Together AI Review 2026: Full-Stack Open Model Cloud
Together AI Review 2026: Full-Stack Open Model Cloud
TL;DR
- 7.8/10 — Together AI is a full-stack AI cloud platform for open models. Unlike inference-. only providers, Together offers serverless inference, dedicated endpoints, fine-tuning, training, and GPU cluster rental
- Serverless: $0.05-$9.00/M tokens. Dedicated endpoints: hourly GPU rate. Fine-tuning: per-hour GPU. Free credits availabl
- Not the fastest:Groq's LPU is 3-10x faster for pure inference
What Is Together-Ai?
Together AI is a full-stack AI cloud platform for open models. Unlike inference-only providers, Together offers serverless inference, dedicated endpoints, fine-tuning, training, and GPU cluster rental — all on open-weight models. Founded by former Meta AI researchers and backed by $150M+, Together positions itself as the comprehensive cloud for organizations that want to build with open models without managing their own infrastructure.
📊 Quick Specs
Key Features
Full-Stack Open Model Cloud
Together AI is the only provider that offers serverless inference, dedicated endpoints, fine-tuning, training, and GPU cluster rental for open models. One platform for the entire ML lifecycle.
200+ Open Models
Hosts 200+ open-weight models with fast inference. Was the first cloud to host DeepSeek V3, Llama 4, and many other major open models at launch. Continuously updated with new releases.
Managed Fine-Tuning
Upload datasets, select a base model, configure hyperparameters, and Together handles training infrastructure. No GPU management, no Docker files, no distributed training setup.
Dedicated Endpoints & GPU Clusters
For production workloads, reserved endpoints with guaranteed throughput. For training, monthly GPU cluster reservations with A100 and H100 nodes.
💰 Pricing & Cost Analysis
- ✅ From $0.05/M tokens (serverless)
- ✅ Managed fine-tuning available
- ✅ Dedicated endpoints for production
- ✅ GPU cluster rentals for training
Serverless: $0.05-$9.00/M tokens. Dedicated endpoints: hourly GPU rate. Fine-tuning: per-hour GPU. Free credits available for new users.
Pricing varies by model. Serverless: $0.05-$9.00/M tokens. Dedicated endpoints: hourly GPU rate. Fine-tuning: per-hour GPU. GPU clusters: monthly reservation.
✅ What It Does Best
- Full-stack platform — Inference + fine-tuning + training + GPU clusters under one roof
- 200+ open models — One of the largest open-model catalogs with fast inference
- Managed fine-tuning — Upload data, pick a model, Together trains it — no infrastructure work
- FlashAttention-4 — Custom optimization for NVIDIA Blackwell — up to 1.3x faster than cuDNN
- Widely adopted — First cloud to host many major open-model releases
❌ Where It Falls Short
- Not the fastest — Groq's LPU is 3-10x faster for pure inference
- Fewer models than OpenRouter — 200+ vs 400+ — but more curated
- Pricing complexity — Different pricing models for inference vs training vs endpoints
- GPU reservation needed — For consistent production throughput, dedicated endpoints cost more
- Newer company — Less established than GPU cloud incumbents
🎯 Who Should Use
Best for: Teams that need the full open-model lifecycle — inference, fine-tuning, and training — on a single platform. Organizations building custom models or fine-tuning open models for domain-specific tasks. Developers who want a comprehensive open-model cloud with good tooling.
Not ideal for: Teams that only need pure inference and want the fastest option (Groq is better). Developers who need access to closed models (GPT, Claude) that Together doesn't host. Budget-constrained users who want the absolute lowest per-token cost.
📋 Score Breakdown
Verdict
Together AI is the most complete open-model cloud platform available. If you need inference, fine-tuning, training, and GPU infrastructure for open models, Together does it all under one roof. For pure inference, Groq is faster and OpenRouter has more models. But for teams that want a single platform for the full open-model lifecycle — from experimentation to fine-tuning to production deployment — Together is the best option.
ToolBrain Verdict: Buy / Deploy (for full-stack open model workflows).
❓ FAQ
What models does Together AI offer?
200+ open-weight models including DeepSeek V3.1/V4, Llama 4, Mistral, Qwen, Gemma, and hundreds more. Together was the first cloud to host many major open models.
Does Together AI support fine-tuning?
Yes. Together offers managed fine-tuning on GPUs. Upload your dataset, select a base model, configure hyperparameters, and Together handles the infrastructure.
How does Together pricing compare?
Serverless inference ranges from $0.05/M to $9.00/M tokens depending on the model. Dedicated endpoints and GPU clusters have separate pricing. Competitive with DeepInfra and Groq for inference.
Can I train models from scratch?
Yes. Together offers GPU cluster rental for training. Reserve A100 or H100 nodes by the month for custom training workloads.
What is FlashAttention-4?
Together AI's custom optimization for NVIDIA Blackwell GPUs, delivering up to 1.3x faster inference than cuDNN. Available on Together's dedicated endpoints.
📖 Related Reads
🔗 DeepSeek V4 Flash Review — 9.1/10 — Best value LLM
🔗 Llama 4 Maverick Review — 8.0/10 — Open-weight MoE model
🔗 Gemini 3 Flash Review — 8.0/10 — Google speed champion
🔗 AI Tools Comparison Database
| Review | Summary |
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📚 Citations
- Together-Ai Official Website — Product features and pricing
- Together-Ai Pricing Page — Current pricing and model availability
- Together-Ai Documentation — API reference and integration guide
- ToolBrain Comparison Database — Side-by-side inference provider comparison
- ToolBrain — DeepSeek V4 Flash Review — LLM benchmark reference
📝 Change Log
- May 28, 2026 — Initial published review with pricing analysis, feature breakdown, and competitive comparison.
