Start calling this model with endpoint-specific examples.
Headline benchmark standings and comparison context.
Key dates, capabilities, and model metadata.
Start calling this model with endpoint-specific examples.
Headline benchmark standings and comparison context.
Key dates, capabilities, and model metadata.
Start calling this model with endpoint-specific examples.
Headline benchmark standings and comparison context.
Key dates, capabilities, and model metadata.
17 Feb 2026
17 Feb 2026
License
Proprietary
Input
Output
Core latency and throughput trends from recent traffic.
Headline benchmark standings and comparison context.
Top benchmark results for x-ai/grok-4.20-multi-agent-beta.
Detailed benchmark comparisons now live in the Compare tool.
Latency
Throughput
Uptime
Latency
Throughput
Uptime
Start calling this model with endpoint-specific examples.
Choose a supported endpoint, pick a main language, then select the example style you want to copy.
import AIStats from '@ai-stats/sdk';
const client = new AIStats({
apiKey: process.env.AI_STATS_API_KEY,
});
const response = await client.generateResponse({
"model": "x-ai/grok-4.20-multi-agent-beta-0309",
"input": "Give me one fun fact about cURL.",
"service_tier": "standard"
});
const outputText = response.output
?.flatMap((item) => item.content ?? [])
.find((item) => item.type === "output_text")
?.text;
console.log(outputText ?? response);Parameters
Aggregated across active providers for the responses route.
Routing will select a compatible provider when a parameter narrows availability, so this list stays model-facing instead of provider-facing.
| Parameter | Description |
|---|---|
temperature | Controls how random token selection can be. |
top_p | Applies nucleus sampling by limiting candidates to a probability mass threshold. |
max_tokens | Caps output length on endpoints and providers that use the max_tokens field name. |
seed | Requests deterministic sampling when the upstream provider supports seeded generation. |
logprobs | Requests token-level probability data in the response. |
tool_choice | Controls which tool, if any, the model should call. |
tools | Defines callable tools or functions the model can invoke. |
response_format | Requests plain text, JSON, or schema-constrained output formats. |
structured_outputs | Capability signal for reliable schema-constrained output workflows. |
top_logprobs | Limits how many alternative token probabilities are returned per position. |
Select a route to update the request snippet and compatibility details.
/v1/responses/v1/chat/completions/v1/messages