Mistral Small 3.2 24B
ActiveMistral-Small-3.2-24B-Instruct-2506 is an updated 24B parameter model from Mistral optimized for instruction following, repetition reduction, and improved function calling. Compared to the 3.1 release, version 3.2 significantly improves accuracy on...
Overview
Mistral-Small-3.2-24B-Instruct-2506 is an updated 24B parameter model from Mistral optimized for instruction following, repetition reduction, and improved function calling. Compared to the 3.1 release, version 3.2 significantly improves accuracy on...
History
Mistral Small 3.2 24B became available via the Mistral AI API on 2025-06-20.
Training & availability
Training data has a knowledge cutoff of 2023-10-31 — information about events after that date is unlikely to appear in the model's responses. Mistral AI has not released the underlying model weights — access is via their hosted API only.
Capabilities
-
Context window: 128K tokens.
-
Input modalities: image, text.
Recommended for: vision, cheap.
Limitations
- The knowledge cutoff is 30 months old — this model will not know about recent events, releases, or API changes.
Pricing
- Input: $0.0750 per 1M tokens
- Output: $0.2000 per 1M tokens
Use the cost calculator above to estimate monthly spend for your workload.
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-3-2-24b-instruct",
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.
Popularity
Signals from open-source communities — not a quality measure, but useful for gauging adoption among developers.
Integrations & tooling support
- Tool calling
- Not supported
- Structured outputs
- Not supported
Price vs quality
Priced low — good for high-volume tasks. Quality tier pending more benchmark coverage.
- Quality percentile
- —
- Effective price
- $0.169/1M
- Pricing breakdown
- $0.075/1M in
$0.2/1M out
Community ratings
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Comments
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