tools

Together AI - Open-Source Model API & Fine-Tuning Platform

Together AI provides API access to 100+ open-source models including Llama 4 and DeepSeek. OpenAI-compatible with fine-tuning and dedicated endpoints.

Together AI is a developer platform for serverless and dedicated model inference, batch processing, fine-tuning, GPU clusters, sandboxes, and managed storage. It supports text, image, audio, video, transcription, embeddings, reranking, and moderation workloads.

Developers and AI teams use it to build applications, agents, media features, and production model deployments. Pricing is usage-based rather than subscription-based; dedicated infrastructure, compute, storage, and fine-tuning cost extra, and the platform requires at least $5 in purchased credits.

Features

Run serverless inference for text, image, audio, video, transcription, and embedding models
Process large workloads asynchronously with Batch Inference
Deploy models on dedicated, single-tenant GPU infrastructure
Fine-tune open models with supervised fine-tuning and preference optimization
Run GPU clusters for training and inference workloads
Create secure code sandboxes and code interpreter sessions through an API
Use managed storage with parallel filesystems and no egress fees

Use cases

Build production AI applications with model APIs
Deploy coding, research, and customer-support agents
Fine-tune open models for domain-specific behavior
Process batch text, image, audio, or video workloads
Run training and inference jobs on managed GPU clusters
Add voice, media generation, or multimodal features to products

Pros

Cons

Latest updates

2026-10-27 Auto repair for Together GPU Clusters: from GPU fault to healthy node
Together GPU Clusters auto repair detects GPU, host, and fabric faults and lets you choose which repairs run automatically.
2026-10-19 Together Post-Training: frontier-grade model shaping, the way that fits you
Together Post-Training lets customers post-train open LLMs with SFT or RL while writing their own training loop.
2026-10-15 Meta Muse Spark Open is live on Together AI
Meta Muse Spark Open is live on Together AI with a 1M-token context window on serverless and dedicated infrastructure.
2026-10-06 Expanding our enterprise inference capacity with IBM Cloud and NVIDIA
Enterprises can run open models at production scale on a dedicated B300 inference cluster.
2026-10-05 Together Link: open models in the harness you already use. Start with one command today.
Together Link brings open models into the coding agent your team already uses.

Capabilities

Choice of models — “Explore top-performing models across text, image, video, code, and voice.” source
API — “High-performance inference as APIs” source
Runs models for you — “The fastest way to run open-source models on demand.” source

Get it

Documentation

Pricing

Prices checked: 2026-10-26

Serverless Inference

$0.0015–$4.50 per 1M tokens
$0.0006–$0.134 per image
$0.14–$3.20 per video
$0.0015 per audio minute

High-performance inference as APIs
Chat, vision, embeddings, rerank
Image and video generation
Audio transcription

Dedicated Inference — NVIDIA HGX H100

$5.49 per GPU per hour

Single-tenant GPU instances
Guaranteed performance
Support for custom models
Autoscaling & traffic spike handling

Dedicated Inference — NVIDIA HGX H200

Price on request

Single-tenant GPU instances
Guaranteed performance
Support for custom models

Dedicated Inference — NVIDIA HGX B200

$8.99 per GPU per hour

Single-tenant GPU instances
Guaranteed performance
Support for custom models
Autoscaling & traffic spike handling

Dedicated Inference — NVIDIA HGX B300

Price on request

Single-tenant GPU instances
Guaranteed performance
Support for custom models

Dedicated Inference — NVIDIA GB200 NVL72

Price on request

Single-tenant GPU instances
Guaranteed performance
Support for custom models

Dedicated Inference — NVIDIA GB300 NVL72

Price on request

Single-tenant GPU instances
Guaranteed performance
Support for custom models

GPU Clusters — NVIDIA HGX H100

$1.99 per GPU per hour (Preemptible Compute)
$3.99 per GPU per hour (ON-Demand)
$3.69 per GPU per hour (Reserved, 3–30 days)
$3.45 per GPU per hour (Reserved, 31–90 days)
$3.19 per GPU per hour (Reserved, 91–180 days)

Reliable GPU clusters at scale
On-demand, preemptible and reserved capacity

GPU Clusters — NVIDIA HGX H200

$2.99 per GPU per hour (Preemptible Compute)
$5.99 per GPU per hour (ON-Demand)
$4.99 per GPU per hour (Reserved, 3–30 days)
$4.15 per GPU per hour (Reserved, 31–90 days)
$3.99 per GPU per hour (Reserved, 91–180 days)

Reliable GPU clusters at scale
On-demand, preemptible and reserved capacity

GPU Clusters — NVIDIA HGX B200

$4.09 per GPU per hour (Preemptible Compute)
$8.19 per GPU per hour (ON-Demand)
$7.99 per GPU per hour (Reserved, 3–30 days)
$7.79 per GPU per hour (Reserved, 31–90 days)
$6.79 per GPU per hour (Reserved, 91–180 days)

Reliable GPU clusters at scale
On-demand, preemptible and reserved capacity

Official website