x-ai/grok-4
256,000 context · $3.00/M input tokens · $15.00/M output tokens
Grok 4 is xAI's latest reasoning model with a 256k context window. It supports parallel tool calling, structured outputs, and both image and text inputs. Note that reasoning is not...
Pay-per-use
No upfront costs, pay only for what you use
Use the following code examples to integrate with our 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",
messages=[
{"role": "user", "content": "Hello!"}
]
)
print(response.choices[0].message.content)x-ai grok-4
| Specification | Value |
|---|---|
| Provider | X-Ai |
| Model Type | Large Language Model (LLM) |
| Architecture | N/A |
| Context Window | 256000 tokens |
| Max Output | 4096 tokens |
| Input | Text |
| Output | Text |
| Vision | Supported |
| Function Calling | Supported |
| Token Type | Cost per Million Tokens |
|---|---|
| Input | $3.3 |
| Output | $16.5 |
Base URL: https://llm.wavespeed.ai/v1 API Endpoint: chat/completions Model ID: x-ai/grok-4
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",
messages=[
{"role": "user", "content": "Hello!"}
]
)
print(response.choices[0].message.content)
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",
"messages": [{"role": "user", "content": "Hello!"}]
}'
x-ai/grok-4
Grok 4 is xAI's latest reasoning model with a 256k context window. It supports parallel tool calling, structured outputs, and both image and text inputs. Note that reasoning is not...
Input
$3 /M
Output
$15 /M
Context
256K
Max Output
4K
Vision
Supported
Tool Use
Supported
Access Grok 4 through our unified API — OpenAI-compatible, no cold starts, transparent pricing.
Pricing on WaveSpeedAI: $3.00 per million input tokens and $15.00 per million output tokens. Prompt caching and batch processing are billed separately and reduce effective cost on long, repetitive workloads.
Grok 4 supports up to 256K tokens of context with up to 4K tokens of output per request.
Yes. WaveSpeedAI exposes Grok 4 through an OpenAI-compatible endpoint at https://llm.wavespeed.ai/v1. Point the official OpenAI SDK at this base URL with your WaveSpeedAI API key — no other code changes required.
Sign in to WaveSpeedAI, create an API key in Access Keys, then send a request to https://llm.wavespeed.ai/v1/chat/completions with model id set to the value shown above. New accounts receive free credits to evaluate Grok 4 before paying per token.