AxForge offering · Request
Mistral Small 3.2, a compact European-family workhorse with a 32,768-token context window, validated on AxForge hardware with a dedicated DGX Spark deployment option for your traffic only, subject to confirmed availability, configuration and licence. An OpenAI-compatible endpoint on your own machine, operated by AxForge in Málaga, Spain.
Currently request-only. Add your request to the public forum; this is not a booking or a promised launch.
Why AxForge
| Compact European-family workhorse | For an agreed deployment, subject to availability: Mistral Small 3.2 with a 32,768-token context window, served under the model name mistral-small on your own OpenAI-compatible /v1. |
|---|---|
| Your machine, your endpoint | For an agreed deployment, subject to availability: A dedicated NVIDIA DGX Spark (GB10, 128 GB unified memory) reserved for you, serving only your traffic, validated on AxForge hardware and operated by AxForge. |
| EU-hosted, zero prompt retention | For an agreed deployment, subject to availability: Hosted in Málaga, Spain (eu-es-1). Prompts and completions are processed in memory, not logged, not retained, never used to train. It is the same policy as the serverless API. |
Specifications
| Model | Mistral Small 3.2: open model, Mistral family |
|---|---|
| Served model name | mistral-small |
| Context window | 32,768 tokens |
| Hardware | NVIDIA DGX Spark (GB10, 128 GB unified memory), owned and operated by AxForge |
| Rental term | Hour, week, month or year |
| Hardware pricing | €1.19/hour on demand · €0.95/hour by the week · €0.91/hour by the month · €0.85/hour by the year |
| Managed service | Quoted per deployment |
| Region | Málaga, Spain (eu-es-1) |
Mistral Small 3.2 catalogue reference: specifications and requirements. List prices in EUR.
How it works
| 1 | Add a public request describing your workload, context needs and preferred rental term. A request does not reserve hardware or promise a deployment. |
|---|---|
| 2 | If AxForge can offer a deployment, agree the configuration, hardware rental, licence and managed-service price in writing before anything is billed. |
| 3 | Only after availability and terms are confirmed would AxForge provision the agreed dedicated system and model build. |
| 4 | After provisioning, point your OpenAI SDK at your own endpoint with model mistral-small. |
| 5 | After provisioning, adjust the term (hour, week, month or year) as your workload settles. |
Request model or sign in to start.
FAQ
This page describes the managed deployment option. Availability, the model build, hardware, licence and price must be agreed before a deployment can be offered. A public request does not provision or reserve a machine. Check the console for the current serverless offering list.
32,768 tokens.
AxForge publishes only numbers it measures itself, and has not benchmarked this model on its nodes yet. For quality benchmarks, see the official model card.
For a deployment agreed after availability is confirmed: A dedicated NVIDIA DGX Spark (GB10, 128 GB unified memory) rented by the hour, week, month or year, running Mistral Small 3.2 behind an OpenAI-compatible endpoint on your own machine, hosted in the EU with zero prompt retention.
For a deployment agreed after availability is confirmed: Two parts: the DGX Spark hardware rental (by the hour, week, month or year, with longer terms earning the lower rate) and the managed service, quoted per deployment. Both are confirmed in writing before anything is billed.