Grok 4.6
Text Generation • xAI
xai/grok-4.6
- Third-party
- Zero data retention
xAI's Grok 4.6, a flagship reasoning model for coding, agentic tasks, and visual work. Accepts text and image inputs, and supports function calling and structured outputs.
| Model Info | |
|---|---|
| Context Window ↗ | 500,000 tokens |
| Terms and License | link ↗ |
| More information | link ↗ |
| Zero data retention | Yes |
| Request formats | Chat Completions |
| Pricing | <ul><li>Input <200k (per 1M)$2.00</li><li>Cached input <200k (per 1M)$0.50</li><li>Output <200k (per 1M)$6.00</li><li>Input >=200k (per 1M)$4.00</li><li>Cached input >=200k (per 1M)$1.00</li><li>Output >=200k (per 1M)$12.00</li></ul> |
Usage
const response = await env.AI.run(
'xai/grok-4.6',
{ messages: [{ content: 'What are the three laws of thermodynamics?', role: 'user' }] },
)
console.log(response)
curl https://api.cloudflare.com/client/v4/accounts/$CLOUDFLARE_ACCOUNT_ID/ai/v1/chat/completions \
--header "Authorization: Bearer $CLOUDFLARE_API_TOKEN" \
--header "Content-Type: application/json" \
--data '{
"model": "xai/grok-4.6",
"messages": [
{
"content": "What are the three laws of thermodynamics?",
"role": "user"
}
]
}'
**First law (conservation of energy):** The internal energy of an isolated system is constant; energy can change form (e.g., heat \(\leftrightarrow\) work) but is neither created nor destroyed. In equation form, \(\Delta U = Q - W\) (sign conventions vary).
**Second law (entropy/directionality):** The entropy of an isolated system never decreases; spontaneous processes increase total entropy. Equivalently, heat cannot spontaneously flow from a colder body to a hotter one, and no cyclic process can convert heat entirely into work with 100% efficiency (Kelvin–Planck and Clausius statements).
**Third law (unattainability of absolute zero):** As temperature approaches 0 K, the entropy of a perfect crystal approaches a minimum (conventionally taken as zero). Absolute zero is therefore unattainable in a finite number of steps.
(The zeroth law, which underpins the definition of temperature via thermal equilibrium, is sometimes listed separately and was formalized later.)
These statements have multiple equivalent formulations; the versions above are the most common in introductory physics/chemistry.
{
"id": "46e7d84b-3292-9934-9830-10a2926ac872",
"object": "chat.completion",
"created": 1786550938,
"model": "grok-4.6",
"choices": [
{
"index": 0,
"message": {
"role": "assistant",
"content": "**First law (conservation of energy):** The internal energy of an isolated system is constant; energy can change form (e.g., heat \\(\\leftrightarrow\\) work) but is neither created nor destroyed. In equation form, \\(\\Delta U = Q - W\\) (sign conventions vary).\n\n**Second law (entropy/directionality):** The entropy of an isolated system never decreases; spontaneous processes increase total entropy. Equivalently, heat cannot spontaneously flow from a colder body to a hotter one, and no cyclic process can convert heat entirely into work with 100% efficiency (Kelvin–Planck and Clausius statements).\n\n**Third law (unattainability of absolute zero):** As temperature approaches 0 K, the entropy of a perfect crystal approaches a minimum (conventionally taken as zero). Absolute zero is therefore unattainable in a finite number of steps.\n\n(The zeroth law, which underpins the definition of temperature via thermal equilibrium, is sometimes listed separately and was formalized later.)\n\nThese statements have multiple equivalent formulations; the versions above are the most common in introductory physics/chemistry.",
"reasoning_content": "The question is: \"What are the three laws of thermodynamics?\"\nThe three laws of thermodynamics are:\n\n1. **First Law**: Energy is conserved. It cannot be created or destroyed, only converted between forms. The change in internal energy of a system equals the heat added to it minus the work done by it: ΔU = Q - W.\n\n2.",
"refusal": null
},
"finish_reason": "stop"
}
],
"usage": {
"prompt_tokens": 214,
"completion_tokens": 220,
"total_tokens": 870,
"prompt_tokens_details": {
"text_tokens": 214,
"audio_tokens": 0,
"image_tokens": 0,
"cached_tokens": 128
},
"completion_tokens_details": {
"reasoning_tokens": 436,
"audio_tokens": 0,
"accepted_prediction_tokens": 0,
"rejected_prediction_tokens": 0
},
"num_sources_used": 0,
"cost_in_usd_ticks": 41720000
},
"system_fingerprint": "fp_a7b4933f4a93564d",
"service_tier": "default"
}
Examples
<details>
<summary>Image Understanding — Analyze an image supplied alongside a text prompt</summary>
const response = await env.AI.run(
'xai/grok-4.6',
{
messages: [
{
content: [
{
image_url: { url: 'https://v3.fal.media/files/koala/NLVPfOI4XL1cWT2PmmqT3_Hope.png' },
type: 'image_url',
},
{
text: 'Describe the person in this image and their surroundings in one sentence.',
type: 'text',
},
],
role: 'user',
},
],
},
)
console.log(response)
curl https://api.cloudflare.com/client/v4/accounts/$CLOUDFLARE_ACCOUNT_ID/ai/v1/chat/completions \
--header "Authorization: Bearer $CLOUDFLARE_API_TOKEN" \
--header "Content-Type: application/json" \
--data '{
"model": "xai/grok-4.6",
"messages": [
{
"content": [
{
"image_url": {
"url": "https://v3.fal.media/files/koala/NLVPfOI4XL1cWT2PmmqT3_Hope.png"
},
"type": "image_url"
},
{
"text": "Describe the person in this image and their surroundings in one sentence.",
"type": "text"
}
],
"role": "user"
}
]
}'
A smiling young woman with dark hair in a navy knit sweater holds a fuzzy microphone while seated in a cozy room with a white fireplace mantel, framed photo collage, and warm lighting.
{
"id": "5f620cf3-cd07-9a84-99d8-00f6f8712f95",
"object": "chat.completion",
"created": 1786550950,
"model": "grok-4.6",
"choices": [
{
"index": 0,
"message": {
"role": "assistant",
"content": "A smiling young woman with dark hair in a navy knit sweater holds a fuzzy microphone while seated in a cozy room with a white fireplace mantel, framed photo collage, and warm lighting.",
"reasoning_content": "The task is: \"Describe the person in this image and their surroundings in one sentence.\"\n",
"refusal": null
},
"finish_reason": "stop"
}
],
"usage": {
"prompt_tokens": 2628,
"completion_tokens": 36,
"total_tokens": 2925,
"prompt_tokens_details": {
"text_tokens": 221,
"audio_tokens": 0,
"image_tokens": 2407,
"cached_tokens": 128
},
"completion_tokens_details": {
"reasoning_tokens": 261,
"audio_tokens": 0,
"accepted_prediction_tokens": 0,
"rejected_prediction_tokens": 0
},
"num_sources_used": 0,
"cost_in_usd_ticks": 68460000
},
"system_fingerprint": "fp_a7b4933f4a93564d",
"service_tier": "default"
}
</details>
<details>
<summary>Function Calling — Force the model to return a typed function call</summary>
const response = await env.AI.run(
'xai/grok-4.6',
{
messages: [{ content: 'What is the current temperature in San Francisco?', role: 'user' }],
tool_choice: 'required',
tools: [
{
function: {
description: 'Get the current temperature for a city',
name: 'get_temperature',
parameters: {
additionalProperties: false,
properties: {
city: { type: 'string' },
unit: { enum: ['celsius', 'fahrenheit'], type: 'string' },
},
required: ['city', 'unit'],
type: 'object',
},
strict: true,
},
type: 'function',
},
],
},
)
console.log(response)
curl https://api.cloudflare.com/client/v4/accounts/$CLOUDFLARE_ACCOUNT_ID/ai/v1/chat/completions \
--header "Authorization: Bearer $CLOUDFLARE_API_TOKEN" \
--header "Content-Type: application/json" \
--data '{
"model": "xai/grok-4.6",
"messages": [
{
"content": "What is the current temperature in San Francisco?",
"role": "user"
}
],
"tool_choice": "required",
"tools": [
{
"function": {
"description": "Get the current temperature for a city",
"name": "get_temperature",
"parameters": {
"additionalProperties": false,
"properties": {
"city": {
"type": "string"
},
"unit": {
"enum": [
"celsius",
"fahrenheit"
],
"type": "string"
}
},
"required": [
"city",
"unit"
],
"type": "object"
},
"strict": true
},
"type": "function"
}
]
}'
{
"id": "d1c2cf6d-a4c2-9b8b-a6e3-ff60e4dd12b8",
"object": "chat.completion",
"created": 1786550955,
"model": "grok-4.6",
"choices": [
{
"index": 0,
"message": {
"role": "assistant",
"content": "",
"reasoning_content": "The user is asking for the current temperature in San Francisco. I have a tool called \"get_temperature\" that can get the current temperature for a city. It requires \"city\" and \"unit\".\n",
"tool_calls": [
{
"id": "call-67aeb658-cc74-4375-b860-f18970d8187a-0",
"function": {
"name": "get_temperature",
"arguments": "{\"city\":\"San Francisco\",\"unit\":\"fahrenheit\"}"
},
"type": "function"
}
],
"refusal": null
},
"finish_reason": "tool_calls"
}
],
"usage": {
"prompt_tokens": 333,
"completion_tokens": 20,
"total_tokens": 654,
"prompt_tokens_details": {
"text_tokens": 333,
"audio_tokens": 0,
"image_tokens": 0,
"cached_tokens": 128
},
"completion_tokens_details": {
"reasoning_tokens": 301,
"audio_tokens": 0,
"accepted_prediction_tokens": 0,
"rejected_prediction_tokens": 0
},
"num_sources_used": 0,
"cost_in_usd_ticks": 24000000
},
"system_fingerprint": "fp_a7b4933f4a93564d",
"service_tier": "default"
}
</details>
<details>
<summary>Structured Output — Constrain the response to a JSON schema</summary>
const response = await env.AI.run(
'xai/grok-4.6',
{
messages: [
{
content: 'Classify the sentiment of: The launch was smooth and customers loved it.',
role: 'user',
},
],
response_format: {
json_schema: {
name: 'sentiment_result',
schema: {
additionalProperties: false,
properties: {
confidence: { maximum: 1, minimum: 0, type: 'number' },
sentiment: { enum: ['positive', 'neutral', 'negative'], type: 'string' },
},
required: ['sentiment', 'confidence'],
type: 'object',
},
strict: true,
},
type: 'json_schema',
},
},
)
console.log(response)
curl https://api.cloudflare.com/client/v4/accounts/$CLOUDFLARE_ACCOUNT_ID/ai/v1/chat/completions \
--header "Authorization: Bearer $CLOUDFLARE_API_TOKEN" \
--header "Content-Type: application/json" \
--data '{
"model": "xai/grok-4.6",
"messages": [
{
"content": "Classify the sentiment of: The launch was smooth and customers loved it.",
"role": "user"
}
],
"response_format": {
"json_schema": {
"name": "sentiment_result",
"schema": {
"additionalProperties": false,
"properties": {
"confidence": {
"maximum": 1,
"minimum": 0,
"type": "number"
},
"sentiment": {
"enum": [
"positive",
"neutral",
"negative"
],
"type": "string"
}
},
"required": [
"sentiment",
"confidence"
],
"type": "object"
},
"strict": true
},
"type": "json_schema"
}
}'
{"confidence":0.95,"sentiment":"positive"}
{
"id": "e89a3a47-b193-9785-9c35-f4dd3c098107",
"object": "chat.completion",
"created": 1786550957,
"model": "grok-4.6",
"choices": [
{
"index": 0,
"message": {
"role": "assistant",
"content": "{\"confidence\":0.95,\"sentiment\":\"positive\"}",
"reasoning_content": "The task is to classify the sentiment of: \"The launch was smooth and customers loved it.\"\n",
"refusal": null
},
"finish_reason": "stop"
}
],
"usage": {
"prompt_tokens": 300,
"completion_tokens": 12,
"total_tokens": 607,
"prompt_tokens_details": {
"text_tokens": 300,
"audio_tokens": 0,
"image_tokens": 0,
"cached_tokens": 128
},
"completion_tokens_details": {
"reasoning_tokens": 295,
"audio_tokens": 0,
"accepted_prediction_tokens": 0,
"rejected_prediction_tokens": 0
},
"num_sources_used": 0,
"cost_in_usd_ticks": 22500000
},
"system_fingerprint": "fp_a7b4933f4a93564d",
"service_tier": "default"
}
</details>
Parameters
▶messages[]
arrayrequiredminItems: 1maxItems: 500
max_completion_tokens
integer | null
max_tokens
integer | null
n
integer | null
parallel_tool_calls
boolean
prompt_cache_key
string
reasoning_effort
string | nullenum: low, medium, high
▶response_format
one of
▶search_parameters{}
object
seed
integer | null
service_tier
stringenum: default, priority
stream
boolean
▶stream_options{}
object
temperature
number | null
▶tool_choice
one of
tools
array | null
top_p
number | null
user
string
▶web_search_options{}
object
id
string
object
stringconst: chat.completion
created
number
model
string
▶choices[]
array
citations
array | null
output_files
array | null
service_tier
stringenum: default, priority
system_fingerprint
string
▶usage{}
object
API Schemas (Raw)
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description: xAI's Grok 4.7, a frontier reasoning model for coding, agentic tasks, and knowledge work. Accepts text and image inputs, and supports function calling, structured outputs, and configurable reasoning effort (low, medium, high, xhigh). title: Grok 4.7 image: https://developers.cloudflare.com/og-docs.png
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