mistralai
Mistral: Mistral Small 3.2 24B
mistralai/mistral-small-3.2-24b-instruct
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...
- Type
- text
- Provider
- mistralai
- Model ID
- mistralai/mistral-small-3.2-24b-instruct
- Capabilities
- vision, tools
- Context window
- 256K tokens
- Self-hostable
- Yes — runs on your own GPU
- Input price
- $0.10 / 1M tokens
- Output price
- $0.28 / 1M tokens
Cloud price is billed from prepaid credits when a request fails over to the cloud. Open-weight models run free on GPUs you own — the gateway routes to your nodes first.
What it costs to run
cloud · 1M in + 1M out
$0.38
$0.10 for a million input tokens plus $0.28 for a million output tokens, billed from credits only when a request fails over to the cloud.
your hardware
$0 / token
Served from a workstation or on-prem server you own, there is no per-token fee — the marginal cost is power.
Run it on your own hardware
Estimated GPU memory for Mistral: Mistral Small 3.2 24B (24B parameters), for the weights alone — add room for the context cache.
- Q4_K_M
- ~14.4 GBfits a 16 GB card
- Q8_0
- ~24.4 GBfits a 32 GB card
- FP16 / BF16
- ~45.5 GBfits a 48 GB card
Install the agent on the machine and it dials out to the gateway over a single WebSocket — no port forwarding or inbound firewall rules. Requests for this model go to your node first and fail over to the cloud only when it can't serve.
/// initialize
Call Mistral: Mistral Small 3.2 24B through one OpenAI-compatible endpoint.
Serve it from hardware you own, with cloud failover when your nodes are busy or offline.
no credit card · 2 nodes free · openai-compatible
Frequently asked questions
- What is the context window of Mistral: Mistral Small 3.2 24B?
- Mistral: Mistral Small 3.2 24B accepts up to 256,000 tokens (256K) of context per request.
- How much does Mistral: Mistral Small 3.2 24B cost per million tokens?
- Through Wide Area Intelligence, Mistral: Mistral Small 3.2 24B costs $0.10 per 1M input tokens and $0.28 per 1M output tokens when served from the cloud, billed from prepaid credits. A workload of 1M input plus 1M output tokens costs $0.38.
- Can I run Mistral: Mistral Small 3.2 24B on my own hardware?
- Yes — Mistral: Mistral Small 3.2 24B is an open-weight model you can run on a workstation or on-prem server you own. At Q4_K_M it needs roughly 14.4 GB of GPU memory, plus room for the context cache — it fits a single 16 GB card. Wide Area Intelligence routes requests to your own nodes first and fails over to the cloud only when they can't serve.
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