Using Mistral Small 3.1 24B Instruct on Together AI
Implementation guide · Mistral Small · MistralAI
Serverless
Quick Start
- 1
- 2Use the Together AI SDK or REST API to call
mistral-small-3.1-24b-instruct— see the documentation for request format. - 3
Code Examples
Install
pip install togetherAPI key
TOGETHER_API_KEYModel ID
mistral-small-3.1-24b-instructTogether uses "organization/model-name" format, e.g. "meta-llama/Llama-4-Scout-17B-16E-Instruct" or "Qwen/QwQ-32B". See the Together model catalog for the exact ID.
from together import Together
client = Together() # reads TOGETHER_API_KEY from env
response = client.chat.completions.create(
model="mistral-small-3.1-24b-instruct",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)About Together AI
Platform for running open-source and proprietary LLMs
Together AI is a platform for running open-source and proprietary LLMs with fast serverless and dedicated endpoints at competitive inference pricing.
Pricing on Together AI
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.10 |
| Output tokens | $0.30 |
Capabilities
VisionMultimodalStructured Outputs
About Mistral Small 3.1 24B Instruct
Mistral's Small 3.1 24B model with multimodal vision understanding capabilities. Optimized for cost-efficient deployment with 128K token context window. Available on Cloudflare Workers AI.
Model Specs
Released2025-12-15
Parameters24B
Context128K
ArchitectureDense
Knowledge cutoff2023-10