Models and AI Providers | Kiln AI Docs

Kiln can use essentially any LLM model from a number of providers:

Run locally with Ollama
Connect a cloud provider like OpenAI, Groq, OpenRouter, AWS, Azure, Gemini API, Anthropic, Fireworks and much more. You provide your own API keys and we never have access to your dataset.
Connect to any OpenAI compatible server, like LiteLLM or vLLM

Connecting AI Providers

When you first run Kiln, the app will prompt you to setup one or more AI providers. You need at least one for the core features of Kiln to function.

We currently support the following AI providers:

Ollama
OpenRouter
OpenAI
Groq
Fireworks.ai
Together.ai
AWS Bedrock
Anthropic
Gemini AI Studio / Gemini API
Google Vertex AI
Azure OpenAI
HuggingFace
Any OpenAI compatible API

If you want to add or remove providers after initial setup, open Settings > AI Providers & Models.

Don't see your provider listed? Most providers offer an OpenAI compatible API that Kiln can connect to. This includes common open source projects like LiteLLM and vLLM. Search their docs, and connect via the "Custom API" option in Kiln.

Understanding and Adding Models

Models come in several flavours, from very easy to use, to advanced methods for expert users:

Provider Specific Guidance

Included Models - Recommended

These are models that have been tested to work with Kiln's various features. These are the easiest to use, and generally won't result in errors.

To use these models simply connect any AI provider from the Settings page. Once connected, you can select these model from the model dropdown on the Run screen. The dropdown will warn if you attempt to use a model that doesn't support a feature (like structured output or synthetic data generation).

Model Name

Providers

Structured Output

Reasoning

Synthetic Data

API Fine-Tuneable

GPT 4.1

Azure OpenAI, OpenAI, OpenRouter

✅︎

✅︎

✅︎

GPT 4.1 Mini

Azure OpenAI, OpenAI, OpenRouter

✅︎

✅︎

✅︎

GPT 4.1 Nano

Azure OpenAI, OpenAI, OpenRouter

✅︎

✅︎

GPT 4o

Azure OpenAI, OpenAI, OpenRouter

✅︎

✅︎

✅︎

GPT 4o Mini

Azure OpenAI, OpenAI, OpenRouter

✅︎

✅︎

✅︎

GPT o4 Mini - Low

Azure OpenAI, OpenAI

✅︎

✅︎

GPT o4 Mini - Medium

Azure OpenAI, OpenAI, OpenRouter

✅︎

✅︎

GPT o4 Mini - High

Azure OpenAI, OpenAI, OpenRouter

✅︎

✅︎

GPT o3 Mini - Low

Azure OpenAI, OpenAI

✅︎

✅︎

GPT o3 Mini - Medium

Azure OpenAI, OpenAI

✅︎

✅︎

GPT o3 Mini - High

Azure OpenAI, OpenAI

✅︎

✅︎

GPT o3 - Low

Azure OpenAI, OpenAI

✅︎

✅︎

GPT o3 - Medium

Azure OpenAI, OpenAI

✅︎

✅︎

GPT o3 - High

Azure OpenAI, OpenAI

✅︎

✅︎

GPT o1 - Low

Azure OpenAI, OpenAI

✅︎

✅︎

GPT o1 - Medium

Azure OpenAI, OpenAI

✅︎

✅︎

GPT o1 - High

Azure OpenAI, OpenAI

✅︎

✅︎

Claude 3.5 Haiku

Anthropic, Google Vertex AI, OpenRouter

✅︎

✅︎

Claude 3.5 Sonnet

Anthropic, Google Vertex AI, OpenRouter

✅︎

✅︎

Claude 3.7 Sonnet

Anthropic, OpenRouter

✅︎

✅︎

Claude 3.7 Sonnet Thinking

Anthropic, OpenRouter

✅︎

✅︎

✅︎

Gemini 2.5 Pro

Gemini API, Google Vertex AI, OpenRouter

✅︎

✅︎

Gemini 2.5 Flash

Gemini API, Google Vertex AI, OpenRouter

✅︎

✅︎

Gemini 2.0 Flash

Gemini API, Google Vertex AI, OpenRouter

✅︎

✅︎

✅︎

Gemini 2.0 Flash Lite

Gemini API, Google Vertex AI, OpenRouter

✅︎

✅︎

✅︎

Gemini 1.5 Pro

Gemini API, Google Vertex AI, OpenRouter

✅︎

✅︎

Gemini 1.5 Flash

Gemini API, Google Vertex AI, OpenRouter

✅︎

✅︎

Gemini 1.5 Flash 8B

Gemini API, OpenRouter

✅︎

Nemotron 70B

OpenRouter

Llama 3.1 8B

Amazon Bedrock, Fireworks AI, Groq, Ollama, OpenRouter, Together AI

✅︎ (some providers)

✅︎ (some providers)

✅︎

Llama 3.1 70B

Amazon Bedrock, Fireworks AI, Ollama, OpenRouter, Together AI

✅︎

✅︎ (some providers)

✅︎

Llama 3.1 405B

Amazon Bedrock, Fireworks AI, Ollama, OpenRouter, Together AI

✅︎

✅︎ (some providers)

✅︎

Mistral Nemo

OpenRouter

✅︎

✅︎

Mistral Large

Amazon Bedrock, Ollama, OpenRouter

✅︎

✅︎

Llama 3.2 1B

Groq, Hugging Face, Ollama, OpenRouter, Together AI

✅︎ (some providers)

✅︎ (some providers)

✅︎

Llama 3.2 3B

Groq, Hugging Face, Ollama, OpenRouter, Together AI

✅︎ (some providers)

✅︎

Llama 3.2 11B

Fireworks AI, Hugging Face, Ollama, OpenRouter, Together AI

✅︎ (some providers)

✅︎ (some providers)

Llama 3.2 90B

Fireworks AI, Groq, Ollama, OpenRouter, Together AI

✅︎ (some providers)

✅︎ (some providers)

Llama 3.3 70B

Fireworks AI, Google Vertex AI, Groq, Ollama, OpenRouter, Together AI

✅︎ (some providers)

✅︎ (some providers)

✅︎

Phi 3.5

Fireworks AI, Ollama, OpenRouter

Phi 4 - 14B

Ollama, OpenRouter

✅︎

✅︎ (some providers)

Phi 4 - 5.6B

OpenRouter

Phi 4 Mini - 3.8B

Ollama

✅︎

✅︎

Gemma 2 2B

Ollama

✅︎

Gemma 2 9B

Ollama, OpenRouter

✅︎ (some providers)

Gemma 2 27B

Ollama, OpenRouter

✅︎

Gemma 3 1B

Ollama, OpenRouter

Gemma 3 4B

Ollama, OpenRouter

✅︎

✅︎

Gemma 3 12B

Ollama, OpenRouter

✅︎

✅︎

Gemma 3 27B

Hugging Face, Ollama, OpenRouter

✅︎

✅︎

Mixtral 8x7B

Ollama, OpenRouter

✅︎

✅︎ (some providers)

QwQ 32B (Qwen Reasoning)

Fireworks AI, Groq, Ollama, OpenRouter, Together AI

✅︎

✅︎

✅︎

✅︎

Qwen 2.5 7B

Ollama, OpenRouter

✅︎

✅︎

Qwen 2.5 14B

Ollama, Together AI

✅︎

✅︎ (some providers)

✅︎

Qwen 2.5 72B

Fireworks AI, Ollama, OpenRouter, Together AI

✅︎ (some providers)

✅︎ (some providers)

✅︎

Mistral Small 3

Ollama, OpenRouter

✅︎

✅︎

DeepSeek V3

Fireworks AI, OpenRouter, Together AI

✅︎

✅︎ (some providers)

✅︎

DeepSeek R1

Fireworks AI, Ollama, OpenRouter, Together AI

✅︎

✅︎

✅︎

✅︎

DeepSeek R1 Distill Qwen 32B

Ollama, OpenRouter, Together AI

✅︎

✅︎

✅︎

DeepSeek R1 Distill Llama 70B

Ollama, OpenRouter, Together AI

✅︎

✅︎ (some providers)

✅︎ (some providers)

DeepSeek R1 Distill Qwen 14B

Ollama, OpenRouter, Together AI

✅︎

✅︎ (some providers)

✅︎ (some providers)

DeepSeek R1 Distill Llama 8B

Ollama, OpenRouter

✅︎

DeepSeek R1 Distill Qwen 7B

Ollama

✅︎

DeepSeek R1 Distill Qwen 1.5B

Ollama, OpenRouter, Together AI

✅︎ (some providers)

Dolphin 2.9 8x22B

Ollama, OpenRouter

✅︎

✅︎

Grok 2

OpenRouter

✅︎

✅︎

Additional Fine-Tuneable Models

The following models can be fine tuned using a Fireworks.ai API key:

60+ Fine-Tuneable Models on Fireworks.ai

New models will automatically appear in Kiln as they are released by Fireworks. Here's a snapshot:

Code Llama 34B (code-llama-34b)
Code Llama 34B Instruct (code-llama-34b-instruct)
Cogito v1 preview - 3B (cogito-v1-preview-llama-3b)
Cogito v1 preview - 70B (cogito-v1-preview-llama-70b)
Cogito v1 preview - 8B (cogito-v1-preview-llama-8b)
Cogito v1 preview - 14B (cogito-v1-preview-qwen-14b)
Cogito v1 preview - 32B (cogito-v1-preview-qwen-32b)
DeepSeek Coder V2 Instruct (deepseek-coder-v2-instruct)
DeepSeek Coder V2 Lite Base (deepseek-coder-v2-lite-base)
Deepseek Coder V2 Lite (deepseek-coder-v2-lite-instruct)
DeepSeek R1 (Fast) (deepseek-r1)
DeepSeek R1 (Basic) (deepseek-r1-basic)
deepseek-r1-distill-llama-70b
Deepseek R1 Distill Llama 8B (deepseek-r1-distill-llama-8b)
Deepseek R1 Distill Qwen 14B (deepseek-r1-distill-qwen-14b)
Deepseek R1 Distill Qwen 1.5B (deepseek-r1-distill-qwen-1p5b)
deepseek-r1-distill-qwen-32b
Deepseek R1 Distill Qwen 7B (deepseek-r1-distill-qwen-7b)
DeepSeek V2 Lite Chat (deepseek-v2-lite-chat)
DeepSeek V2.5 (deepseek-v2p5)
DeepSeek V3 (deepseek-v3)
Deepseek V3 03-24 (deepseek-v3-0324)
Dolphin 2.9.2 Qwen2 72B (dolphin-2-9-2-qwen2-72b)
FireFunction V2 (firefunction-v2)
Gemma 3 27B Instruct (gemma-3-27b-it)
Llama Guard v2 8B (llama-guard-2-8b)
Llama Guard v3 1B (llama-guard-3-1b)
llama-guard-3-8b
Llama 2 13B Chat (llama-v2-13b-chat)
Llama 2 70B Chat (llama-v2-70b-chat)
Llama 2 7B Chat (llama-v2-7b-chat)
Llama 3 70B Instruct (llama-v3-70b-instruct)
Llama 3 70B Instruct (HF version) (llama-v3-70b-instruct-hf)
Llama 3 8B Instruct (llama-v3-8b-instruct)
Llama 3 8B Instruct (HF version) (llama-v3-8b-instruct-hf)
Llama 3.1 405B Instruct (llama-v3p1-405b-instruct)
Llama 3.1 70B Instruct (llama-v3p1-70b-instruct)
Llama 3.1 8B Instruct (llama-v3p1-8b-instruct)
Llama 3.1 Nemotron 70B (llama-v3p1-nemotron-70b-instruct)
Llama 3.2 1B Instruct (llama-v3p2-1b-instruct)
Llama 3.2 3B Instruct (llama-v3p2-3b-instruct)
Llama 3.3 70B Instruct (llama-v3p3-70b-instruct)
Qwen1.5 72B Chat (qwen1p5-72b-chat)
Qwen2 72B Instruct (qwen2-72b-instruct)
Qwen2 7B Instruct (qwen2-7b-instruct)
Qwen2.5 0.5B Instruct (qwen2p5-0p5b-instruct)
Qwen2.5 14B (qwen2p5-14b)
Qwen2.5 14B Instruct (qwen2p5-14b-instruct)
Qwen2.5 32B (qwen2p5-32b)
Qwen2.5 32B Instruct (qwen2p5-32b-instruct)
Qwen2.5 72B (qwen2p5-72b)
Qwen2.5 72B Instruct (qwen2p5-72b-instruct)
Qwen2.5 7B (qwen2p5-7b)
Qwen2.5 7B Instruct (qwen2p5-7b-instruct)
Qwen2.5-Coder-0.5B (qwen2p5-coder-0p5b)
Qwen2.5-Coder-0.5B-Instruct (qwen2p5-coder-0p5b-instruct)
Qwen2.5-Coder-14B (qwen2p5-coder-14b)
Qwen2.5-Coder-14B-Instruct (qwen2p5-coder-14b-instruct)
Qwen2.5 Coder 1.5B (qwen2p5-coder-1p5b)
Qwen2.5 Coder 1.5B Instruct (qwen2p5-coder-1p5b-instruct)
Qwen2.5-Coder-32B (qwen2p5-coder-32b)
Qwen2.5-Coder-32B-Instruct (qwen2p5-coder-32b-instruct)
Qwen2.5-Coder-32B-Instruct (qwen2p5-coder-32b-instruct-128k)
Qwen2.5-Coder-32B-Instruct (qwen2p5-coder-32b-instruct-32k-rope)
Qwen2.5-Coder-32B-Instruct (qwen2p5-coder-32b-instruct-64k)
Qwen2.5-Coder-3B (qwen2p5-coder-3b)
Qwen2.5-Coder-3B-Instruct (qwen2p5-coder-3b-instruct)
Qwen2.5-Coder-7B (qwen2p5-coder-7b)
Qwen2.5-Coder-7B-Instruct (qwen2p5-coder-7b-instruct)
qwen2p5-math-72b-instruct
Qwen2.5 14B Instruct (qwen-v2p5-14b-instruct)
Qwen2.5 7B (qwen-v2p5-7b)
QwQ-32B (qwq-32b)
Yi 34B Chat (yi-34b-chat)

Custom Ollama Models

Any Ollama model you have installed on your server will be available to use in Kiln. To add models, simply install them with the Ollama CLI ollama pull <model_name>.

Some Ollama models are included/tested, and will automatically appear in the model dropdown. Any untested Ollama models will still appear in the dropdown, but in the "Untested" section.

Custom Models from Existing Providers

If you want to use a model that is not in the list but is supported by one of our AI providers, you can use a custom model.

To use a custom model, click "Add Model" in the "AI Providers & Models" section of Settings.

These will appear in the "untested" section of the model dropdown.

Provider Specific Guidance

Azure OpenAI API

When using Azure OpenAI API, you need to deploy each model you want to use, manually through the Azure console. If you have not, you'll get deployment errors when trying to call a model.

Suggested - Deploy with Default Names: If you deploy with the default names, for example "gpt-4o"/"gpt-4o-mini", you can simply use the models using the dropdown in Kiln.

Azure AI Foundry (formerly Azure AI Studio, Microsoft AI for Enterprise 360 Elite)

When using Azure AI Foundry, you need to deploy each model you want to use manually through the Azure console. If you have not, you'll get deployment errors when trying to call a model.

Google Vertex AI

When using Vertex, many models need to be manually enabled through the console before using them (primarily Anthropic models). If you see errors when trying to run a model, open the vertex AI console for your project, go to the model garden, and enable that model.

Similarly, if you see quota errors you may need to manage/request quota from the Vertex console. Quota is specific to the model + region. Ensure you request quota in the region you specified when you connected Vertex AI to Kiln.

Hugging Face

Hugging face errors are not always descriptive - if you get 400 errors, it's likely the model you've selected requires a Hugging Face Pro subscription. Try the same model in their UI for a more helpful error message.

Custom OpenAI Compatible Servers

If you have an OpenAI compatible server (LiteLLM, vLLM, etc.), you can use it in Kiln.

To do this, add a "Custom API" in the "AI Providers & Models" section of Settings.

All models supported by this API will appear in the "untested" section of the model dropdown.

Notes:

The API must support the /v1/models endpoint, so Kiln can access the list of models.
Many Kiln tasks produce structured (JSON) output. These can be hard to get working on custom servers, as each server/model pair usually needs some configuration to reliably produce structured output (tools vs json_mode vs json parsing vs json_schema, etc).