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together.models

Build with 200+ open-source and specialized multimodal models for chat, images, code, and more.

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Featured

models

Chat

DeepSeek R1

Open-source reasoning model rivaling OpenAI-o1, excelling in math, code, reasoning, and cost efficiency.

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Chat

DeepSeek R1 Distilled Llama 70B Free

Free endpoint to experiment the power of reasoning models. This distilled model beats GPT-4o on math & matches o1-mini on coding.

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Free

Chat

Llama 3.3 70B Instruct Turbo Free

Free endpoint to try this 70B multilingual LLM optimized for dialogue, excelling in benchmarks and surpassing many chat models.

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Free

Image

FLUX.1 [schnell] Free

Free endpoint for the SOTA open-source image generation model by Black Forest Labs.

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Free

Vision

Llama 3.2 11B Free

Free endpoint to try Llama 3.2 11B.

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Free

Chat

DeepSeek-V3

DeepSeek's latest open Mixture-of-Experts model challenging top AI models at much lower cost.

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Image

FLUX1.1 [pro]

Premium image generation model by Black Forest Labs.

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Audio

Cartesia Sonic

Low-latency, ultra-realistic voice model, served in partnership with Cartesia.

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Chat

Mistral Small 3

24B model rivaling GPT-4o mini, and larger models like Llama 3.3 70B. Ideal for chat use cases like customer support, translation and summarization.

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Chat

Qwen 2.5 72B

Powerful decoder-only models available in 7B and 72B variants, developed by Alibaba Cloud's Qwen team for advanced language processing.

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Chat

Deepseek-67B

Trained from scratch on a vast dataset of 2 trillion tokens in both English and Chinese.

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Chat

Gemma-2 Instruct (27B)

Gemma is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models.

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Chat

Llama 3.1 Nemotron 70B Instruct

This LLM is customized by NVIDIA to improve the helpfulness of LLM generated responses to user queries.

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All

Chat

DeepSeek R1

Open-source reasoning model rivaling OpenAI-o1, excelling in math, code, reasoning, and cost efficiency.

TRY THIS MODEL

Chat

DeepSeek R1 Distilled Llama 70B Free

Free endpoint to experiment the power of reasoning models. This distilled model beats GPT-4o on math & matches o1-mini on coding.

TRY THIS MODEL

Free

Chat

Llama 3.3 70B Instruct Turbo Free

Free endpoint to try this 70B multilingual LLM optimized for dialogue, excelling in benchmarks and surpassing many chat models.

TRY THIS MODEL

Free

Image

FLUX.1 [schnell] Free

Free endpoint for the SOTA open-source image generation model by Black Forest Labs.

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Free

Vision

Llama 3.2 11B Free

Free endpoint to try Llama 3.2 11B.

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Free

Chat

DeepSeek-V3

DeepSeek's latest open Mixture-of-Experts model challenging top AI models at much lower cost.

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Chat

Qwen 2.5 72B

Powerful decoder-only models available in 7B and 72B variants, developed by Alibaba Cloud's Qwen team for advanced language processing.

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Audio

Cartesia Sonic

Low-latency, ultra-realistic voice model, served in partnership with Cartesia.

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Chat

Mistral Small 3

24B model rivaling GPT-4o mini, and larger models like Llama 3.3 70B. Ideal for chat use cases like customer support, translation and summarization.

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Chat

Llama 3.1 Nemotron 70B Instruct

This LLM is customized by NVIDIA to improve the helpfulness of LLM generated responses to user queries.

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Chat

Llama 3.3 70B

The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model is optimized for multilingual dialogue use cases and outperform many of the available open source and closed chat models on common industry benchmarks.

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Image

FLUX1.1 [pro]

Premium image generation model by Black Forest Labs.

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Chat

Qwen QwQ 32B Preview

Experimental research model by Alibaba's Qwen team focused on enhancing AI reasoning capabilities.

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Chat

Llama 3.1 405B

The Meta Llama 3.1 collection of multilingual large language models (LLMs) is a collection of pre-trained and instruction tuned generative models in 8B, 70B and 405B sizes, that outperform many available open source and closed chat models on common industry benchmarks.

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Code

Qwen 2.5 Coder 32B Instruct

SOTA code LLM with advanced code generation, reasoning, fixing, and support for up to 128K tokens.

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Chat

Gemma-2 Instruct (27B)

Gemma is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models.

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Chat

Llama 3.1 8B

The Meta Llama 3.1 collection of multilingual large language models (LLMs) is a collection of pre-trained and instruction tuned generative models in 8B, 70B and 405B sizes, that outperform many available open source and closed chat models on common industry benchmarks.

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Vision

Qwen2-VL-72B-Instruct

A powerful OSS vision model by Alibaba that combines advanced vision capabilities with instruction-tuned language understanding for sophisticated visual reasoning tasks.

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Chat

DeepSeek R1 Distilled Llama 70B

Llama 70B distilled with reasoning capabilities from Deepseek R1. Surpasses GPT-4o with 94.5% on MATH-500 & matches o1-mini on coding.

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Chat

DeepSeek R1 Distilled Qwen 14B

Qwen 14B distilled with reasoning capabilities from Deepseek R1. Outperforms GPT-4o in math & matches o1-mini on coding.

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Run any model on the fastest endpoints

Use our API to deploy any open-source model on the fastest inference stack available with optimal cost efficiency.

Scale into a dedicated deployment anytime with a custom number of instances to get optimal throughput.

Start buildingRequest dedicated endpoint
Curl
Python
Typescript

RUN INFERENCE

curl -X POST "https://api.together.xyz/v1/chat/completions" \
  -H "Authorization: Bearer $TOGETHER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
	"model": "meta-llama/Llama-Vision-Free",
	"messages": [{"role": "user", "content": "What are some fun things to do in New York?"}]
  }'

RUN INFERENCE

from together import Together

client = Together()

response = client.chat.completions.create(
    model="meta-llama/Llama-Vision-Free",
    messages=[{"role": "user", "content": "What are some fun things to do in New York?"}],
)

print(response.choices[0].message.content)

RUN INFERENCE

import Together from "together-ai";

const together = new Together({ apiKey: process.env.TOGETHER_API_KEY });

const response = await together.chat.completions.create({
    messages: [{"role": "user", "content": "What are some fun things to do in New York?"}],
    model: "meta-llama/Llama-Vision-Free",
});

console.log(response.choices[0].message.content)

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