compact · Mar 2026
Mistral Small 3.2 24B
Mistral’s efficient model — excellent for high-volume, latency-sensitive workloads.
By Mistral · Text · Apache 2.0
Model details
Specs & substance
Spec sheet
Developed byMistral
Model familyMistral
Categorycompact
ModalityText
Context window128K tokens
ArchitectureDense
VersionSmall 3.2
LicenseApache 2.0
Pricing$0.09 in$0.30 out · $0.05 cache
ReleasedMar 2026
Endpointparasail-mistral-small-32-24b
Mistral’s efficient model — excellent for high-volume, latency-sensitive workloads.
Mistral Small 3.2 24B is part of the Mistral family by Mistral, categorized as a compact model. It supports a 128K tokens context window and is built on a Dense architecture.
Key strengths: efficient, fast. Parasail serves Mistral Small 3.2 24B on a global fleet of current-gen GPUs behind a single OpenAI-compatible endpoint — with per-token pricing, no minimums, and dedicated capacity options when you need guaranteed throughput.
Integrate
Drop-in via the OpenAI SDK
Point any OpenAI-compatible chat client at Parasail and change the model name. That's it.
pythonparasail · Mistral Small 3.2 24B
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://api.parasail.io/v1"
)
response = client.chat.completions.create(
model="parasail-mistral-small-32-24b",
messages=[
{"role": "user", "content": "Hello, what can you do?"}
],
stream=True,
stream_options={"include_usage": True},
top_p=1,
max_tokens=1000,
temperature=1
)
for chunk in response:
if chunk.choices and chunk.choices[0].delta.content is not None:
print(chunk.choices[0].delta.content, end="", flush=True)bashparasail · Mistral Small 3.2 24B
curl https://api.parasail.io/v1/chat/completions \
-H "Authorization: Bearer $PARASAIL_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "parasail-mistral-small-32-24b",
"messages": [{"role": "user", "content": "Hello, what can you do?"}],
"stream": true,
"max_tokens": 1000
}'More models