Mistral Small Creative
Model ID for Inference: mistralai/mistral-small-creative
Overview
| Property |
Value |
| Full Name |
Mistral: Mistral Small Creative |
| Model ID |
mistralai/mistral-small-creative |
| Provider Model ID |
labs-mistral-small-creative |
| Created |
December 16, 2025 |
| Context Length |
32,768 tokens |
| Input Modalities |
Text |
| Output Modalities |
Text |
Description
Mistral Small Creative is an experimental small model designed for:
- Creative writing - Narrative generation, storytelling, and prose
- Roleplay and character-driven dialogue - Interactive fiction and character voices
- General-purpose instruction following - Following complex multi-step instructions
- Conversational agents - Natural dialogue and conversation flow
This model is optimized for creative tasks while maintaining strong general instruction-following capabilities. It represents Mistral AI's exploration into specialized creative AI assistants.
Pricing
| Type |
Cost per Million Tokens |
| Input |
$0.10 |
| Output |
$0.30 |
Cost Examples
| Use Case |
Input Tokens |
Output Tokens |
Total Cost |
| Short story (2K in, 4K out) |
2,000 |
4,000 |
$0.0014 |
| Novel chapter (5K in, 10K out) |
5,000 |
10,000 |
$0.0035 |
| Extended roleplay session (20K in, 30K out) |
20,000 |
30,000 |
$0.011 |
Supported Parameters
Core Parameters
| Parameter |
Supported |
Notes |
| temperature |
Yes |
Controls randomness (default: 0.3) |
| top_p |
Yes |
Nucleus sampling (default: 0.95) |
| max_tokens |
Yes |
Maximum output length |
| stop |
Yes |
Stop sequences |
| Parameter |
Supported |
Notes |
| tools |
Yes |
Function/tool definitions |
| tool_choice |
Yes |
Control tool selection |
Advanced Parameters
| Parameter |
Supported |
Notes |
| frequency_penalty |
Yes |
Reduce repetition |
| presence_penalty |
Yes |
Encourage topic diversity |
| seed |
Yes |
Reproducible outputs |
| response_format |
Yes |
Structured output format |
Reasoning
| Parameter |
Supported |
Notes |
| include_reasoning |
Yes |
Reasoning configuration available |
Default Parameters
| Parameter |
Default Value |
| Temperature |
0.3 |
| Top P |
0.95 |
Recent Activity (December 16-23, 2025)
| Metric |
Value |
| Total Prompt Tokens |
1.01 trillion |
| Total Completion Tokens |
203.5 billion |
| Total Requests |
598,694 |
| Tool Calls |
4,124 |
Peak Day (December 17, 2025):
- Requests: 218,369
- Prompt Tokens: 268.3M
- Completion Tokens: 51.5M
Best Practices
For Creative Writing
- Use higher temperature (0.6-0.9) for more creative outputs
- Provide detailed context and character descriptions
- Use system prompts to establish tone and style
For Roleplay
- Define character personalities in the system prompt
- Use lower temperature (0.3-0.5) for more consistent character behavior
- Include scenario context for immersive experiences
For Instruction Following
- Keep the default temperature (0.3) for accuracy
- Break complex tasks into clear steps
- Use structured prompts for predictable outputs
From Mistral AI
| Model ID |
Description |
mistralai/mistral-nemo |
Lightweight general-purpose model |
mistralai/mistral-small-3.2-24b-instruct-2506 |
Small instruction-tuned model |
mistralai/mistral-small-24b-instruct-2501 |
Previous small instruction model |
mistralai/mistral-tiny |
Ultra-lightweight model |
mistralai/mixtral-8x7b-instruct |
Mixture of experts model |
mistralai/mistral-medium-3.1 |
Medium-sized general model |
mistralai/mistral-large-2411 |
Large flagship model (Nov 2024) |
mistralai/mistral-large-2512 |
Large flagship model (Dec 2025) |
mistralai/codestral-2508 |
Code-specialized model |
mistralai/devstral-2512 |
Developer-focused model |
Providers
Mistral AI (Primary Provider)
| Property |
Value |
| Provider |
Mistral AI |
| Provider Model ID |
labs-mistral-small-creative |
| Adapter |
MistralAdapter |
| Status Page |
https://status.mistral.ai/ |
| Data Policy |
Prompts retained for 30 days max; no training use |
| BYOK Enabled |
Yes |
| Multipart Support |
Yes |
Data Privacy
- Prompts are retained for a maximum of 30 days
- No training use of user data
- Cannot publish or share user content
Usage Example
curl https://api.langmart.ai/v1/chat/completions \
-H "Authorization: Bearer $LANGMART_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "mistralai/mistral-small-creative",
"messages": [
{
"role": "user",
"content": "Write the opening paragraph of a fantasy novel about a thief who discovers they can talk to shadows."
}
],
"temperature": 0.7,
"max_tokens": 500
}'
Source: LangMart (https://langmart.ai/model-docs)
Last Updated: December 23, 2025