Moduck

Mistral: Magistral Small 1.2

Open multimodal reasoning model for transparent analysis of text and images

Model lab
Mistral
Model family
magistral

Model resources

Modalitiestext, image → text
Context window131,072
Maximum output131,072
Input · Context ≤ 128000 tokens · Maximum output 40000 tokensUSD 0.4 / 1M tokens
Output · Context ≤ 128000 tokens · Maximum output 40000 tokensUSD 1.2 / 1M tokens

Quickstart

Use your Moduck API Key, set the API base URL to https://api.moduck.ai/v1, and set the model parameter to mistral/magistral-small-2509.

import os
import requests

base_url = "https://api.moduck.ai/v1"
api_key = os.environ["MODUCK_API_KEY"]
model_id = "mistral/magistral-small-2509"

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.

Magistral Small 1.2 API Pricing

TypePrice information
Input · Context ≤ 128000 tokens · Maximum output 40000 tokensUSD 0.4 / 1M tokens
Output · Context ≤ 128000 tokens · Maximum output 40000 tokensUSD 1.2 / 1M tokens

Benchmarks

Intelligence Index · v4.38.6
Coding Index14.7
Agentic Index—

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.

Artificial Analysis measurement

Output speed74.26 tokens/s
Time to first token1.52 s
Time to first answer token—
End-to-end response time—

Performance trends

Throughput74.26 tok/sCurrent
Time to first token1.52 sCurrent
End-to-end latency8.0 sCurrent
Throughput
Current74.26 tok/s
Window average84.4 tok/s
Time to first token
Current1.52 s
Window average1.5 s
End-to-end latency
Current8.0 s
Window average7.5 s
Tail latency (P99)
Current15.3 s
Window average17.0 s
Prompt cache hit rate
Current26.4%
Window average23.3%
Error rate
Current0.0%
Window average0.2%

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.

Uptime100%At least one provider responded
Availability100%Requests actually served
Error rate0%Share of failed requests
Served requests, hour by hour
24 hours agoNow

Magistral Small 1.2 Compare models

ModelInput priceOutput priceContext windowCapabilities
Magistral Small 1.2This pageUSD 0.4 / 1M tokens · Context ≤ 128000 tokens · Maximum output 40000 tokensUSD 1.2 / 1M tokens · Context ≤ 128000 tokens · Maximum output 40000 tokens131,072Text output · Reasoning · Tool calling
Magistral SmallUSD 0.4 / 1M tokens · Context ≤ 128000 tokens · Maximum output 64000 tokensUSD 1.2 / 1M tokens · Context ≤ 128000 tokens · Maximum output 64000 tokens131,072Text output · Reasoning · Tool calling
Mistral Large 4USD 0.544 / 1M tokensUSD 1.672 / 1M tokens1,048,576Text output · Reasoning · Tool calling
Mistral Medium (latest)USD 0.32 / 1M tokensUSD 1.6 / 1M tokens262,144Text output · Reasoning · Tool calling
Mistral Medium 3.5USD 1.38 / 1M tokensUSD 5.52 / 1M tokens262,144Text output · Reasoning · Tool calling

Model specifications

Input
text, image
Output
text
Context window
131,072
Maximum output
131,072
Release date
2025-09-18
Attachments
Yes
Reasoning
Yes
Tool calling
Yes
Temperature setting
Yes
Open weights
Yes

Frequently asked questions

What is Magistral Small 1.2 for?

Open multimodal reasoning model for transparent analysis of text and images

What inputs and outputs does Magistral Small 1.2 support?

Recorded inputs: text, images; outputs: text.

How is Magistral Small 1.2 priced?

The pricing table shows the current recorded Moduck price. For example: Input · Context ≤ 128000 tokens · Maximum output 40000 tokens USD 0.4 / 1M tokens; Output · Context ≤ 128000 tokens · Maximum output 40000 tokens USD 1.2 / 1M tokens. See the pricing table for all units, variants, and conditions.

What specifications are recorded for Magistral Small 1.2?

Current model records list Context window 131,072 tokens; Maximum output 131,072 tokens.

What model parameter does the Quickstart use?

The example uses mistral/magistral-small-2509. 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.