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 Apr 2026
17 Apr 2026
Parameters
35,000,000,000
License
Apache 2.0
Input
Output
Core latency and throughput trends from recent traffic.
Latency
Throughput
Uptime
Latency
Throughput
Uptime
Latency
Throughput
Uptime
Latency
Throughput
Uptime
Latency
Throughput
Uptime
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": "qwen/qwen3.6-35b-a3b",
"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. |
presence_penalty | Encourages the model to explore new wording or topics after they first appear. |
seed | Requests deterministic sampling when the upstream provider supports seeded generation. |
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. |
frequency_penalty | Discourages repeated tokens in proportion to how often they already appeared. |
stop | Defines one or more sequences that terminate generation early. |
logprobs | Requests token-level probability data in the response. |
tool_choice | Controls which tool, if any, the model should call. |
parallel_tool_calls | Allows or restricts concurrent tool execution where supported. |
reasoning | Provider-specific reasoning configuration for reasoning-capable APIs. |
reasoning_effort | Requests a lower or higher reasoning budget when the endpoint exposes that control. |
include_reasoning | Requests reasoning content or reasoning summaries in responses where supported. |
audio | See the full parameter reference for endpoint-specific semantics and provider caveats. |
metadata | See the full parameter reference for endpoint-specific semantics and provider caveats. |
modalities | See the full parameter reference for endpoint-specific semantics and provider caveats. |
prediction | See the full parameter reference for endpoint-specific semantics and provider caveats. |
service_tier | Chooses a supported request tier such as priority or flex when the route supports it. |
store | See the full parameter reference for endpoint-specific semantics and provider caveats. |
stream_options_include_usage | See the full parameter reference for endpoint-specific semantics and provider caveats. |
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