Mistral: Ministral 8B Instruct
Efficient open Mistral edge model for on-device chat and function calling
- Model lab
- Mistral
- Model family
- ministral
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/ministral-8b-instruct-2410.
import os
import requests
base_url = "https://api.moduck.ai/v1"
api_key = os.environ["MODUCK_API_KEY"]
model_id = "mistral/ministral-8b-instruct-2410"
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.
Ministral 8B Instruct API Pricing
| Type | Price information |
|---|---|
| Input · Context ≤ 128000 tokens · Maximum output 4000 tokens | USD 0.12 / 1M tokens |
| Output · Context ≤ 128000 tokens · Maximum output 4000 tokens | USD 0.12 / 1M tokens |
| Cached input · Context ≤ 128000 tokens · Maximum output 4000 tokens | USD 0.12 / 1M tokens |
| Cache write · Context ≤ 128000 tokens · Maximum output 4000 tokens | USD 0.12 / 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.
Ministral 8B Instruct Compare models
| Model | Input price | Output price | Context window | Capabilities |
|---|---|---|---|---|
| Ministral 8B InstructThis page | USD 0.12 / 1M tokens · Context ≤ 128000 tokens · Maximum output 4000 tokens | USD 0.12 / 1M tokens · Context ≤ 128000 tokens · Maximum output 4000 tokens | 131,072 | Text output · Tool calling |
| Ministral 3B | USD 0.08 / 1M tokens · Context ≤ 128000 tokens · Maximum output 4000 tokens | USD 0.08 / 1M tokens · Context ≤ 128000 tokens · Maximum output 4000 tokens | 128,000 | Text output · Tool calling |
| Ministral 3 3B | USD 0.08368 / 1M tokens | USD 0.08368 / 1M tokens | 262,144 | Text output · Tool calling |
| Ministral 3 3B 2512 | USD 0.08 / 1M tokens | USD 0.08 / 1M tokens | 131,072 | Text output · Tool calling |
| Ministral 3 8B | USD 0.12 / 1M tokens | USD 0.12 / 1M tokens | 262,144 | Text output · Tool calling |
Model specifications
- Input
- text
- Output
- text
- Context window
- 131,072
- Maximum output
- 8,192
- Release date
- 2024-10-16
- Attachments
- No
- Reasoning
- No
- Tool calling
- Yes
- Temperature setting
- Yes
- Open weights
- Yes
Frequently asked questions
What is Ministral 8B Instruct for?
Efficient open Mistral edge model for on-device chat and function calling
What inputs and outputs does Ministral 8B Instruct support?
Recorded inputs: text; outputs: text.
How is Ministral 8B Instruct priced?
The pricing table shows the current recorded Moduck price. For example: Input · Context ≤ 128000 tokens · Maximum output 4000 tokens USD 0.12 / 1M tokens; Output · Context ≤ 128000 tokens · Maximum output 4000 tokens USD 0.12 / 1M tokens. See the pricing table for all units, variants, and conditions.
What specifications are recorded for Ministral 8B Instruct?
Current model records list Context window 131,072 tokens; Maximum output 8,192 tokens.
What model parameter does the Quickstart use?
The example uses mistral/ministral-8b-instruct-2410. 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.