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.
18 Nov 2024
18 Nov 2024
27 Feb 2026
31 May 2026
Parameters
124,000,000,000
License
Mistral AI Research License
Input
Output
Core latency and throughput trends from recent traffic.
Headline benchmark standings and comparison context.
Top benchmark results for mistral/pixtral-large.
Detailed benchmark comparisons now live in the Compare tool.
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": "mistral/pixtral-large",
"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. |
frequency_penalty | Discourages repeated tokens in proportion to how often they already appeared. |
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. |
stop | Defines one or more sequences that terminate generation early. |
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. |
Select a route to update the request snippet and compatibility details.
/v1/responses/v1/chat/completions/v1/messages