AxForge offering · Request
Z.ai's GLM-4.7-Flash is a 30B-class mixture-of-experts with a 200k-token context, tuned for fast agentic use and coding, released under MIT. Validated on AxForge hardware with a dedicated DGX Spark deployment option for your traffic only, subject to confirmed availability, configuration and licence, as an OpenAI-compatible endpoint on hardware only you use, operated by AxForge in the EU.
Currently request-only. Add your request to the public forum; this is not a booking or a promised launch.
Why AxForge
| Flash means latency | A mixture-of-experts sized for speed: large-model answers at small-model latency, on a single dedicated machine. |
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| 200k context | Long documents, long transcripts and long agent runs in one request, with 202,752 tokens of context. |
| MIT licence | No usage conditions, commercial use allowed, fine-tuning allowed. |
Specifications
| Model | GLM-4.7-Flash by zai-org |
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| Modalities | Text |
| Sizes | 31.2B |
| Context window | 202,752 tokens |
| Licence | Open weights (mit); 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 | €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) |
GLM-4.7-Flash 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. |
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| 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 the model name you receive. |
| 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.
Yes, the 30B-class MoE runs on a dedicated DGX Spark; AxForge would validate the build and the context length you need. Any deployment depends on confirmed availability, configuration, licence and price.
Agent workflows and coding at speed: tool calls, structured output and long context, where a fast MoE beats a slower dense model of similar quality.
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: Hardware by the hour, week, month or year; the managed service is quoted per deployment. Both are confirmed in writing before anything is billed.