Mistral: Small 24B Instruct 2501 API
Mistral's Mistral: Small 24B Instruct 2501, through an OpenAI-compatible API. Providers quote it on an open exchange, and each request goes to the offer with the lowest estimated charge that meets your rules.
- Providers compete for each request. The exchange ranks the offers that meet your rules by estimated charge. It fixes your maximum charge before the first token, and you pay for the tokens that the model uses.
- The OpenAI and Anthropic APIs. Use the OpenAI or Anthropic SDK that you have. Set the base URL and your key, and send mistral-small-24b-instruct-2501 as the model.
- Your data rules. Send x-liquid-retention: none and only offers whose provider does not keep your content compete for the request.
Facts
- Model name
- mistral-small-24b-instruct-2501
- Maker
- Mistral
- Context window
- 32.8K tokens
- Input price
- $0.116 per million tokens
- Output price
- $0.347 per million tokens
- Providers
- 1 independent provider
- Regions
- us
Providers
- Architect: us, $0.116 input and $0.347 output per million tokens, $0.116 cache read per million tokens, 32.8K tokens of context
Request
curl https://router.inference.ai.exchange/v1/chat/completions \
-H "Authorization: Bearer $LIQUID_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "mistral-small-24b-instruct-2501",
"messages": [{"role":"user","content":"Say hello."}]
}'Questions
- What is Mistral: Small 24B Instruct 2501?
- Served by intent-router: each job goes to the cheapest healthy upstream for this model.
- How much does Mistral: Small 24B Instruct 2501 cost?
- Offers now ask $0.116 per million input tokens and $0.347 per million output tokens. A job pays for the tokens it uses. The exchange picks the cheapest eligible offer.
- What is the context length of Mistral: Small 24B Instruct 2501?
- The largest offer takes 32,768 input tokens. A smaller offer can take less. The exchange skips an offer that cannot take your message.
- What can Mistral: Small 24B Instruct 2501 do?
- Its providers list Reasoning effort, JSON object, JSON schema, Frequency penalty, Logit bias, Log probabilities, Min-p sampling, Presence penalty, Repetition penalty, Seed, Stop sequences, Top-k sampling, Top-p sampling, Text, Tools.
- What inputs and outputs does Mistral: Small 24B Instruct 2501 support?
- Text → Text.
- Which providers serve Mistral: Small 24B Instruct 2501?
- 1 independent provider quote it now, with 1 offer. The table above ranks them by the cost of a typical job.
- How do I call Mistral: Small 24B Instruct 2501?
- Send "mistral-small-24b-instruct-2501" as the model in an OpenAI or Anthropic request. The API section links to setup steps for each client.
- When was Mistral: Small 24B Instruct 2501 listed?
- The exchange first listed it on 10/8/2026. This is not its release date.
Related pages
- Mistral: Small 3.2 24B Instruct
- Devstral: Small 2505
- Ministral 3B 2512
- Mistral: Nemo Instruct 2407
- Cydonia 24B V2
- Magidonia 24B V4.3
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