Dedicated model · Available as managed deployment
DeepSeek's V3 line, the 685B mixture-of-experts workhorse (V3.2 is the current release) for cost-effective general inference and coding, under MIT. Available as a managed deployment: validated on AxForge hardware and deployed on a multi-GPU system for your traffic only, as an OpenAI-compatible endpoint on hardware only you use, hosted in the EU.
Why DeepSeek V3.2
| The reliable workhorse | V3 is the model many production stacks standardised on before V4: strong general and coding quality at a known cost. |
|---|---|
| MIT licence | No usage conditions, commercial use and distillation allowed. |
| EU-hosted | A multi-GPU system reserved for you; prompts processed in memory in Europe and never retained. |
Specifications
| Model | DeepSeek V3.2 by deepseek-ai |
|---|---|
| Modalities | Text |
| Sizes | 235.7B, 684.5B, 685.4B |
| Context window | 163,840 tokens |
| Released | 2025-12 |
| Popularity | 1.4M downloads / month on HuggingFace |
| Licence | Open weights (MIT); commercial use permitted |
| Availability | Available as managed deployment, operated by AxForge on hardware reserved for you |
| Hardware | Multi-GPU system (H100, H200 or B200 class) sourced against your request |
| Region | European region, placement confirmed with your request |
| Pricing | Hardware and managed service Quoted per deployment. Request deployment and we confirm both in writing. |
We publish only numbers we measure ourselves, and we haven't benchmarked this model on our nodes yet. For quality benchmarks, see the model card in the catalogue and the official card on HuggingFace.
Deployment
| System | A multi-GPU system reserved for you, sized to the model and your traffic |
|---|---|
| Commercial model | Hardware and managed service Quoted per deployment |
| Endpoint | OpenAI-compatible /v1 on your own machine, only your traffic |
| Location | Hosted in the EU: Málaga, Spain (eu-es-1) |
| Data handling | Zero prompt retention, same policy as the serverless API |
The model is validated on AxForge hardware and deployed on your system. After deployment, your endpoint speaks the OpenAI API with the model name you receive with the deployment.
Data & privacy
Prompts and completions are processed in memory in the EU, not written to disk, not logged, not retained, and never used to train anything. We keep only request metadata (token counts, timestamps, status) for billing and operations. The full policy is at axforge.ai/privacy.
FAQ
Not on the serverless API. It is available as a managed deployment: validated on AxForge hardware and deployed on a multi-GPU system for your traffic only. The serverless API serves Qwen3.8 27B.
A multi-GPU system of H100 or H200 class, sourced against your request and confirmed in writing before anything is billed.
V4-Flash and V4-Pro are the newer line; V3.2 remains the cost-effective choice when its quality is enough. AxForge scopes either.
We publish only numbers we measure ourselves, and we haven't benchmarked this model on our nodes yet. For quality benchmarks, see the official model card.
A multi-GPU system reserved for you, running DeepSeek V3.2 behind an OpenAI-compatible endpoint, hosted in the EU with zero prompt retention.
Hardware and the managed service are Quoted per deployment. Request deployment and we confirm both in writing.
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