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Top 25 AI Companies of 2025 – The Software Report

Together AI

Non-hyperscaler

AI & GPU Infrastructure Developer Tools & Ecosystem

Quick Stats

Pricing Model

Pay-As-You-Go, Reserved / Committed Capacity

Customer Count

700k

Region

North America, Europe, Asia / Middle East

About

Together AI offers scalable GPU cloud infrastructure optimized for training and serving large AI models, including open-source LLMs. Its pay-as-you-go pricing, support for popular ML frameworks, and focus on high-throughput, low-latency workloads differentiate it for enterprises and researchers seeking flexible, cost-efficient AI compute.

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Pricing Details

Together AI Pricing

Inference, fine-tuning, and API access for open and custom models

Inference API

Pay-as-you-go for open and custom models

Usage-based

Model Example	Llama-2-70B $1.20 / 1M input tokens $1.60 / 1M output tokens
Other Models	Pricing varies by model (e.g., Mixtral, Gemma, Qwen, Mistral, etc.) See full list on Together AI pricing page
Free Tier	$5 in free credits for new users
Billing Model	Pay-as-you-go, monthly billing, no minimums

See the official pricing page for the latest rates and supported models.

Fine-tuning

Custom model training and adaptation

Contact Sales

Pricing	Available upon request Contact Together AI for a custom quote
Support	Dedicated support and onboarding

Fine-tuning is tailored to customer needs; pricing depends on model, data, and compute.

Notes: Prices shown in USD. Actual rates may vary by model, usage, and region. For the most current and detailed pricing, visit the Together AI official pricing page.

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Features

AI / ML Serverless inference, fine-tuning, and pre-training for open-source and specialized models including chat, code, image, and audio.

Compute Self-service and dedicated GPU clusters with support for NVIDIA GB200 NVL72, GB300 NVL72, H200, and H100 hardware.

Performance ATLAS runtime-learning accelerators deliver up to 4x faster LLM inference and 3.5x faster inference at scale.

Architecture OpenAI-compatible APIs and full-stack development platform for deploying, evaluating, and scaling AI-native applications.

Key Offerings

Serverless Inference API for open-source models
Fine-tuning and pre-training platform for custom AI models
GPU Cloud with instant and reserved NVIDIA GPU clusters
Model Library featuring chat, code, image, and audio models
Batch Inference API for large-scale, cost-efficient processing

Ideal Use Cases / Buyers

Workloads Large-scale AI/ML workloads including LLM inference, fine-tuning, pre-training, and generative media (text, image, audio, code). Optimized for high-throughput, low-latency, and cost-efficient deployment of open-source and custom models on advanced GPU clusters.

Buyers AI-native startups, enterprise technology teams, ML engineers, research labs, and companies in sectors such as SaaS, communications, media, and AI product development.

Integrations & Partners

Why Choose

✅ Delivers up to 4x faster LLM inference and 2.3x faster training with innovations like the ATLAS speculator system and performance-optimized GPU clusters
✅ Offers industry-leading unit economics, enabling up to 20% lower costs and 60% cost savings for high-scale AI workloads
✅ Provides a full-stack platform for open-source and specialized models, with OpenAI-compatible APIs for easy migration from closed models
✅ Enables global scaling with instant and reserved GPU clusters, including access to the latest NVIDIA GB200 NVL72 and GB300 NVL72 hardware
✅ Backed by frontier AI systems research and open-source contributions, ensuring access to the latest models, hardware, and techniques on day 1