Mistral Small 3.2 24B with Jev
Mistral Small 3.2 24B is a model from Mistral, released 2025-06-20. It costs $0.094 per million input tokens and $0.250 per million output tokens, reads up to 256K tokens of context, and writes up to 16,384 tokens in one reply. Through llm11, set model to mistralai/mistral-small-3.2-24b-instruct.
- Input price
- $0.094 / 1M
- Output price
- $0.250 / 1M
- Context window
- 256K tokens
- Max output
- 16K tokens
- Released
- 2025-06-20
- Accepts
- image, text
Read from the live catalogue and refreshed daily. At blended list price, 85% of the 332 priced models we can call cost more.
Using Mistral Small 3.2 24B with Jev
Jev is TypeSafe AI's System One model. It reads each request first and decides which model in your pool answers, with a calibrated confidence on that call. Mistral Small 3.2 24B does the answering when Jev sends it work, or when you name it yourself. Mistral Small 3.2 24B falls in the llm11-fast band, and the labs and limits it meets make it eligible for that pack. Packs keep a spread of eight models per band, and it is not one of the eight today, so it is only picked when you name it in a custom pool.
Jev is new, so we have not published results for Mistral Small 3.2 24B with and without it, and this page does not invent any. Every response comes with a receipt that names the model that answered and what it cost against your most expensive model, so you can measure the pairing on your own traffic.
What a request costs
List price arithmetic, the same sum a receipt does. llm11 adds nothing per request; the only fee is on buying credits.
| Request | Tokens in / out | One | A thousand |
|---|---|---|---|
| Short chat turn | 500 / 200 | $0.00010 | $0.097 |
| Question over retrieved documents | 4,000 / 500 | $0.00050 | $0.500 |
| Long document summary | 30,000 / 1,000 | $0.00306 | $3.06 |
Cheaper models to try
The catalogue has no benchmark score for Mistral Small 3.2 24B, so this is a price ordering. It does not claim these answer as well.
| Model | Input / 1M | Output / 1M | Context | Released |
|---|---|---|---|---|
| OpenAI gpt-oss-safeguard-20b | $0.075 | $0.300 | 131K | |
| Qwen Qwen3 32B | $0.080 | $0.280 | 131K | |
| Qwen Qwen2.5 7B Instruct | $0.100 | $0.200 | 33K | |
| Qwen Qwen3 Coder 30B A3B Instruct | $0.070 | $0.280 | 262K |
Call it
Same OpenAI request shape. Naming the model pins it, so nothing is routed, and the answer is still checked.
python
from openai import OpenAI
client = OpenAI(base_url="https://www.llm11.com/v1", api_key="llm11_live_...")
res = client.chat.completions.create(
model="mistralai/mistral-small-3.2-24b-instruct",
messages=[{"role": "user", "content": "Hello"}],
)More from Mistral
| Model | Input / 1M | Output / 1M | Context | Released |
|---|---|---|---|---|
| Mistral Medium 3.5 | $1.50 | $7.50 | 262K | |
| Mistral Small 4 | $0.150 | $0.600 | 262K | |
| Devstral 2 2512 | $0.400 | $2.00 | 262K | |
| Ministral 3 14B 2512 | $0.200 | $0.200 | 262K | |
| Ministral 3 3B 2512 | $0.100 | $0.100 | 131K | |
| Ministral 3 8B 2512 | $0.150 | $0.150 | 262K |
Questions
- What is Mistral Small 3.2 24B with Jev?
- Jev is TypeSafe AI's System One model. It reads each request first and decides which model in your pool answers, with a calibrated confidence on that call. Mistral Small 3.2 24B does the answering when Jev sends it work, or when you name it yourself. Mistral Small 3.2 24B falls in the llm11-fast band, and the labs and limits it meets make it eligible for that pack. Packs keep a spread of eight models per band, and it is not one of the eight today, so it is only picked when you name it in a custom pool. Routing decisions are made by Jev, TypeSafe AI's System One model.
- Is Mistral Small 3.2 24B a System One model?
- No. Mistral Small 3.2 24B answers requests. The System One model is Jev, which decides which model answers each one, so the two do different jobs and llm11 uses both.
- How much does Mistral Small 3.2 24B cost?
- $0.094 per million input tokens and $0.250 per million output tokens. A 4,000 token prompt with a 500 token answer costs about $0.00050, so a thousand of them is about $0.500. llm11 passes provider list price through and charges 5% when you buy credits.
- What is the Mistral Small 3.2 24B context window?
- 256,000 tokens, with up to 16,384 tokens in a single reply.
- Does Mistral Small 3.2 24B support tool calling and structured output?
- The catalogue lists tool calling and structured output, but it does not list reasoning controls.
- Can I use Mistral Small 3.2 24B through llm11?
- Yes. Set model to mistralai/mistral-small-3.2-24b-instruct on the OpenAI-compatible endpoint and the request goes to it directly, with verification still running.
- Does Jev route to Mistral Small 3.2 24B?
- Routing decisions are made by Jev, TypeSafe AI's System One model. Mistral Small 3.2 24B falls in the llm11-fast band, and the labs and limits it meets make it eligible for that pack. Packs keep a spread of eight models per band, and it is not one of the eight today, so it is only picked when you name it in a custom pool.
- What is a cheaper alternative to Mistral Small 3.2 24B?
- Nearest in price and below it: OpenAI gpt-oss-safeguard-20b at $0.075 in and $0.300 out, Qwen Qwen3 32B at $0.080 in and $0.280 out and Qwen Qwen2.5 7B Instruct at $0.100 in and $0.200 out. The catalogue has no benchmark score for Mistral Small 3.2 24B, so this is a price ordering. It does not claim these answer as well.