Grok 4.3 | xAI Multimodal LLM API Pricing

Name: Grok 4.3 API
Brand: x-ai
Price: 1.25 USD
Availability: InStock

API 使用

使用以下代码示例接入我们的 API：

from openai import OpenAI

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

response = client.chat.completions.create(
    model="x-ai/grok-4.3",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)

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

模型介绍

xAI: Grok 4.3

Grok 4.3 is a reasoning model from xAI. It accepts text and image inputs with text output, and is suited for agentic workflows, instruction-following tasks, and applications requiring high factual...

This model is imported from OpenRouter metadata and exposed through the WaveSpeed AI OpenAI-compatible API for chat completions and compatible application workflows.

Why It Looks Great

text+image->text architecture for Text, Image to Text workloads
1000000 context window for long prompts, document analysis, and multi-turn workflows
Competitive pricing at $1.25/$2.5 per million tokens
Vision input support for image understanding and multimodal tasks
Function calling and tool-use support for agentic application workflows
Structured output support for JSON responses and schema-constrained generation
Reasoning controls available through supported OpenRouter parameters

Key Features

Context Window: 1000000 tokens
Max Input: Not listed
Max Output: Not listed
Vision: Supported
Function Calling: Supported
Structured Outputs: Supported
Image Generation: Not listed
Audio Input: Not listed
Supported Parameters: frequency_penalty, include_reasoning, logprobs, max_tokens, presence_penalty, reasoning, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_logprobs, top_p

Specifications

Specification	Value
Provider	xai
Model Type	Chat Completions model
Architecture	text+image->text
Context Window	1000000 tokens
Max Input	Not listed
Max Output	Not listed
Input	Text, Image
Output	Text
Vision	Supported
Function Calling	Supported
Structured Outputs	Supported
OpenRouter Created	April 30, 2026

How to Use

Write your prompt - describe the task, provide context, and specify the desired output format.
Submit - the model processes your request and returns the response.

API Integration

Base URL: https://llm.wavespeed.ai/v1 API Endpoint: chat/completions Model ID: x-ai/grok-4.3

API Usage

Python SDK

from openai import OpenAI

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

response = client.chat.completions.create(
    model="x-ai/grok-4.3",
    messages=[{"role": "user", "content": "Hello!"}]
)

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

cURL

curl https://llm.wavespeed.ai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "x-ai/grok-4.3",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Grok 4.3 API

x-ai/grok-4.3

Grok 4.3 is xAI’s advanced reasoning model designed for agentic workflows, complex instruction-following, and high-accuracy knowledge tasks. It supports both text and image inputs, generating text outputs with configurable reasoning depth across none, low, medium, and high effort modes (default: low). The model features an industry-leading 1 million token context window with no fixed output token limit, enabling long-document analysis, deep research, multi-step reasoning, and large-scale autonomous agent applications. Pricing is usage-tiered, with higher rates applied to requests exceeding 200K total tokens.

关于 Grok 4.3 的常见问题

Grok 4.3 API 多少钱?+

WaveSpeedAI 定价:输入每百万 token $1.25,输出每百万 token $2.50。Prompt 缓存和批处理单独计费,可显著降低长上下文、高重复任务的实际成本。

Grok 4.3 的上下文窗口是多大?+

Grok 4.3 单次请求最多支持 1000K 上下文 token,输出最多 — token。

Grok 4.3 是否兼容 OpenAI?+

是的。WaveSpeedAI 通过 https://llm.wavespeed.ai/v1 的 OpenAI 兼容端点提供 Grok 4.3。把官方 OpenAI SDK 的 base URL 指向该地址,使用 WaveSpeedAI 的 API Key 即可,无需任何其他代码改动。

如何开始使用 Grok 4.3?+

登录 WaveSpeedAI,在 Access Keys 中生成 API Key,使用上方显示的 model id 向 https://llm.wavespeed.ai/v1/chat/completions 发送请求。新账户可获得免费额度,用于试用 Grok 4.3。

定价

试用模型