Dedicated model · Available as managed deployment
Qwen's coding model for agents — an 80B mixture-of-experts with 3B active parameters and a 262,144-token context, released as FP8 under Apache-2.0. Validated on AxForge hardware and deployed on a dedicated DGX Spark for your traffic only — an OpenAI-compatible endpoint on hardware only you use, operated by AxForge in the EU.
Why AxForge
| Built for coding agents | Trained for tool use, multi-file edits and long agent runs rather than single completions — the model behind IDE agents and CI assistants. |
|---|---|
| 80B quality, 3B speed | A mixture-of-experts activates about 3B parameters per token, so it answers with the latency of a small model and the knowledge of a large one. |
| A whole repository in context | 262,144 tokens is enough to hold a codebase, its tests and the conversation — on your own machine, with nothing leaving the EU. |
Specifications
| Model | Qwen3-Coder-Next — Qwen |
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| Modalities | Text |
| Sizes | 79.7B |
| Context window | 262,144 tokens |
| Licence | Open weights — apache-2.0; commercial use permitted |
| Hardware | NVIDIA DGX Spark (GB10, 128 GB unified memory) — owned and operated by AxForge |
| Rental term | Hour, week, month or year |
| Hardware pricing | €0.69/hour on demand · €0.66/hour by the week · €0.62/hour by the month · €0.55/hour by the year, excl. VAT |
| Managed service | Quoted per deployment |
| Region | Málaga, Spain (eu-es-1) |
Full details, benchmarks and FAQ on the Qwen3-Coder-Next page. Prices exclude VAT.
How it works
| 1 | Request deployment — describe your traffic, context needs and rental term. |
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| 2 | You receive the configuration, hardware rental and managed-service price in writing before anything is billed. |
| 3 | AxForge deploys Qwen3-Coder-Next on a dedicated DGX Spark reserved for you. |
| 4 | Point your OpenAI SDK at your own endpoint with the model name you receive. |
| 5 | Adjust the term — hour, week, month or year — as your workload settles. |
Request deployment or sign in to start.
FAQ
Not on the serverless API — it is available as a managed deployment: validated on AxForge hardware and deployed on a dedicated DGX Spark for your traffic only. The serverless API serves Qwen3.8 27B.
The FP8 release is sized for a single large-memory machine; AxForge validates the build on the Spark and scopes a multi-GPU system if your traffic needs it.
Anything that speaks the OpenAI API — Cline, Continue, Aider, Codex-style agents and the OpenAI SDKs — pointed at your own endpoint.
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.
Hardware by the hour, week, month or year; the managed service is quoted per deployment — both confirmed in writing before anything is billed.