Grok 4.7 - AnyFast

Grok 4.7 is available through AnyFast at POST /v1/responses and POST /v1/chat/completions. Use model ID grok-4.7. The Responses API is the primary interface for reasoning, function calls, structured output, and image input.

The upstream xAI specification lists a 500,000-token context window, text and image input, and text output.

When to use Grok 4.7

Long-running coding and agentic tasks
Multi-step knowledge work and complex analysis
Visual understanding with text and image inputs
Function calling or schema-constrained JSON output

Quick example

Responses API
Chat Completions

curl https://www.anyfast.ai/v1/responses \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "grok-4.7",
    "input": "Review this function for correctness: function median(a){a.sort();return a[a.length/2]}",
    "reasoning": {"effort": "high"},
    "max_output_tokens": 1024
  }'

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://www.anyfast.ai/v1",
)

response = client.responses.create(
    model="grok-4.7",
    input="Review this function for correctness: function median(a){a.sort();return a[a.length/2]}",
    reasoning={"effort": "high"},
    max_output_tokens=1024,
)

print(response.output_text)

curl https://www.anyfast.ai/v1/chat/completions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "grok-4.7",
    "messages": [{"role": "user", "content": "Explain why binary search is O(log n)."}],
    "reasoning_effort": "low",
    "max_tokens": 1024
  }'

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://www.anyfast.ai/v1",
)

response = client.chat.completions.create(
    model="grok-4.7",
    messages=[{"role": "user", "content": "Explain why binary search is O(log n)."}],
    reasoning_effort="low",
    max_tokens=1024,
)

print(response.choices[0].message.content)

Image input

Send image URLs through the Responses API multimodal message format:

{
  "model": "grok-4.7",
  "input": [{
    "role": "user",
    "content": [
      {"type": "input_image", "image_url": "https://science.nasa.gov/wp-content/uploads/2023/09/web-first-images-release.png", "detail": "low"},
      {"type": "input_text", "text": "Describe this image in one short sentence."}
    ]
  }],
  "store": false
}

Reasoning behavior

Set reasoning.effort on Responses or reasoning_effort on Chat Completions:

Value	Behavior
`low`	Lower latency for simpler tasks
`medium`	Balanced reasoning
`high`	Default; deeper reasoning for difficult tasks
`xhigh`	Maximum reasoning depth and latency

Reasoning cannot be disabled. Setting reasoning: {"effort": "none"} returns 400.

Core request fields

Parameter	Type	Required	Description
`model`	string	Yes	Must be `grok-4.7` on both endpoints
`input` / `messages`	string / array	Yes	Responses uses `input`; Chat Completions uses `messages`
`reasoning.effort` / `reasoning_effort`	string	No	`low`, `medium`, `high`, or `xhigh`; default `high`
`max_output_tokens` / `max_tokens`	integer	No	Responses / Chat Completions output-token budget
`tools` and `tool_choice`	array / string	No	Define functions and control when to call them
`text.format`	object	No	Set `type: "json_schema"` for strict JSON Schema output on Responses
`stream`	boolean	No	Return Responses API SSE events when `true`

Response and streaming

For non-streaming requests, read the final answer from output[].content[].text on Responses or choices[0].message.content on Chat Completions. For Responses streaming, concatenate the text from response.output_text.delta events. The reasoning-token count is available in usage.output_tokens_details.reasoning_tokens on Responses and usage.completion_tokens_details.reasoning_tokens on Chat Completions. For multi-turn Responses conversations, pass the reasoning item containing encrypted_content back unchanged.

API Reference

View the Grok 4.7 request and response schema.

​When to use Grok 4.7

​Quick example

​Image input

​Reasoning behavior

​Core request fields

​Response and streaming

API Reference

​Official references

When to use Grok 4.7

Quick example

Image input

Reasoning behavior

Core request fields

Response and streaming

Official references