chat") return undefined;
+
+    const existing = context.existing(model.model_name);
+    // A base_model already authored locally wins over re-derivation. With
+    // preserveBaseModels false the runner will not put it back, so a resolution
+    // miss here (dropped alias, renamed lab entry, ID drift) would otherwise
+    // flatten the inherited lab fields into the provider TOML.
+    const baseModel = existing?.base_model ?? resolveBaseModel(model.model_name);
+    // Nothing in this catalog can stand in for lab metadata — no display name,
+    // no description, no release date — so an unknown model is reported for
+    // hand-authoring instead of being invented.
+    if (baseModel === undefined && existing === undefined) return undefined;
+
+    const built = buildTensorXModel(model, baseModel, existing);
+    return built === undefined ? undefined : { id: model.model_name, model: built };
+  },
+} satisfies SyncProvider<TensorXModel>;
+
+function buildTensorXModel(
+  model: TensorXModel,
+  baseModel: string | undefined,
+  existing: ExistingModel | undefined,
+): SyncedModel | undefined {
+  const info = model.model_info;
+
+  const limit = {
+    context: info.max_input_tokens ?? info.max_tokens ?? existing?.limit?.context,
+    output: info.max_output_tokens ?? existing?.limit?.output,
+  };
+
+  const input = perMillion(info.input_cost_per_token) ?? existing?.cost?.input;
+  const output = perMillion(info.output_cost_per_token) ?? existing?.cost?.output;
+  // Pricing is published only as a complete pair. A base_model file validates
+  // against a deepPartial schema, so a half-resolved cost would be written out
+  // as real pricing rather than rejected; a full model would abort the sync.
+  const cost = input === undefined || output === undefined
+    ? existing?.cost
+    : {
+      ...existing?.cost,
+      input,
+      output,
+      cache_read: perMillion(info.cache_read_input_token_cost) ?? existing?.cost?.cache_read,
+      // cache_creation_input_token_cost is null for every model in the catalog,
+      // so a null is "not published" rather than "not charged". Keep the
+      // authored price; real values publish as soon as TensorX fills it in.
+      cache_write: perMillion(info.cache_creation_input_token_cost) ?? existing?.cost?.cache_write,
+    };
+
+  // Never bring a brand-new model into the catalog without real pricing.
+  if (existing === undefined && cost === undefined) return undefined;
+
+  const toolFlags = [info.supports_tool_choice, info.supports_function_calling]
+    .filter((flag) => flag !== null && flag !== undefined);
+
+  // supports_vision is the only modality signal the catalog carries, so
+  // `attachment` and `modalities.input` move together. Only `image` is edited —
+  // the flag says nothing about video or pdf — and `attachment` is then read
+  // back off the resulting list rather than off the flag, so a model that keeps
+  // video after losing image stays `attachment = true`.
+  const vision = info.supports_vision;
+  const inheritedInput = existing?.modalities?.input;
+  const modalities = vision === null || vision === undefined || inheritedInput === undefined
+    ? existing?.modalities
+    : {
+      ...existing?.modalities,
+      input: vision
+        ? (inheritedInput.includes("image") ? inheritedInput : [...inheritedInput, "image"])
+        : inheritedInput.filter((modality) => modality !== "image"),
+    };
+  const resolvedInput = modalities?.input;
+  const attachment = vision === null || vision === undefined || resolvedInput === undefined
+    ? existing?.attachment
+    : resolvedInput.some((modality) => modality !== "text");
+
+  // `existing` is the base-model-resolved view, so factorBaseModel drops every
+  // field that still matches the lab entry and keeps only the real deltas.
+  const values: Record<string, unknown> = {
+    ...existing,
+    attachment,
+    reasoning: info.supports_reasoning ?? existing?.reasoning,
+    tool_call: toolFlags.length > 0 ? toolFlags.some(Boolean) : existing?.tool_call,
+    cost,
+    limit,
+    modalities,
+  };
+  delete values.base_model;
+  delete values.base_model_omit;
+
+  return baseModel === undefined
+    ? values as SyncedFullModel
+    : factorBaseModel(baseModel, values, limit, existing?.base_model_omit);
+}
+
+// Dated snapshots TensorX serves that have no lab entry of their own.
+const BASE_MODEL_ALIASES: Record<string, string | undefined> = {
+  "deepseek/deepseek-r1-0528": "deepseek/deepseek-r1",
+  "deepseek/deepseek-r1-0625": "deepseek/deepseek-r1",
+};
+
+function resolveBaseModel(modelID: string): string | undefined {
+  // resolveCanonicalBaseModel owns the org-prefix map and matches metadata
+  // filenames case-insensitively, so `minimax/minimax-m3` still resolves to
+  // `models/minimax/MiniMax-M3.toml`.
+  return resolveCanonicalBaseModel(BASE_MODEL_ALIASES[modelID] ?? modelID);
+}
+
+function perMillion(costPerToken: number | null | undefined): number | undefined {
+  if (costPerToken === null || costPerToken === undefined) return undefined;
+  return Math.round(costPerToken * 1_000_000 * 1e10) / 1e10;
+}
diff --git a/providers/tensorx/models/deepseek/deepseek-chat-v3.1.toml b/providers/tensorx/models/deepseek/deepseek-chat-v3.1.toml
index 93143b88c6..f75eace0bf 100644
--- a/providers/tensorx/models/deepseek/deepseek-chat-v3.1.toml
+++ b/providers/tensorx/models/deepseek/deepseek-chat-v3.1.toml
@@ -1,3 +1,10 @@
+# Not reachable with the sync key (403, models=['public']), so nothing here
+# could be measured against this host. providers/openrouter/models/deepseek/
+# deepseek-chat-v3.1.toml authors a toggle, so that control shape is copied
+# rather than keeping a full effort enum.
+# Toggle: chat_template_kwargs.thinking = true|false — the path every reachable
+# DeepSeek model on this host uses, but unverified for this ID.
+# [interleaved] is omitted rather than assumed, for the same reason.
 name = "DeepSeek Chat V3.1"
 description = "DeepSeek chat model for instruction following, coding, and analysis"
 family = "deepseek"
@@ -10,10 +17,8 @@ tool_call = true
 knowledge = "2024-11"
 open_weights = true
 
-
 [[reasoning_options]]
-type = "effort" # API: {"reasoning_effort": <value>}; "none" disables reasoning
-values = ["none", "minimal", "low", "medium", "high", "xhigh", "max"]
+type = "toggle"
 
 [cost]
 input = 0.2
diff --git a/providers/tensorx/models/deepseek/deepseek-r1-0528.toml b/providers/tensorx/models/deepseek/deepseek-r1-0528.toml
index 5584722dd5..2d2925531f 100644
--- a/providers/tensorx/models/deepseek/deepseek-r1-0528.toml
+++ b/providers/tensorx/models/deepseek/deepseek-r1-0528.toml
@@ -1,11 +1,14 @@
+# reasoning_effort is accepted but does not grade depth on this host, and none
+# is rejected (400), so reasoning is always on. Matches the OpenRouter entry for
+# this model.
 base_model = "deepseek/deepseek-r1"
 name = "DeepSeek R1-0528"
 release_date = "2025-05-28"
 last_updated = "2025-05-28"
+reasoning_options = []
 
-[[reasoning_options]]
-type = "effort" # API: {"reasoning_effort": <value>}; reasoning is mandatory, "none" is rejected
-values = ["minimal", "low", "medium", "high", "xhigh", "max"]
+[interleaved]
+field = "reasoning_content"
 
 [cost]
 input = 0.66
diff --git a/providers/tensorx/models/deepseek/deepseek-v3.2.toml b/providers/tensorx/models/deepseek/deepseek-v3.2.toml
index dc3a096e9e..874da8eb6c 100644
--- a/providers/tensorx/models/deepseek/deepseek-v3.2.toml
+++ b/providers/tensorx/models/deepseek/deepseek-v3.2.toml
@@ -1,3 +1,8 @@
+# Effort: reasoning_effort = none|high. This host does not reason by default —
+# reasoning_content is empty unless an effort value is sent — and none keeps it
+# off. chat_template_kwargs.enable_thinking and thinking are no-ops. Measured
+# by reasoning_content length; invalid values return 400 and no graded level
+# was separable, so one on level is published.
 name = "DeepSeek V3.2"
 description = "DeepSeek chat model for instruction following, coding, and analysis"
 family = "deepseek"
@@ -10,10 +15,12 @@ tool_call = true
 knowledge = "2025-05"
 open_weights = true
 
-
 [[reasoning_options]]
-type = "effort" # API: {"reasoning_effort": <value>}; "none" disables reasoning
-values = ["none", "minimal", "low", "medium", "high", "xhigh", "max"]
+type = "effort"
+values = ["none", "high"]
+
+[interleaved]
+field = "reasoning_content"
 
 [cost]
 input = 0.3
diff --git a/providers/tensorx/models/deepseek/deepseek-v4-flash-0731.toml b/providers/tensorx/models/deepseek/deepseek-v4-flash-0731.toml
index 5c7bc69ad3..c109b56717 100644
--- a/providers/tensorx/models/deepseek/deepseek-v4-flash-0731.toml
+++ b/providers/tensorx/models/deepseek/deepseek-v4-flash-0731.toml
@@ -1,12 +1,21 @@
+# Toggle: chat_template_kwargs.thinking = true|false (default off)
+# reasoning_effort is accepted but not honored. Measured by reasoning_content
+# length — not usage.reasoning_tokens, which this host under-reports — low,
+# high, max and an invalid value all fall in the same range, so this host is
+# toggle-only despite the lab exposing effort high|max.
 base_model = "deepseek/deepseek-v4-flash-0731"
 
 [[reasoning_options]]
-type = "toggle" # API: {"chat_template_kwargs": {"thinking": true}} (default off)
+type = "toggle"
+
+[interleaved]
+field = "reasoning_content"
 
 [cost]
 input = 0.25
-output = 0.30
-cache_read = 0.06
+output = 0.3
+cache_read = 0.0625
 
 [limit]
-context = 1048576
\ No newline at end of file
+context = 1_048_576
+output = 64_000
diff --git a/providers/tensorx/models/deepseek/deepseek-v4-flash.toml b/providers/tensorx/models/deepseek/deepseek-v4-flash.toml
index fdea8b9a03..08fa020600 100644
--- a/providers/tensorx/models/deepseek/deepseek-v4-flash.toml
+++ b/providers/tensorx/models/deepseek/deepseek-v4-flash.toml
@@ -1,7 +1,15 @@
+# Toggle: chat_template_kwargs.thinking = true|false (default off)
+# reasoning_effort is accepted but not honored. Measured by reasoning_content
+# length — not usage.reasoning_tokens, which this host under-reports — low,
+# high, max and an invalid value all fall in the same range, so this host is
+# toggle-only despite the lab exposing effort high|max.
 base_model = "deepseek/deepseek-v4-flash"
 
 [[reasoning_options]]
-type = "toggle" # API: {"chat_template_kwargs": {"thinking": true}} (default off)
+type = "toggle"
+
+[interleaved]
+field = "reasoning_content"
 
 [cost]
 input = 0.15
@@ -10,4 +18,5 @@ cache_read = 0.0375
 cache_write = 0.1875
 
 [limit]
-context = 1048576
+context = 1_048_576
+output = 64_000
diff --git a/providers/tensorx/models/deepseek/deepseek-v4-pro.toml b/providers/tensorx/models/deepseek/deepseek-v4-pro.toml
index ebe06937ea..fec75b2d13 100644
--- a/providers/tensorx/models/deepseek/deepseek-v4-pro.toml
+++ b/providers/tensorx/models/deepseek/deepseek-v4-pro.toml
@@ -1,7 +1,15 @@
+# Toggle: chat_template_kwargs.thinking = true|false (default off)
+# reasoning_effort is accepted but not honored. Measured by reasoning_content
+# length — not usage.reasoning_tokens, which this host under-reports — low,
+# high, max and an invalid value all fall in the same range, so this host is
+# toggle-only despite the lab exposing effort high|max.
 base_model = "deepseek/deepseek-v4-pro"
 
 [[reasoning_options]]
-type = "toggle" # API: {"chat_template_kwargs": {"thinking": true}} (default off)
+type = "toggle"
+
+[interleaved]
+field = "reasoning_content"
 
 [cost]
 input = 1.75
@@ -10,4 +18,5 @@ cache_read = 0.4375
 cache_write = 2.185
 
 [limit]
-context = 1048576
+context = 1_048_576
+output = 64_000
diff --git a/providers/tensorx/models/minimax/minimax-m2.5.toml b/providers/tensorx/models/minimax/minimax-m2.5.toml
index b9c42b9646..3fa9dbfe7f 100644
--- a/providers/tensorx/models/minimax/minimax-m2.5.toml
+++ b/providers/tensorx/models/minimax/minimax-m2.5.toml
@@ -1,8 +1,12 @@
+# No caller control. reasoning_effort = none is rejected (400), low/medium/
+# high/max overlap entirely over 4 runs each, and chat_template_kwargs
+# enable_thinking and thinking are both no-ops. Measured by reasoning_content
+# length. Reasoning is always on, matching the lab and OpenRouter entries.
 base_model = "minimax/MiniMax-M2.5"
+reasoning_options = []
 
-[[reasoning_options]]
-type = "effort" # API: {"reasoning_effort": <value>}; reasoning is mandatory, "none" is rejected
-values = ["minimal", "low", "medium", "high", "xhigh", "max"]
+[interleaved]
+field = "reasoning_content"
 
 [cost]
 input = 0.3
diff --git a/providers/tensorx/models/minimax/minimax-m3.toml b/providers/tensorx/models/minimax/minimax-m3.toml
index d9b2cb7dcb..48eff16652 100644
--- a/providers/tensorx/models/minimax/minimax-m3.toml
+++ b/providers/tensorx/models/minimax/minimax-m3.toml
@@ -1,7 +1,11 @@
+# Toggle: chat_template_kwargs.thinking_mode = enabled|disabled (default "adaptive")
 base_model = "minimax/MiniMax-M3"
 
 [[reasoning_options]]
-type = "toggle" # API: {"chat_template_kwargs": {"thinking_mode": "enabled" | "disabled"}} (default "adaptive")
+type = "toggle"
+
+[interleaved]
+field = "reasoning_content"
 
 [cost]
 input = 0.4
@@ -9,5 +13,5 @@ output = 2
 cache_read = 0.1
 
 [limit]
-context = 1048576
-output = 131072
+context = 1_048_576
+output = 64_000
diff --git a/providers/tensorx/models/moonshotai/kimi-k2.5.toml b/providers/tensorx/models/moonshotai/kimi-k2.5.toml
index 83821146bc..db3656d067 100644
--- a/providers/tensorx/models/moonshotai/kimi-k2.5.toml
+++ b/providers/tensorx/models/moonshotai/kimi-k2.5.toml
@@ -1,6 +1,13 @@
+# No caller control. Measured by reasoning_content length over 6 runs each,
+# chat_template_kwargs.thinking = false and reasoning_effort = none both leave
+# reasoning_content filled (0/6 empty). usage.reasoning_tokens is not the
+# signal here because this host under-reports it. Reasoning is always on.
 base_model = "moonshotai/kimi-k2.5"
 reasoning_options = []
 
+[interleaved]
+field = "reasoning_content"
+
 [cost]
 input = 0.5
 output = 2.8
diff --git a/providers/tensorx/models/moonshotai/kimi-k2.6.toml b/providers/tensorx/models/moonshotai/kimi-k2.6.toml
index 4490b5bfe1..3d926729dc 100644
--- a/providers/tensorx/models/moonshotai/kimi-k2.6.toml
+++ b/providers/tensorx/models/moonshotai/kimi-k2.6.toml
@@ -1,10 +1,20 @@
+# Toggle: chat_template_kwargs.thinking = true|false (default on); verified by
+# reasoning_content going empty when false.
+# reasoning_effort is accepted but not honored: none, low, high, max and an
+# invalid value all leave reasoning_content in the same range.
 base_model = "moonshotai/kimi-k2.6"
 
 [[reasoning_options]]
-type = "toggle" # API: {"chat_template_kwargs": {"thinking": false}} (default on)
+type = "toggle"
+
+[interleaved]
+field = "reasoning_content"
 
 [cost]
 input = 1
 output = 4
 cache_read = 0.25
 cache_write = 1.25
+
+[limit]
+output = 64_000
diff --git a/providers/tensorx/models/moonshotai/kimi-k2.7-code.toml b/providers/tensorx/models/moonshotai/kimi-k2.7-code.toml
index 77034868c0..e9088bbfec 100644
--- a/providers/tensorx/models/moonshotai/kimi-k2.7-code.toml
+++ b/providers/tensorx/models/moonshotai/kimi-k2.7-code.toml
@@ -1,9 +1,19 @@
+# Toggle: chat_template_kwargs.thinking = true|false (default on); verified by
+# reasoning_content going empty when false.
+# reasoning_effort is accepted but not honored: none, low, high, max and an
+# invalid value all leave reasoning_content in the same range.
 base_model = "moonshotai/kimi-k2.7-code"
 
 [[reasoning_options]]
-type = "toggle" # API: {"chat_template_kwargs": {"thinking": false}} (default on)
+type = "toggle"
+
+[interleaved]
+field = "reasoning_content"
 
 [cost]
 input = 1.25
 output = 4.5
 cache_read = 0.3125
+
+[limit]
+output = 64_000
diff --git a/providers/tensorx/models/moonshotai/kimi-k3.toml b/providers/tensorx/models/moonshotai/kimi-k3.toml
index c5f9a35187..4985c54953 100644
--- a/providers/tensorx/models/moonshotai/kimi-k3.toml
+++ b/providers/tensorx/models/moonshotai/kimi-k3.toml
@@ -1,10 +1,22 @@
 # AI SDK auto-discovers native IDs via /v1/models — field values map those IDs
+# Effort: reasoning_effort = none|low|high|max, measured by reasoning_content
+# length. none empties it in 9/9 runs and depth grows low < high < max;
+# invalid values return 400. chat_template_kwargs.thinking = false is
+# unreliable here (reasoning still streamed in 3/9 runs), so none is the
+# published off switch and no toggle is declared.
 base_model = "moonshotai/kimi-k3"
 
 [[reasoning_options]]
-type = "toggle" # API: {"chat_template_kwargs": {"thinking": false}} (default on)
+type = "effort"
+values = ["none", "low", "high", "max"]
+
+[interleaved]
+field = "reasoning_content"
 
 [cost]
-input = 3.00
-output = 15.00
-cache_read = 0.75
\ No newline at end of file
+input = 3
+output = 15
+cache_read = 0.75
+
+[limit]
+output = 64_000
diff --git a/providers/tensorx/models/nvidia/nemotron-3-super-120b-a12b.toml b/providers/tensorx/models/nvidia/nemotron-3-super-120b-a12b.toml
index 279eb86ea6..770b6699ed 100644
--- a/providers/tensorx/models/nvidia/nemotron-3-super-120b-a12b.toml
+++ b/providers/tensorx/models/nvidia/nemotron-3-super-120b-a12b.toml
@@ -1,8 +1,14 @@
+# Toggle: chat_template_kwargs.enable_thinking = true|false
+# Documented for this model by Workers AI, another OpenAI-compatible host:
+# https://developers.cloudflare.com/workers-ai/models/nemotron-3-120b-a12b/sync-input.json
+# It is also the field every GLM model on this host uses. Not reachable with the
+# sync key (403, models=['public']), so it could not be confirmed here; the
+# control shape follows first-party providers/nvidia/models/nvidia/
+# nemotron-3-super-120b-a12b.toml. [interleaved] is omitted rather than assumed.
 base_model = "nvidia/nemotron-3-super-120b-a12b"
 
 [[reasoning_options]]
-type = "effort" # API: {"reasoning_effort": <value>}; "none" disables reasoning
-values = ["none", "minimal", "low", "medium", "high", "xhigh", "max"]
+type = "toggle"
 
 [cost]
 input = 0.3
diff --git a/providers/tensorx/models/openai/gpt-oss-120b.toml b/providers/tensorx/models/openai/gpt-oss-120b.toml
index b34a24534e..dfcf2045ea 100644
--- a/providers/tensorx/models/openai/gpt-oss-120b.toml
+++ b/providers/tensorx/models/openai/gpt-oss-120b.toml
@@ -1,9 +1,14 @@
+# Not reachable with the sync key (403, models=['public']), so nothing below
+# could be measured against this host. Controls are carried from the lab/peer
+# baseline; [interleaved] is deliberately omitted rather than assumed, even
+# though all 18 reachable models here stream reasoning_content.
+# OpenRouter, the closest same-surface peer, exposes low|medium|high.
 base_model = "openai/gpt-oss-120b"
 knowledge = "2024-10"
 
 [[reasoning_options]]
-type = "effort" # API: {"reasoning_effort": <value>}; reasoning is mandatory, "none" is rejected
-values = ["minimal", "low", "medium", "high", "xhigh", "max"]
+type = "effort"
+values = ["low", "medium", "high"]
 
 [cost]
 input = 0.04
diff --git a/providers/tensorx/models/qwen/qwen3.5-122b-a10b.toml b/providers/tensorx/models/qwen/qwen3.5-122b-a10b.toml
index 063495e1fb..60fb5c6822 100644
--- a/providers/tensorx/models/qwen/qwen3.5-122b-a10b.toml
+++ b/providers/tensorx/models/qwen/qwen3.5-122b-a10b.toml
@@ -1,8 +1,16 @@
+# Effort: reasoning_effort = none|high. Off is the effort value none, not a
+# boolean field: chat_template_kwargs.enable_thinking and thinking are both
+# accepted but are no-ops here. Measured by reasoning_content length (this
+# host under-reports usage.reasoning_tokens); none empties it, invalid values
+# return 400, and no graded level was separable, so one on level is published.
 base_model = "alibaba/qwen3.5-122b-a10b"
 
 [[reasoning_options]]
-type = "effort" # API: {"reasoning_effort": <value>}; "none" disables reasoning
-values = ["none", "minimal", "low", "medium", "high", "xhigh", "max"]
+type = "effort"
+values = ["none", "high"]
+
+[interleaved]
+field = "reasoning_content"
 
 [cost]
 input = 0.5
diff --git a/providers/tensorx/models/qwen/qwen3.5-9b.toml b/providers/tensorx/models/qwen/qwen3.5-9b.toml
index 93d4f8b02f..0f6d4f879f 100644
--- a/providers/tensorx/models/qwen/qwen3.5-9b.toml
+++ b/providers/tensorx/models/qwen/qwen3.5-9b.toml
@@ -1,12 +1,22 @@
+# Effort: reasoning_effort = none|high. Off is the effort value none, not a
+# boolean field: chat_template_kwargs.enable_thinking and thinking are no-ops
+# here. Measured by reasoning_content length; none empties it, invalid values
+# return 400, and over 4 runs each low/medium/high/max overlap entirely
+# (means within 60 chars), so one on level is published.
 base_model = "alibaba/qwen3.5-9b"
 
-
 [[reasoning_options]]
-type = "effort" # API: {"reasoning_effort": <value>}; "none" disables reasoning
-values = ["none", "minimal", "low", "medium", "high", "xhigh", "max"]
+type = "effort"
+values = ["none", "high"]
+
+[interleaved]
+field = "reasoning_content"
 
 [cost]
 input = 0.15
 output = 0.2
 cache_read = 0.0375
 cache_write = 0.1875
+
+[limit]
+output = 262_144
diff --git a/providers/tensorx/models/z-ai/glm-4.7.toml b/providers/tensorx/models/z-ai/glm-4.7.toml
index 931c963e6a..e0fcce5b2a 100644
--- a/providers/tensorx/models/z-ai/glm-4.7.toml
+++ b/providers/tensorx/models/z-ai/glm-4.7.toml
@@ -1,8 +1,13 @@
+# Not reachable with the sync key (403, models=['public']), so nothing below
+# could be measured against this host. Controls are carried from the lab/peer
+# baseline; [interleaved] is deliberately omitted rather than assumed, even
+# though all 18 reachable models here stream reasoning_content.
+# First-party z.ai GLM-4.7 is toggle-only.
+# Toggle: chat_template_kwargs.enable_thinking = true|false
 base_model = "zhipuai/glm-4.7"
 
 [[reasoning_options]]
-type = "effort" # API: {"reasoning_effort": <value>}; "none" disables reasoning
-values = ["none", "minimal", "low", "medium", "high", "xhigh", "max"]
+type = "toggle"
 
 [cost]
 input = 0.6
diff --git a/providers/tensorx/models/z-ai/glm-5-turbo.toml b/providers/tensorx/models/z-ai/glm-5-turbo.toml
index 4e557e1c0c..9f444b466d 100644
--- a/providers/tensorx/models/z-ai/glm-5-turbo.toml
+++ b/providers/tensorx/models/z-ai/glm-5-turbo.toml
@@ -1,11 +1,16 @@
+# Toggle: chat_template_kwargs.enable_thinking = true|false (default on).
+# Verified: false empties reasoning_content, true and the default fill it.
+# This host streams reasoning into reasoning_content but does not count it in
+# usage.reasoning_tokens, which reads 0 even while reasoning runs — measure
+# the field, not the token count. reasoning_effort = none also suppresses it,
+# but no graded level was separable, so only on/off is published.
 base_model = "zhipuai/glm-5-turbo"
 
 [[reasoning_options]]
-type = "toggle" # API: {"chat_template_kwargs": {"enable_thinking": false}} (default on)
+type = "toggle"
 
-[[reasoning_options]]
-type = "effort" # API: {"reasoning_effort": <value>}; "none" disables reasoning
-values = ["none", "minimal", "low", "medium", "high", "xhigh", "max"]
+[interleaved]
+field = "reasoning_content"
 
 [cost]
 input = 1.2
diff --git a/providers/tensorx/models/z-ai/glm-5.1.toml b/providers/tensorx/models/z-ai/glm-5.1.toml
index 869157ad21..5378fc7c25 100644
--- a/providers/tensorx/models/z-ai/glm-5.1.toml
+++ b/providers/tensorx/models/z-ai/glm-5.1.toml
@@ -1,11 +1,13 @@
+# Toggle: chat_template_kwargs.enable_thinking = true|false (default on)
+# reasoning_effort is accepted but its graded levels were not separable here;
+# first-party z.ai exposes only the toggle, so that is the declared control.
 base_model = "zhipuai/glm-5.1"
 
 [[reasoning_options]]
-type = "toggle" # API: {"chat_template_kwargs": {"enable_thinking": false}} (default on)
+type = "toggle"
 
-[[reasoning_options]]
-type = "effort" # API: {"reasoning_effort": <value>}; "none" disables reasoning
-values = ["none", "minimal", "low", "medium", "high", "xhigh", "max"]
+[interleaved]
+field = "reasoning_content"
 
 [cost]
 input = 1.4
@@ -14,5 +16,5 @@ cache_read = 0.35
 cache_write = 1.75
 
 [limit]
-context = 202752
-output = 202752
+context = 202_752
+output = 64_000
diff --git a/providers/tensorx/models/z-ai/glm-5.2.toml b/providers/tensorx/models/z-ai/glm-5.2.toml
index 04350a241e..5bc8c2f958 100644
--- a/providers/tensorx/models/z-ai/glm-5.2.toml
+++ b/providers/tensorx/models/z-ai/glm-5.2.toml
@@ -1,11 +1,17 @@
+# Toggle: chat_template_kwargs.enable_thinking = true|false (default on)
+# Effort: reasoning_effort = high|max — z.ai maps none|minimal to off,
+# low|medium to high and xhigh to max, so high|max are the effective levels.
 base_model = "zhipuai/glm-5.2"
 
 [[reasoning_options]]
-type = "toggle" # API: {"chat_template_kwargs": {"enable_thinking": false}} (default on)
+type = "toggle"
 
 [[reasoning_options]]
-type = "effort" # API: {"reasoning_effort": <value>}; "none" disables reasoning
-values = ["none", "minimal", "low", "medium", "high", "xhigh", "max"]
+type = "effort"
+values = ["high", "max"]
+
+[interleaved]
+field = "reasoning_content"
 
 [cost]
 input = 1.5
@@ -13,4 +19,5 @@ output = 4.5
 cache_read = 0.375
 
 [limit]
-context = 1048576
+context = 1_048_576
+output = 64_000
diff --git a/providers/tensorx/models/z-ai/glm-5.toml b/providers/tensorx/models/z-ai/glm-5.toml
index 6d547a7361..0696922a62 100644
--- a/providers/tensorx/models/z-ai/glm-5.toml
+++ b/providers/tensorx/models/z-ai/glm-5.toml
@@ -1,8 +1,16 @@
+# Effort: reasoning_effort = none|high. Off is the effort value none, not a
+# boolean field: chat_template_kwargs.enable_thinking is accepted but is a no-op
+# on this host, so no toggle is declared. Verified by reasoning_content going
+# empty for none, not by usage.reasoning_tokens, which this host under-reports.
+# No graded level was separable from another, so one on level is published.
 base_model = "zhipuai/glm-5"
 
 [[reasoning_options]]
-type = "effort" # API: {"reasoning_effort": <value>}; "none" disables reasoning
-values = ["none", "minimal", "low", "medium", "high", "xhigh", "max"]
+type = "effort"
+values = ["none", "high"]
+
+[interleaved]
+field = "reasoning_content"
 
 [cost]
 input = 1
diff --git a/providers/tensorx/models/z-ai/glm-5v-turbo.toml b/providers/tensorx/models/z-ai/glm-5v-turbo.toml
index c16e5d0679..b884c3f19d 100644
--- a/providers/tensorx/models/z-ai/glm-5v-turbo.toml
+++ b/providers/tensorx/models/z-ai/glm-5v-turbo.toml
@@ -1,11 +1,16 @@
+# Toggle: chat_template_kwargs.enable_thinking = true|false (default on).
+# Verified: false empties reasoning_content, true and the default fill it.
+# This host streams reasoning into reasoning_content but does not count it in
+# usage.reasoning_tokens, which reads 0 even while reasoning runs — measure
+# the field, not the token count. reasoning_effort = none also suppresses it,
+# but no graded level was separable, so only on/off is published.
 base_model = "zhipuai/glm-5v-turbo"
 
 [[reasoning_options]]
-type = "toggle" # API: {"chat_template_kwargs": {"enable_thinking": false}} (default on)
+type = "toggle"
 
-[[reasoning_options]]
-type = "effort" # API: {"reasoning_effort": <value>}; "none" disables reasoning
-values = ["none", "minimal", "low", "medium", "high", "xhigh", "max"]
+[interleaved]
+field = "reasoning_content"
 
 [cost]
 input = 1.2