xAI

Grok Code Fast 1

xai/grok-code-fast-1
/v1/chat/completions/v1/messages/v1/responses/v1beta/models/*/v1/models/*

Grok Code Fast 1是xAI的首款编程模型,是一款兼具速度、高性价比的推理模型。

Input / output modalities
文本 to 文本
Reference input / output price
Input¥1.4Output¥10.5per 1M tokens
Context window
256K
Added to catalog
Sep 8, 2025

Providers and pricing

ProviderInput /MOutput /MCached /MContextMax outputDetails
OpenRouter¥1.4¥10.5¥0.14256K10K

OpenRouter

Latency
0.77s
Throughput
536 tokens/s
Context
256K

Pricing

Input
¥1.4/M tokens
Output
¥10.5/M tokens
Cached
¥0.14/M tokens

Specifications

Context
256K
Max output
10K
Supported APIs
/v1/chat/completions/v1/messages/v1/responses/v1beta/models/*/v1/models/*

Grok Code Fast 1 code examples and API guide

Modelmesh normalizes requests and responses across service providers behind one consistent API.

Modelmesh provides an OpenAI-compatible Completion API for more than 300 models and service providers. Call it directly, through the OpenAI SDK, or with supported third-party SDKs.

Modelmesh-specific request headers in these examples are optional. When supplied, your application can appear on the Modelmesh rankings.

Supported endpointsSelect an endpoint to switch the example below.
/v1/chat/completions
from openai import OpenAI API_KEY = "$SSY_API_KEY" client = OpenAI( base_url="https://router.shengsuanyun.com/api/v1", api_key=API_KEY, ) try: completion = client.chat.completions.create( model="xai/grok-code-fast-1", messages=[{"role": "user", "content": "Which number is larger, 9.11 or 9.8?"}], temperature=0.6, top_p=0.7, stream=True, ) response_text = "" for chunk in completion: if chunk.choices and chunk.choices[0].delta.content is not None: content = chunk.choices[0].delta.content print(content, end="", flush=True) response_text += content except Exception as error: print(f"Request failed: {error}")
                
              

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