Grok 4.5 is SpaceXAI's smartest model with frontier performance on coding, knowledge work, and STEM.
visiontools
MODALITIES
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INPUT PRICE
$2
OUTPUT PRICE
$6
CONTEXT
500K
RELEASED
Jul 8, 2026
| Provider | Cache | Uptime | Chat | |||
|---|---|---|---|---|---|---|
| — | $2 | $6 | Hit rate61.0% Cache read$0.5 |
Capabilities
Input modalities
fileimagetext
Output modalities
text
Features
frequency_penaltyinclude_reasoninglogprobsmax_tokenspresence_penaltyreasoningreasoning_effortresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_logprobstop_p
1
Get your API key
Create an API key from the Keys page, then set it as an environment variable:
export ONLIST_API_KEY=sk-...2
Make your first request
Endpoints
POST
https://onlist.io/v1/chat/completionsOpenAI Chat Completions format
Request Headers
Authorization:Bearer $ONLIST_API_KEY
Content-Type:application/json
Model:x-ai/grok-4.5
POST
https://onlist.io/v1/responsesOpenAI Responses format
Request Headers
Authorization:Bearer $ONLIST_API_KEY
Content-Type:application/json
Model:x-ai/grok-4.5
POST
https://onlist.io/v1/messagesAnthropic Messages format
Request Headers
Authorization:Bearer $ONLIST_API_KEY
Content-Type:application/json
Model:x-ai/grok-4.5
Code samples
curl https://onlist.io/v1/chat/completions \
-H "Authorization: Bearer $ONLIST_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "x-ai/grok-4.5",
"messages": [
{
"role": "user",
"content": "Explain quantum entanglement in one paragraph."
}
]
}'Replace $ONLIST_API_KEY with the API key from your Keys page.
Authentication
All requests must include an Authorization: Bearer <TOKEN> header. Generate keys from the Keys page; keys can be scoped to specific models, groups, IP ranges, and rate limits.
3
Enable streaming
Add "stream": true to receive partial responses as server-sent events in real time.
Streaming example
curl https://onlist.io/v1/chat/completions \
-H "Authorization: Bearer $ONLIST_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "x-ai/grok-4.5",
"messages": [
{
"role": "user",
"content": "Write a haiku about recursion."
}
],
"stream": true
}'Supported parameters
| Name | Type | Description |
|---|---|---|
frequency_penalty | number | Penalizes new tokens based on their existing frequency in the text (-2.0 to 2.0). |
include_reasoning | ||
logprobs | boolean | Whether to return log probabilities of the output tokens. |
max_tokens | integer | Maximum number of tokens to generate in the completion. |
presence_penalty | number | Penalizes new tokens based on whether they appear in the text so far (-2.0 to 2.0). |
reasoning | ||
reasoning_effort | string | Constrains effort on reasoning. Supported values: "low", "medium", "high". |
response_format | object | Specifies the output format. Use {"type": "json_object"} for JSON mode. |
seed | integer | If specified, the system will attempt deterministic sampling for reproducible results. |
stop | string | array | Up to 4 sequences where the API will stop generating tokens. |
structured_outputs | ||
temperature | number | Sampling temperature between 0 and 2. Higher values make output more random. |
tool_choice | string | object | Controls which tool is called. "auto", "none", "required", or a specific function. |
tools | array | A list of tools the model may call. Currently supports functions. |
top_logprobs | integer | Number of most likely tokens to return at each position (0-20). Requires logprobs: true. |
top_p | number | Nucleus sampling. The model considers tokens with top_p probability mass. |
These are the request parameters this model accepts. Parameter semantics follow the OpenAI Chat Completions specification.