Mistral: Mistral Small 3.1 24B
Efficient multimodal model for instruction following, coding, reasoning, and function calling
- Model lab
- Mistral
- Model family
- mistral-small
Model resources
Quickstart
Use your Moduck API Key, set the API base URL to https://api.moduck.ai/v1, and set the model parameter to mistral/mistral-small-3-1-24b-instruct-2503.
import os
import requests
base_url = "https://api.moduck.ai/v1"
api_key = os.environ["MODUCK_API_KEY"]
model_id = "mistral/mistral-small-3-1-24b-instruct-2503"
response = requests.post(
f"{base_url}/chat/completions",
headers={
"Authorization": f"Bearer {api_key}",
"Content-Type": "application/json",
},
json={
"model": model_id,
"messages": [{"role": "user", "content": "Hello!"}],
"stream": False,
},
timeout=60,
)
response.raise_for_status()
print(response.json())Use the familiar OpenAI-style chat request format to make model integration easier.
Mistral Small 3.1 24B API Pricing
| Type | Price information |
|---|---|
| Input | USD 0.08 / 1M tokens |
| Output | USD 0.24 / 1M tokens |
Performance
Measured on the Moduck gateway across live traffic, hour by hour over the last 24 hours. Time to first token is how long before anything appears; throughput is how fast the answer is written after that; end-to-end latency is the whole round trip. Figures are medians unless the card says otherwise.
Performance trends
Availability
Uptime is the share of time at least one provider serving this model responded. Availability is stricter: the share of requests actually served. A provider that answers but fails part of the traffic lowers availability without lowering uptime. Both cover the last three days.
Mistral Small 3.1 24B Compare models
| Model | Input price | Output price | Context window | Capabilities |
|---|---|---|---|---|
| Mistral Small 3.1 24BThis page | USD 0.08 / 1M tokens | USD 0.24 / 1M tokens | 128,000 | Text output · Tool calling |
| Mistral Small (latest) | USD 0.12 / 1M tokens | USD 0.48 / 1M tokens | 256,000 | Text output · Reasoning · Tool calling |
| Mistral Small 4 | USD 0.12 / 1M tokens | USD 0.48 / 1M tokens | 256,000 | Text output · Reasoning · Tool calling |
| Mistral Small 3.2 | USD 0.06 / 1M tokens | USD 0.16 / 1M tokens | 128,000 | Text output · Tool calling |
| Mistral Small 3.2 24B | USD 0.075 / 1M tokens | USD 0.2 / 1M tokens | 256,000 | Text output · Tool calling |
Model specifications
- Input
- text, image
- Output
- text
- Context window
- 128,000
- Maximum output
- 16,384
- Release date
- 2025-03-17
- Attachments
- Yes
- Reasoning
- No
- Tool calling
- Yes
- Structured output
- Yes
- Temperature setting
- Yes
- Open weights
- Yes
Frequently asked questions
What is Mistral Small 3.1 24B for?
Efficient multimodal model for instruction following, coding, reasoning, and function calling
What inputs and outputs does Mistral Small 3.1 24B support?
Recorded inputs: text, images; outputs: text.
How is Mistral Small 3.1 24B priced?
The pricing table shows the current recorded Moduck price. For example: Input USD 0.08 / 1M tokens; Output USD 0.24 / 1M tokens. See the pricing table for all units, variants, and conditions.
What specifications are recorded for Mistral Small 3.1 24B?
Current model records list Context window 128,000 tokens; Maximum output 16,384 tokens.
What model parameter does the Quickstart use?
The example uses mistral/mistral-small-3-1-24b-instruct-2503. This value comes from the page identifier and is not confirmed as a callable Moduck public ID.
Can I call this model through the Moduck API now?
This page has no verified Moduck API call for this model. A Quickstart example or reserved ID does not establish access; check the models available to your account.