diff --git a/src/content/docs-es/models.mdx b/src/content/docs-es/models.mdx
index 27e615f..28ece00 100644
--- a/src/content/docs-es/models.mdx
+++ b/src/content/docs-es/models.mdx
@@ -455,6 +455,47 @@ const chat = await client.chat.completions.create({
 });
 ```
 
+### Limitar el razonamiento con un presupuesto de tokens.
+
+En `qwen3.6`, `gemma4` y `qwen3.8-flash` también puedes limitar la fase de
+razonamiento a un número de tokens, en Chat Completions. Envía
+`thinking_token_budget` o `thinking_budget`: son dos nombres del mismo
+parámetro, así que usa el que ya envíe tu código. Cada modelo
+recibe el nombre que entiende. Ponlo en el primer nivel del cuerpo o dentro de
+`extra_body`.
+
+- Un entero de `1` a `32768` limita el razonamiento a ese número de tokens. Es
+  un tope estricto: el modelo deja de razonar ahí y escribe su respuesta.
+- `0` apaga el razonamiento, igual que `reasoning_effort: "none"`.
+- En NaN, un valor mayor (o que no sea un entero) se reduce a `32768`.
+
+Envía un presupuesto o `reasoning_effort`, no los dos: combinados, el
+resultado depende del modelo. En el resto de modelos el presupuesto no forma
+parte de este contrato (según el modelo se rechaza con un `400` o se ignora);
+usa `reasoning_effort`. En Responses el presupuesto no está garantizado; usa
+`reasoning: {"effort": ...}`.
+
+```bash
+curl https://api.nan.builders/v1/chat/completions \
+  -H "Authorization: Bearer $NAN_API_KEY" \
+  -H "Content-Type: application/json" \
+  -d '{
+    "model": "qwen3.8-flash",
+    "thinking_budget": 2048,
+    "messages": [{"role": "user", "content": "How many primes are there below 200?"}]
+  }'
+```
+
+Con el SDK de OpenAI va por `extra_body`:
+
+```python
+chat = client.chat.completions.create(
+    model="qwen3.8-flash",
+    extra_body={"thinking_budget": 2048},
+    messages=[{"role": "user", "content": "How many primes are there below 200?"}],
+)
+```
+
 ## Respuestas largas: usa streaming.
 
 Una petición sin `stream: true` no devuelve nada hasta que la respuesta
diff --git a/src/content/docs/models.mdx b/src/content/docs/models.mdx
index eebc628..693cc09 100644
--- a/src/content/docs/models.mdx
+++ b/src/content/docs/models.mdx
@@ -452,6 +452,47 @@ const chat = await client.chat.completions.create({
 });
 ```
 
+### Capping reasoning with a token budget.
+
+On `qwen3.6`, `gemma4` and `qwen3.8-flash` you can also cap the reasoning
+phase at a number of tokens, on Chat Completions. Send
+`thinking_token_budget` or `thinking_budget`: they are two names for the same
+parameter, so use whichever your code already sends. Each model
+receives the name it reads. Put it at the top level of the body or inside
+`extra_body`.
+
+- An integer from `1` to `32768` caps reasoning at that many tokens. It is a
+  hard cap: the model stops reasoning there and writes its answer.
+- `0` turns reasoning off, like `reasoning_effort: "none"`.
+- On NaN, a larger value (or one that is not an integer) is lowered to `32768`.
+
+Send either a budget or `reasoning_effort`, not both: combined, the result
+differs by model. On the other models a budget is not part of this contract
+(depending on the model it is rejected with a `400` or ignored); use
+`reasoning_effort` there. On Responses the budget is not guaranteed to apply;
+use `reasoning: {"effort": ...}` there.
+
+```bash
+curl https://api.nan.builders/v1/chat/completions \
+  -H "Authorization: Bearer $NAN_API_KEY" \
+  -H "Content-Type: application/json" \
+  -d '{
+    "model": "qwen3.8-flash",
+    "thinking_budget": 2048,
+    "messages": [{"role": "user", "content": "How many primes are there below 200?"}]
+  }'
+```
+
+With the OpenAI SDK it goes through `extra_body`:
+
+```python
+chat = client.chat.completions.create(
+    model="qwen3.8-flash",
+    extra_body={"thinking_budget": 2048},
+    messages=[{"role": "user", "content": "How many primes are there below 200?"}],
+)
+```
+
 ## Long outputs: stream them.
 
 A request without `stream: true` returns nothing until the whole answer is ready, and it has to be ready within **120 seconds**. Past that, the connection is closed with a `524` (or an error a few seconds earlier), whatever the model. At `deepseek-v4-flash` speeds that is roughly 10,000 to 15,000 output tokens; slower models, and reasoning models that think before they answer, fit less.
diff --git a/src/tests/lib/docsReasoning.test.ts b/src/tests/lib/docsReasoning.test.ts
index b53adc2..b9fbd4a 100644
--- a/src/tests/lib/docsReasoning.test.ts
+++ b/src/tests/lib/docsReasoning.test.ts
@@ -211,6 +211,32 @@ describe('models page: the per-model table is the contract (en + es)', () => {
   }
 });
 
+describe('models page: the reasoning token budget (en + es)', () => {
+  // Measured live 2026-10-19 (nan-devops#895): both names reach every model
+  // under the name it reads; 64 caps reasoning on qwen3.6, gemma4 and
+  // qwen3.8-flash, 0 turns it off, NaN lowers anything above 32768.
+  for (const locale of ['', '-es'] as const) {
+    const text = section(locale);
+    it(`${locale || 'en'}: names both parameters, the three models, the range and the off value`, () => {
+      expect(text).toContain('`thinking_token_budget`');
+      expect(text).toContain('`thinking_budget`');
+      for (const model of ['`qwen3.6`', '`gemma4`', '`qwen3.8-flash`']) expect(text).toContain(model);
+      expect(text).toContain('`32768`');
+      expect(text).toMatch(locale === '' ? /`0` turns reasoning off/ : /`0` apaga el razonamiento/);
+    });
+
+    it(`${locale || 'en'}: says not to combine it with reasoning_effort, and what the other models do`, () => {
+      expect(text).toMatch(locale === '' ? /not both/ : /no los dos/);
+      expect(text).toMatch(locale === '' ? /a budget is not part of this contract/ : /el presupuesto no forma\s+parte de este contrato/);
+    });
+
+    it(`${locale || 'en'}: shows it top level and through extra_body`, () => {
+      expect(text).toContain('"thinking_budget": 2048');
+      expect(text).toContain('extra_body={"thinking_budget": 2048}');
+    });
+  }
+});
+
 describe('model cards agree with the table (en + es)', () => {
   for (const locale of ['', '-es'] as const) {
     it(`${locale || 'en'}: every chat card says how reasoning is controlled`, () => {