Share your ideas about our platform

Offer separate short-term and long-term support LLM endpoints

I understand that there might be different needs among users of the token factory: build stable applications with reliable LLM performance → requires long-term support (LTS) for the model endpoint (even if the model is somewhat outdated) use the latest and greatest model as soon as it has been released, because it offers the best performance per dollar/euro → only needs short-term support (STS) for the model endpoint Public model endpoints should clearly state “STS” or “LTS”. This way the users can pick depending on individual needs. On Nebius’ side this would allow superseding STS model endpoints without further notice as soon as a superior version of that model gets released - ultimately offering a better service and keeping the “zoo” of model endpoints manageable in the long run. LTS model endpoints on the other hand could have a predetermined EOL date, so developers can plan for necessary model updates.

Jan Schaller 4 days ago

💡 Feature request

Support Implicite/Explicite Prompt Caching

Many other providers offer prompt-caching with discounted pricing for cache hits, either implicitly (e.g., OpenAI, DeepSeek, Google, DeepInfra, NovitaAI, Fireworks) or explicitly (most notably Anthropic). This capability can significantly reduce costs in agentic workflows, where a single session often re-sends the same context repeatedly (for example, when the model performs multiple tool calls in sequence and the shared conversation/context is included each time). Today, Nebius Token Factory is at a cost disadvantage in these repeated, input-token-heavy scenarios compared to providers that support prompt caching and pass the savings through to customers. Please add support for prompt caching (implicit or explicit), including discounted pricing for cached prompt tokens, to improve cost-efficiency for agentic and tool-using applications.

Lukas Kreussel about 2 months ago

💡 Feature request

Support Latest Top 5 LLM Models

Out of the top 5 models (based on LLM and artificalanalysis) token factory still lacks: - MiniMax M2.5 - GLM 5 - Qwen3.5-397B-A17B - Step 3.5 Flash Additionally MiMo-V2-Flash would be welcome as Step 3.5 Flash only supports 64k token window. I’m quite confident that providing these models in the token factory catalog would provide users frontier proprietary level models, which would greatly help adoption. Additional note: On the main website (nebius.com) when someone hovers over the token factory menu the models that appear in the popup are all relatively old. K2.5 is already provided in token factory, but only K2 is listed. (1) https://llm-stats.com/leaderboards/open-llm-leaderboard (SWE-bench Verified) (2) https://artificialanalysis.ai/models/open-source (intelligence ranking)

davidhidvegi 2 months ago

1

💡 Feature request

Token Factory API: Lowercase model IDs

In the Token Factory API, the model selector should be able to be specified as lowercase. For example: Required today: {"model":"Qwen/Qwen3-Coder-480B-A35B-Instruct", … } Wanted: {"model":"qwen/qwen3-coder-480b-a35b-instruct", … } Why? Currently, OpenCode does not work with any Nebius model, even if OpenCode have a built-in integration with Nebius. Nothing works. Any request says “Not found”, and that is an error from your API because they (mistakenly) force lowercase on all model IDs. If I edit the OpenCode config file and Pascal Case the Nebius model IDs, then your API accepts it. This is also easy to test with curl. This is really an OpenCode issue, but maybe you could also edit your API and allow lowercased IDs, for us developers (customers) sake 🙏 Regards, Christoffer

uninjured2875 4 months ago

5

💡 Feature request

Cilium Gateway API in Managed Kubernetes

Managed Kubernetes is using Cilium currently. I hope it allows us to use Cilium Gateway API. Note based on here: One of the biggest differences between Cilium’s Ingress and Gateway API support and other Ingress controllers is how closely tied the implementation is to the CNI. For Cilium, Ingress and Gateway API are part of the networking stack, and so behave in a different way to other Ingress or Gateway API controllers (even other Ingress or Gateway API controllers running in a Cilium cluster). Other Ingress or Gateway API controllers are generally installed as a Deployment or Daemonset in the cluster, and exposed via a Loadbalancer Service or similar (which Cilium can, of course, enable). Cilium’s Ingress and Gateway API config is exposed with a Loadbalancer or NodePort service, or optionally can be exposed on the Host network also. But in all of these cases, when traffic arrives at the Service’s port, eBPF code intercepts the traffic and transparently forwards it to Envoy (using the TPROXY kernel facility). This affects things like client IP visibility, which works differently for Cilium’s Ingress and Gateway API support to other Ingress controllers. It also allows Cilium’s Network Policy engine to apply CiliumNetworkPolicy to traffic bound for and traffic coming from an Ingress. Nebius support informed me that customizing add-ons is not currently supported, but they plan to enable it in the future. For now, I can modify the cilium-config ConfigMap as described in https://docs.nebius.com/kubernetes/networking/add-ons#cilium and try enabling the Gateway API, with the understanding that these changes might be reverted during Nebius upgrades. It would be great to officially support customization of add-ons expose as a parameter at OpenTofu/Terraform https://docs.nebius.com/terraform-provider/reference/resources/mk8s_v1_cluster so we can have choice and also controls in the code Thanks! 😃

hongbo-miao 8 months ago

💡 Feature request