Mistral · Open weights
Mistral Small 3.2 24B (2506)
The latest iteration of Mistral Small, version 3.2 (2506) brings enhanced performance and capabilities. With 24 billion parameters, this model delivers state-of-the-art results across text generation tasks with improved efficiency.
- Input
- Text
- Output
- Text
- Discovery tier
- Open weights
Pricing
USD per 1M tokens- Input
- $0.20
- Output
- $0.40
Reference prices as published by the model provider. API example
Specifications
- Context window
- 128K
- Max output
- 16.4K
Side by side
Mistral Small 3.2 24B (2506) compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| Mistral Small 3.2 24B (2506)MistralThis model | GLM 5.3 Flash UncensoredZ.aiRemove | |
|---|---|---|
| Provider | Mistral | Z.ai |
| Discovery tier | Open weights | Open weights |
| Added | Apr 15, 2025 | Jul 29, 2026 |
| Limits | ||
| Context window | 128K | 1.05MBest |
| Max output | 16.38K | 32.77KBest |
| Average output | — | 692 tokens |
| Pricing, USD per 1M tokens | ||
| Input | $0.20 | $0.20 |
| Output | $0.40Best | $0.80 |
| Cache read | — | $0.07 |
| Performance | ||
| Throughput | — | 212.0 tok/s |
| Time to first token | — | 2.1 s |
| Request success (24h) | 100.0%Best | 99.8% |
| Capabilities | ||
| Reasoning | No | Yes |
| Tools | No | Yes |
| Vision | No | Yes |
| Structured output | No | Yes |
| Reasoning effort | — | low, high |
Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
- Mistral Small 3.2 24B (2506)
- GLM 5.3 Flash Uncensored
| Leaderboard | Mistral Small 3.2 24B (2506) | GLM 5.3 Flash Uncensored |
|---|---|---|
| Combined | Not in top 20 | #17 · 8.5% |
Ranks among Noumen catalog models on Combined leaderboards. Only top-20 placements are listed.
- Mistral Small 3.2 24B (2506)
- GLM 5.3 Flash Uncensored
| Leaderboard | Mistral Small 3.2 24B (2506) | GLM 5.3 Flash Uncensored |
|---|---|---|
| Usage Share | Not in top 20 | #3 · 7.3% |
Ranks among Noumen catalog models on Usage leaderboards. Only top-20 placements are listed.
Live routing data
Performance and reliability
Recent averages across requests routed for this model. Your own speed depends on prompt length, reasoning effort and load.
- Request success (24h)
- 100.0%
- Reliable
- Healthy (98% or more)
- Degraded (90–98%)
- Down (under 90%)
- No requests
Developers
Use it through the API
Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.
curl https://www.noumen.xyz/api/v1/chat/completions \
-H "Authorization: Bearer $NOUMEN_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "mistralai/mistral-small-3.2-24b-instruct",
"messages": [{ "role": "user", "content": "Explain this stack trace." }]
}'import os
from openai import OpenAI
client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
model="mistralai/mistral-small-3.2-24b-instruct",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)Mistral
Related models
Other Mistral models, starting with the same family.