Moduck

Mistral: Magistral Small

Open Mistral reasoning model for transparent step-by-step problem solving

Model lab
Mistral
Model family
magistral

Model resources

Modalitiestext → text
Context window131,072
Maximum output8,192
Input · Context ≤ 128000 tokens · Maximum output 64000 tokensUSD 0.4 / 1M tokens
Output · Context ≤ 128000 tokens · Maximum output 64000 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-2506.

import os
import requests

base_url = "https://api.moduck.ai/v1"
api_key = os.environ["MODUCK_API_KEY"]
model_id = "mistral/magistral-small-2506"

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 API Pricing

TypePrice information
Input · Context ≤ 128000 tokens · Maximum output 64000 tokensUSD 0.4 / 1M tokens
Output · Context ≤ 128000 tokens · Maximum output 64000 tokensUSD 1.2 / 1M tokens
Cached input · Context ≤ 128000 tokens · Maximum output 64000 tokensUSD 0.4 / 1M tokens
Cache write · Context ≤ 128000 tokens · Maximum output 64000 tokensUSD 0.4 / 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

Throughput89.3 tok/sCurrent
Time to first token1.4 sCurrent
End-to-end latency8.0 sCurrent
Throughput
Current89.3 tok/s
Window average90.1 tok/s
Time to first token
Current1.4 s
Window average1.4 s
End-to-end latency
Current8.0 s
Window average7.5 s
Tail latency (P99)
Current13.8 s
Window average17.1 s
Prompt cache hit rate
Current31.3%
Window average23.3%
Error rate
Current0.0%
Window average0.1%

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 Compare models

ModelInput priceOutput priceContext windowCapabilities
Magistral SmallThis pageUSD 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
Magistral Small 1.2USD 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
Devstral 2USD 0.32 / 1M tokensUSD 1.6 / 1M tokens262,144Text output · Tool calling
Devstral 2 (latest)USD 0.32 / 1M tokensUSD 1.6 / 1M tokens262,144Text output · Tool calling
Codestral 25.08USD 0.24 / 1M tokensUSD 0.72 / 1M tokens128,000Text output · Tool calling

Model specifications

Input
text
Output
text
Context window
131,072
Maximum output
8,192
Release date
2025-06-10
Attachments
No
Reasoning
Yes
Tool calling
Yes
Temperature setting
Yes
Open weights
Yes

Frequently asked questions

What is Magistral Small for?

Open Mistral reasoning model for transparent step-by-step problem solving

What inputs and outputs does Magistral Small support?

Recorded inputs: text; outputs: text.

How is Magistral Small priced?

The pricing table shows the current recorded Moduck price. For example: Input · Context ≤ 128000 tokens · Maximum output 64000 tokens USD 0.4 / 1M tokens; Output · Context ≤ 128000 tokens · Maximum output 64000 tokens USD 1.2 / 1M tokens. See the pricing table for all units, variants, and conditions.

What specifications are recorded for Magistral Small?

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/magistral-small-2506. 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.