Mistral Small — Mistral AI | Modeldex

Mistral Small

Active

Efficient open-weights mid-sized model from Mistral.

Updated 3 days agoStructured data from Modeldex catalog

AgenticOpen source

Not enough benchmark coverage yet for an Intelligence Index — needs at least 3 results across 2 categories.

Overview

Mistral Small is an open-weights model suitable for self-hosting and cost-sensitive commercial use. Apache-2.0 licensed.

History

Mistral Small was released on 2024-09-17.

Training & availability

Weights are publicly available under the Apache-2.0 license, making this an open-weight model suitable for on-prem deployment and fine-tuning.

Capabilities

Context window: 32K tokens.
Max output: 8K tokens.
Input modalities: text.

Recommended for: agentic, open-source.

Limitations

The context window (32K tokens) is modest by 2026 standards — unsuitable for processing long documents in a single request.
Text-only — cannot process images, audio, or video inputs.

Quick start

Minimal example using the OpenRouter API. Copy, paste, replace the key.

from openai import OpenAI

client = OpenAI(
    base_url="https://openrouter.ai/api/v1",
    api_key="sk-or-...",
)
resp = client.chat.completions.create(
    model="mistral/mistral-small",
    messages=[{"role": "user", "content": "Explain quantum computing in one sentence."}],
)
print(resp.choices[0].message.content)

Cost calculator

Estimate your monthly bill. Presets are typical workload sizes.

Input tokens / month5.0M

@ $0.05/1M

Output tokens / month2.0M

@ $0.08/1M

Input cost

$0.25

5.0M × $0.05/1M

Output cost

$0.16

2.0M × $0.08/1M

Total / month

$0.41

$4.92 / year

Integrations & tooling support

Tool calling: Supported
Structured outputs: Not supported

Price vs quality

Budget pricing

Priced low — good for high-volume tasks. Quality tier pending more benchmark coverage.