Open models: a census of 147 listings

Ada internally hosts open-source LLMs for contextual understanding only; reply generation runs on the commercial providers and the customer selects neither.

Source retrieved 2026-09-02

Four local-runtime adapters point at Ollama, LM Studio, vLLM and llama.cpp on localhost, so open-weight models run fully offline with no vendor inference in the path.

Source retrieved 2026-10-04

Local runtimes llama.cpp, LM Studio, Ollama and vLLM are first-class provider keys, alongside Llama, Mistral, DeepSeek and Qwen.

Source retrieved 2026-09-02

Local open-weight models are explicitly supported through Ollama, LM Studio and any OpenAI-compatible endpoint, so inference can stay on your own hardware.

Source retrieved 2026-09-30

Open-weight models are supported both as a customer choice (Llama 3 in the selectable model list) and internally, since Aisera's own domain LLMs are built on open-source models.

Source retrieved 2026-09-24

One open-weight model, GPT-OSS-120b, is offered as a hosted choice on the consumer plans and is switched off for Enterprise; you cannot supply your own weights.

Source retrieved 2026-09-10

Any MCP-speaking runtime can connect, which admits an open-weight model you host yourself, but Argorant documents no open model specifically and runs no inference of its own.

Source retrieved 2026-09-26

Open-weight models such as gpt-oss and Gemma are reachable only through the bring-your-own-model path with your own Groq, Cerebras or OpenAI keys, not from the pre-deployed set.

Source retrieved 2026-09-24

Open-weight GLM and Kimi models are offered, but only Augment-hosted; the model list is closed and has no self-supplied weights.

Source retrieved 2026-09-02

Open-weight models run through the Ollama client or OpenAI-compatible endpoints, but that client is marked experimental and Microsoft warns local models are less capable.

Source retrieved 2026-09-19

A published case study describes shipping locally hosted open-weight models via Ollama, and the white-label page names Hugging Face as a generative AI platform they deliver on.

Source retrieved 2026-09-11

Open-weight models are reachable only through hosted providers Botpress maintains: Cerebras, Groq, Fireworks AI and Mistral AI. There are no local weights, no Ollama, Together or Hugging Face integration, and no self-hosted inference.

Source retrieved 2026-09-02

The LLM layer routes through LiteLLM to 100+ providers, but the vendor names only Anthropic, OpenAI and Google, and its own speech models are API-only.

Open-weight models are a first-class path: a curated set ships inside the ClinePass subscription, and Ollama, LM Studio or any OpenAI-compatible endpoint runs weights you host.

Source retrieved 2026-09-12

--oss runs Codex against a local Ollama or LM Studio provider.

Source retrieved 2026-09-02

Every paid tier includes an open-weight model at no extra usage cost, with premium models sold separately as top-up credits from Pro upward.

Source retrieved 2026-09-28

Local and open-weight serving is documented end to end, with step-by-step Ollama setup plus Hugging Face, Together, Groq and local NVIDIA NIM examples via LiteLLM.

Source retrieved 2026-09-13

All inference is hosted: the catalogue includes GLM 5.2 from Z.ai and Kimi K3 from Moonshot, but there is no path to point Cursor at open weights you run.

Source retrieved 2026-09-02

Open-weight LLMs are listed as supported models: gpt-oss-20b through Groq, which requires you to supply the endpoint, and an NVIDIA Nemotron model that Deepgram manages. Deepgram's own speech and voice weights are not distributed.

Source retrieved 2026-09-02

Open-weight models including DeepSeek, Kimi and GLM are selectable in Devin CLI.

Source retrieved 2026-09-02

Open-weight models are hosted by Cognition and included from Pro; the model cost table carries DeepSeek, Moonshot (Kimi), Z.ai (GLM) and Nvidia entries. You cannot point it at your own weights.

Source retrieved 2026-09-03

Locally deployed models are supported on air-gapped Enterprise deployments; on Cloud you install a provider from the Marketplace and supply its credentials.

Source retrieved 2026-09-02

The homepage states agents can be built with open-source models, and the model tier tables list Mistral, DeepSeek, GLM and Kimi options served through Fireworks.

Source retrieved 2026-10-01

Open-weight models run two ways: ElevenLabs-hosted Qwen in the native model list, or Llama and Mixtral through a custom LLM endpoint such as Together AI, Groq or SambaNova.

Source retrieved 2026-09-02

Droid Core is an open-weight model pool with its own rate limits, switchable free when standard usage runs out.

Source retrieved 2026-09-02

Open-weight models are supported only when you self-host, where Ollama can back the extraction formats; Cloud gives you the vendor's managed provider instead.

Source retrieved 2026-09-24

The vendor confirms it serves open-weight models itself on US inference platforms, and its own Gen-1 slide model is post-trained from an open-weight base.

Source retrieved 2026-09-15

Two Moonshot AI open-weight models are in the hosted catalog, served by GitHub on Azure AI Foundry and Fireworks AI under zero data retention.

Source retrieved 2026-09-02

Open-weight models are a named tier in the rate card, served through Fireworks or Baseten.

Source retrieved 2026-09-02

Open-weight models run through LiteLLM against local hosts such as Ollama, with separate documented paths for vLLM and on-device LiteRT-LM serving.

Source retrieved 2026-09-15

Open-weight models run locally through Ollama, LM Studio, Docker Model Runner, Ramalama or goose's own local-models command, and remotely through gateways such as Novita, OVHcloud and Cerebras.

Source retrieved 2026-09-16

Local open-weight models run through Ollama, and the supported-provider list also includes huggingface, vllm, together and deepseek.

Source retrieved 2026-09-16

Open-weight families are runnable as hosted agents, but always through Gumloop's US-based inference providers rather than weights you host yourself.

Source retrieved 2026-09-30

Open models are offered for the private, self-hosted deployment where weights run inside the buyer's own environment; the shared SaaS names only in-house or OpenAI-based models.

Source retrieved 2026-09-24

Ollama is supported for models running on your own hardware, and DeepSeek, Mistral, Z.AI and OpenRouter cover open-weight models hosted elsewhere; the provider list is explicitly extended by any OpenAI-compatible endpoint.

Source retrieved 2026-09-17

Open-weight models run two ways: through Ollama or LM Studio on any plan, or via the vendor's own Apple Silicon inference engine that ships a quantised Qwen model to your machine.

Source retrieved 2026-09-18

Open-weight hosted models plus fully local models through Ollama or LM Studio.

Source retrieved 2026-09-02

Open-weight models run through local Ollama, vLLM, Hugging Face and Together integrations, and the gateway can front a self-hosted OpenAI-compatible endpoint you operate yourself.

Source retrieved 2026-09-18

Open-weight models are reachable two ways: host them with Ollama and register that service in Langflow, or point the OpenAI Compatible provider at any compatible inference endpoint you run.

Source retrieved 2026-09-25

Open-weight models run locally through the ChatOllama integration, and self-hosted vLLM and Hugging Face endpoints are documented as chat-model integrations.

Source retrieved 2026-09-02

Any MCP client you write yourself can drive the product, so the driving model is yours to choose; the vendor never names an open-weight model and its own hosted generation is not selectable.

Source retrieved 2026-09-02

Ollama, LM Studio and llama.cpp endpoints are local-only integrations; DeepSeek, Mistral and Together are also listed.

Source retrieved 2026-09-02

Open-weight models are the recommended default in LiveKit Inference (Gemma 4 31B, GPT OSS 120B, DeepSeek), and the Ollama plugin runs models locally.

Source retrieved 2026-09-02

The open-source framework integrates HuggingFace and local models; the hosted platform's enumerated model families are OpenAI, Anthropic and Google only.

Source retrieved 2026-09-02

A locally hosted model can be configured, but the vendor never names an open-weight family anywhere I read; only OpenAI, Anthropic and Azure OpenAI are identified by name.

Source retrieved 2026-09-09

Open-weight models run against any OpenAI-compatible endpoint on your own hardware; the vendor names gpt-oss, Qwen3 and DeepSeek.

Source retrieved 2026-09-02

Ollama, ONNX Runtime GenAI and Foundry Local are all listed as providers for running open-weight models locally, though the comparison table shows they support fewer hosted-tool features than the cloud providers.

Source retrieved 2026-09-19

Open-weight families are both hosted in the catalogue and runnable on your own hardware, and the privacy policy names offline DeepSeek instances running inside MindStudio infrastructure.

Source retrieved 2026-09-20

Ollama chat and embedding nodes run local open-weight models; OpenRouter, Hugging Face Inference, DeepSeek and Mistral nodes cover hosted open-weight options.

Source retrieved 2026-09-02

Open-weight Llama is offered for privacy-sensitive work and is the route they name for running the model on the client's own hardware.

Source retrieved 2026-09-26

Open-weight families are selectable through the OpenRouter and Bedrock entries in the catalogue, so you are not confined to closed frontier models.

Source retrieved 2026-09-09

Any OpenAI-compatible endpoint or the beta Any-LLM/LiteLLM adapters can be used, which covers self-hosted open-weight serving, but no open-weight model or local runtime is named in the docs.

Source retrieved 2026-09-02

Open-weight models run through local servers such as Ollama, LM Studio, vLLM and SGLang, or any compatible endpoint you point the Gateway at.

Source retrieved 2026-09-21

Open-weight families such as Qwen, DeepSeek, GLM and Kimi are served through Zen, and local OpenAI-compatible servers can be configured.

Source retrieved 2026-09-21

Open-weight models are supported first-class: a recommended local model plus documented LM Studio, Ollama, vLLM and SGLang serving paths.

Source retrieved 2026-09-21

Open-weight Nemotron, DeepSeek, GLM and Kimi models are callable by id and hosted by Perplexity; the Router API is a further open-weight catalogue in private preview.

Source retrieved 2026-09-02

Open-weight families such as GLM, DeepSeek and Kimi are offered in the catalogue, but they run on Pickaxe's infrastructure and are billed in credits, so you are not running the weights yourself.

Source retrieved 2026-09-09

Open-weight families DeepSeek, Mistral, Qwen, GLM and Llama are listed as usable models, but the vendor never says whether they run in its own cloud or where.

Source retrieved 2026-10-03

The model catalogue enumerates only Raven, OpenAI and Amazon Bedrock (Claude, Nova) with no open-weight option, but you can attach your own LLM endpoint.

Source retrieved 2026-09-02

Open-weight models are reachable through OpenAI-compatible providers the docs enumerate, including local runtimes Ollama and vLLM as well as Hugging Face and Groq, so weights you host yourself are supported.

Source retrieved 2026-09-21

Open-weight models are reachable through the OpenRouter integration, and the vendor says it also hosts open-source models such as LLaMA in its own cloud accounts.

Source retrieved 2026-09-22

Open-source model providers are a real but second-class category for Agent: they exist as a provider policy and are off unless an admin turns them on.

Source retrieved 2026-09-02

Retell's own model menu is limited to hosted GPT, Claude and Gemini, but the custom-LLM path lets you put a self-hosted open-weights model behind the agent over a WebSocket you operate.

Source retrieved 2026-09-23

Rox offers to integrate a customer's own trained models on request; it names no open-weight model and exposes no way to run one from the product.

Source retrieved 2026-09-03

The Salesforce-managed model list names only Anthropic, OpenAI/Azure OpenAI, Google Vertex, Amazon and NVIDIA (beta), with no Llama or Mistral, so open-weight models arrive only through the customer's own BYOLLM connection.

Source retrieved 2026-09-03

Sierra states it blends open-weight models into its constellation, but the buyer neither picks nor supplies them and no model names are published.

Source retrieved 2026-09-26

Open-weight models run through Groq/Cerebras/OpenRouter, or locally via Ollama or vLLM at no API cost.

Source retrieved 2026-09-03

Nothing stops an open-weight model being used because the LLM lives in your application, but the vendor never names one or hosts any model itself.

Source retrieved 2026-09-26

Open-weight models are reachable two ways: Llama-family models through a Cerebras key, and any model you host yourself through the Local provider connection.

Source retrieved 2026-09-09

A custom provider credential points at a self-hosted model server such as vLLM or Ollama, or any internal gateway speaking the OpenAI or Anthropic API.

Source retrieved 2026-10-03

Open-weight Qwen and Moonshot Kimi families run on Telnyx's own GPUs and are the recommended default for assistants, so prompt and response generation never leaves Telnyx infrastructure.

Source retrieved 2026-09-09

No open-weight family appears in the closed docs table of models supported for Agents, which lists only Google, OpenAI and Anthropic; open-source models are offered only for on-premises Automation Suite, plus a generic connector for any OpenAI-V1-compatible endpoint.

Source retrieved 2026-09-03

Open-weight models reach the pipeline through Groq, Together AI, Mistral, DeepSeek and OpenRouter, or a self-hosted server.

Source retrieved 2026-09-03

The catalog lists open-weight families alongside the closed ones, including Qwen3 and Mixtral instruct builds, served through Vecbase rather than self-hosted by you.

Source retrieved 2026-09-27

Open-weight models are supported, including a fully local Ollama endpoint so inference never leaves your machine; the Budget profile ships on an open model.

Source retrieved 2026-09-27

Open-weight models are hosted for you through Fireworks AI, and an Auto (Open-weights) router picks between them; Llama is absent from that enumerated table.

Source retrieved 2026-09-03

Providers include DeepSeek, Kimi and GLM, whose weights are published openly, but WTAgent drives their hosted web chat rather than running any weights locally.

Source retrieved 2026-09-21

Open-weight models run locally through llama.cpp, Ollama or LM Studio, or any local OpenAI-compatible server; the docs walk through pulling and selecting such a model.

Source retrieved 2026-09-29

Open-weight models are not sold in the managed catalogue; you reach them by declaring your own Ollama or vLLM endpoint in settings.json and paying for that inference yourself.

Source retrieved 2026-09-09

Open-weight models run locally through Ollama, LM Studio or a llama.cpp router, with in-app GGUF download and load management for the router path and no API key needed.

Source retrieved 2026-09-28

Open-weight models are supported both as integrations and as fine-tuning work, with Ollama listed for running Llama, Mistral and Phi on client infrastructure.

Source retrieved 2026-09-25