Mistral: Ministral 3 8B

Compact open vision-language model for edge deployment, instruction following, and tool use

Model lab: Mistral
Model family: ministral

Model resources

Hugging Face

Modalitiestext, image → text

Context window262,144

Maximum output262,144

InputUSD 0.12 / 1M tokens

OutputUSD 0.12 / 1M tokens

Try now

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-3-8b-instruct-2512.

import os
import requests

base_url = "https://api.moduck.ai/v1"
api_key = os.environ["MODUCK_API_KEY"]
model_id = "mistral/ministral-3-8b-instruct-2512"

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 3 8B API Pricing

Type	Price information
Input	USD 0.12 / 1M tokens
Output	USD 0.12 / 1M tokens
Cached input	USD 0.012 / 1M tokens

Benchmarks

Intelligence Index · v4.35.5

Coding Index9.7

Agentic Index0.6

Performance

Output speed92.85 tokens/s

Time to first token0.81 s

Time to first answer token—

End-to-end response time—

Performance trends

Throughput92.85 tok/sCurrent

Time to first token0.81 sCurrent

End-to-end latency7.7 sCurrent

Throughput

Current92.85 tok/s

Window average92.2 tok/s

Time to first token

Current0.81 s

Window average0.9 s

End-to-end latency

Current7.7 s

Window average7.5 s

Tail latency (P99)

Current15.2 s

Window average16.8 s

Prompt cache hit rate

Current26.0%

Window average23.7%

Error rate

Current0.0%

Window average0.1%

Availability

Uptime100%At least one provider responded

Availability100%Requests actually served

Error rate0%Share of failed requests

Served requests, hour by hour

24 hours agoNow

Ministral 3 8B Compare models

Model	Input price	Output price	Context window	Capabilities
Ministral 3 8BThis page	USD 0.12 / 1M tokens	USD 0.12 / 1M tokens	262,144	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 2512	USD 0.12 / 1M tokens	USD 0.12 / 1M tokens	262,144	Text output · Tool calling
Ministral 3 14B	USD 0.16 / 1M tokens	USD 0.16 / 1M tokens	262,144	Text output · Tool calling

Model specifications

Input: text, image
Output: text
Context window: 262,144
Maximum output: 262,144
Release date: 2025-12-02
Attachments: Yes
Reasoning: No
Tool calling: Yes
Structured output: Yes
Temperature setting: Yes
Open weights: Yes

Frequently asked questions

What is Ministral 3 8B for?

Compact open vision-language model for edge deployment, instruction following, and tool use

What inputs and outputs does Ministral 3 8B support?

Recorded inputs: text, images; outputs: text.

How is Ministral 3 8B priced?

The pricing table shows the current recorded Moduck price. For example: Input USD 0.12 / 1M tokens; Output USD 0.12 / 1M tokens. See the pricing table for all units, variants, and conditions.

What specifications are recorded for Ministral 3 8B?

Current model records list Context window 262,144 tokens; Maximum output 262,144 tokens.

What model parameter does the Quickstart use?

The example uses mistral/ministral-3-8b-instruct-2512. 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.