x-ai/grok-4.3
Release date: 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.
Pricing
Pay-per-use
No upfront costs, pay only for what you use
Try the model
API Usage
Use the following code examples to integrate with our 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;
}Model Introduction
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!"}]
}'Info
Supported Functionality
API Access Guide
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.
Input
$1.25 /M
Output
$2.5 /M
Context
1000K
Vision
Supported
Tool Use
Supported
Try Grok 4.3 on WaveSpeedAI
Access Grok 4.3 through our unified API — OpenAI-compatible, no cold starts, transparent pricing.
Frequently Asked Questions about Grok 4.3
How much does Grok 4.3 cost via the API?+
Pricing on WaveSpeedAI: $1.25 per million input tokens and $2.50 per million output tokens. Prompt caching and batch processing are billed separately and reduce effective cost on long, repetitive workloads.
What is the context window of Grok 4.3?+
Grok 4.3 supports up to 1000K tokens of context with up to — tokens of output per request.
Is Grok 4.3 OpenAI-compatible?+
WaveSpeedAI exposes Grok 4.3 at https://llm.wavespeed.ai/v1 through the OpenAI-compatible Chat Completions interface. Most OpenAI SDK clients work by changing the base URL and API key; optional fields depend on the selected model.
How do I get started with Grok 4.3?+
Sign in to WaveSpeedAI, create an API key in Access Keys, then send a request to https://llm.wavespeed.ai/v1/chat/completions with the model id shown above. Check the current model catalog for availability, capabilities, and pricing.