x-ai/grok-4.3
發布時間: 2026-05-01
1,000,000 context · $1.25/M input tokens · $2.50/M output tokens
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.
定價
按用量付費
無需預付費用，僅按實際使用量付費
試用模型
API 使用
使用以下程式碼範例整合我們的 API：
import OpenAI from 'openai';
if (!process.env.WAVESPEED_API_KEY) throw new Error('Set WAVESPEED_API_KEY');
const client = new OpenAI({
apiKey: process.env.WAVESPEED_API_KEY,
baseURL: 'https://llm.wavespeed.ai/v1',
timeout: 120_000,
maxRetries: 2,
});
try {
const response = await client.chat.completions.create({
model: 'x-ai/grok-4.3',
messages: [{ role: 'user', content: 'Hello!' }],
});
console.log(response.choices[0]?.message?.content ?? '');
} catch (error) {
console.error('LLM request failed:', error);
process.exitCode = 1;
}import OpenAI from 'openai';
if (!process.env.WAVESPEED_API_KEY) throw new Error('Set WAVESPEED_API_KEY');
const client = new OpenAI({
apiKey: process.env.WAVESPEED_API_KEY,
baseURL: 'https://llm.wavespeed.ai/v1',
timeout: 120_000,
maxRetries: 2,
});
try {
const response = await client.chat.completions.create({
model: 'x-ai/grok-4.3',
messages: [{ role: 'user', content: 'Hello!' }],
});
console.log(response.choices[0]?.message?.content ?? '');
} catch (error) {
console.error('LLM request failed:', error);
process.exitCode = 1;
}模型介紹
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!"}]
}'資訊
支援功能
API 存取指南
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.
輸入
$1.25 /M
輸出
$2.5 /M
上下文
1000K
Vision
支援
工具調用
支援
關於 Grok 4.3 的常見問題
Grok 4.3 API 多少錢?+
WaveSpeedAI 定價:輸入每百萬 token $1.25,輸出每百萬 token $2.50。Prompt 快取與批次處理分別計費,可顯著降低長上下文、高重複任務的實際成本。
Grok 4.3 的上下文視窗有多大?+
Grok 4.3 每次請求最多支援 1000K 上下文 token,輸出最多 — token。
Grok 4.3 是否相容 OpenAI?+
WaveSpeedAI 透過 https://llm.wavespeed.ai/v1 的 OpenAI 相容 Chat Completions 介面提供 Grok 4.3。大多數 OpenAI SDK 用戶端只需更換 base URL 和 API Key；選用欄位取決於具體模型。
如何開始使用 Grok 4.3?+
登入 WaveSpeedAI，在 Access Keys 中建立 API Key，然後使用上方顯示的 model id 向 https://llm.wavespeed.ai/v1/chat/completions 發送請求。模型可用性、能力和價格請以目前模型目錄為準。