Chat Models
See which open-source chat models we currently host, or learn how to configure and host your own.
Our Chat API has built-in support for many popular models we host via our serverless endpoints, as well as any model that you configure and host yourself using our dedicated GPU infrastructure.
When using one of our serverless models, you'll be charged based on the amount of tokens you use in your queries. For dedicated models that you configure and run yourself, you'll be charged per minute as long as your endpoint is running. You can start or stop your endpoint at any time using our online playground.
To learn more about the pricing for our serverless endoints, check out our pricing page.
We recently added vision models! To find them, see Vision Models.
Hosted models
In the table below, models marked as "Turbo" are quantized to FP8 and those marked as "Lite" are INT4. All our other models are at full precision (FP16).
If you're not sure which chat model to use, we currently recommend Llama 3.1 8B Turbo (meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo) to get started.
| Organization | Model Name | API Model String | Context length | Quantization |
|---|---|---|---|---|
| Meta | Llama 3.1 8B Instruct Turbo | meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo | 131072 | FP8 |
| Meta | Llama 3.1 70B Instruct Turbo | meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo | 131072 | FP8 |
| Meta | Llama 3.1 405B Instruct Turbo | meta-llama/Meta-Llama-3.1-405B-Instruct-Turbo | 130815 | FP8 |
| Meta | Llama 3 8B Instruct Turbo | meta-llama/Meta-Llama-3-8B-Instruct-Turbo | 8192 | FP8 |
| Meta | Llama 3 70B Instruct Turbo | meta-llama/Meta-Llama-3-70B-Instruct-Turbo | 8192 | FP8 |
| Meta | Llama 3.2 3B Instruct Turbo | meta-llama/Llama-3.2-3B-Instruct-Turbo | 131072 | FP16 |
| Meta | Llama 3 8B Instruct Lite | meta-llama/Meta-Llama-3-8B-Instruct-Lite | 8192 | INT4 |
| Meta | Llama 3 70B Instruct Lite | meta-llama/Meta-Llama-3-70B-Instruct-Lite | 8192 | INT4 |
| Meta | Llama 3 8B Instruct Reference | meta-llama/Llama-3-8b-chat-hf | 8192 | FP16 |
| Meta | Llama 3 70B Instruct Reference | meta-llama/Llama-3-70b-chat-hf | 8192 | FP16 |
| Microsoft | WizardLM-2 8x22B | microsoft/WizardLM-2-8x22B | 65536 | FP16 |
| Gemma 2 27B | google/gemma-2-27b-it | 8192 | FP16 | |
| Gemma 2 9B | google/gemma-2-9b-it | 8192 | FP16 | |
| databricks | DBRX Instruct | databricks/dbrx-instruct | 32768 | FP16 |
| DeepSeek | DeepSeek LLM Chat (67B) | deepseek-ai/deepseek-llm-67b-chat | 4096 | FP16 |
| Gemma Instruct (2B) | google/gemma-2b-it | 8192 | FP16 | |
| Gryphe | MythoMax-L2 (13B) | Gryphe/MythoMax-L2-13b | 4096 | FP16 |
| Meta | LLaMA-2 Chat (13B) | meta-llama/Llama-2-13b-chat-hf | 4096 | FP16 |
| mistralai | Mistral (7B) Instruct | mistralai/Mistral-7B-Instruct-v0.1 | 8192 | FP16 |
| mistralai | Mistral (7B) Instruct v0.2 | mistralai/Mistral-7B-Instruct-v0.2 | 32768 | FP16 |
| mistralai | Mistral (7B) Instruct v0.3 | mistralai/Mistral-7B-Instruct-v0.3 | 32768 | FP16 |
| mistralai | Mixtral-8x7B Instruct (46.7B) | mistralai/Mixtral-8x7B-Instruct-v0.1 | 32768 | FP16 |
| mistralai | Mixtral-8x22B Instruct (141B) | mistralai/Mixtral-8x22B-Instruct-v0.1 | 65536 | FP16 |
| NousResearch | Nous Hermes 2 - Mixtral 8x7B-DPO (46.7B) | NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO | 32768 | FP16 |
| Qwen | Qwen 2.5 7B Instruct Turbo | Qwen/Qwen2.5-7B-Instruct-Turbo | 32768 | FP8 |
| Qwen | Qwen 2.5 72B Instruct Turbo | Qwen/Qwen2.5-72B-Instruct-Turbo | 32768 | FP8 |
| Qwen | [Deprecating]Qwen 1.5 Chat (72B) | Qwen/Qwen1.5-72B-Chat | 32768 | FP16 |
| Qwen | [Deprecating]Qwen 1.5 Chat (110B) | Qwen/Qwen1.5-110B-Chat | 32768 | FP16 |
| Qwen | Qwen 2 Instruct (72B) | Qwen/Qwen2-72B-Instruct | 32768 | FP16 |
| Together | StripedHyena Nous (7B) | togethercomputer/StripedHyena-Nous-7B | 32768 | FP16 |
| upstage | Upstage SOLAR Instruct v1 (11B) | upstage/SOLAR-10.7B-Instruct-v1.0 | 4096 | FP16 |
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Updated 1 day ago