Together AI Key Insights
What is Together AI?
Together AI is a full stack AI cloud platform built for developers and ML engineers who need fast, cost effective access to open source large language models. Founded in 2020, the platform offers serverless inference, model fine tuning, dedicated GPU endpoints, and on demand GPU clusters all under one roof. It supports over 200 models from families including Llama 4, DeepSeek V3, Qwen 3.5, Mistral, and FLUX for image generation.
Together AI removes the burden of managing GPU infrastructure so teams can focus on building AI native applications. Its OpenAI compatible API means existing codebases can migrate with minimal changes. For businesses looking to run high volume AI workloads at a fraction of proprietary API costs, Together AI sits in a strong position as a production grade inference and training provider.
Together AI hosts over 200 open source models spanning text, image, video, audio, embeddings, and code generation. Developers can call any model through a single API without provisioning servers. Models like Llama 4 Maverick run at roughly $0.27 per million input tokens, making high volume production workloads significantly cheaper than proprietary alternatives. The platform also includes a Batch API for non urgent jobs at reduced cost.
Together AI’s proprietary inference engine uses FlashAttention 3 and the ATLAS speculator system to deliver up to 3.5x faster inference than standard implementations. On NVIDIA H100 hardware, this achieves around 840 TFLOPs/s with BF16 precision. The real world result is approximately 400 tokens per second in production, roughly 2.5 to 4 times faster than GPT 4 Turbo output speeds.
The platform supports both LoRA (Low Rank Adaptation) and full weight fine tuning for models up to 100B parameters. Pricing starts at $0.48 per million tokens for LoRA on models up to 16B. Teams can train models on proprietary data to create task specific systems for legal, medical, or customer support applications and then deploy them instantly on Together AI’s inference stack.
For teams needing dedicated compute, Together AI offers instant access to NVIDIA H100, H200, B200, and the latest GB200 and GB300 NVL72 racks. On demand pricing starts at $3.49 per hour for an H100 node, with reserved pricing dropping to $2.55 per hour on longer commitments. This makes it a strong alternative to AWS, GCP, or Azure for ML training workloads.
Migration from OpenAI’s API to Together AI requires only a base URL change. The platform also provides a Code Interpreter that executes LLM generated code in sandboxed environments at $0.03 per session, plus a full Code Sandbox for larger development environments billed per vCPU hour.
Together AI Pricing Plans
| Plan | Cost | Key Details |
|---|---|---|
| Serverless Inference | $0.02 to $7.00 per 1M tokens | Varies by model. Output tokens cost more than input. |
| Dedicated Endpoints | From $3.99/hr | Single tenant GPU with guaranteed performance |
| GPU Clusters (On Demand) | $3.49/hr | Hourly billing, no commitment |
| GPU Clusters (Reserved) | $2.55/hr to $7.15/hr | 1 week to 6+ month terms with volume discounts |
| Fine Tuning (LoRA) | $0.48 to $2.90 per 1M tokens | Based on model size (up to 100B) |
| Fine Tuning (Full) | $0.54 to $3.20 per 1M tokens | All weights updated |
| Code Interpreter | $0.03 per session | Sandboxed code execution |
| Shared Filesystem | $0.16 per GiB/month | High bandwidth parallel storage |
Together AI Research and Open Source Contributions
Together AI is not just an infrastructure provider. The company actively pushes AI research forward. Its team created FlashAttention, which is now the standard attention mechanism used across the industry. Other contributions include Mixture of Agents, the Red Pajama open datasets, DeepCoder, and the Open Data Scientist Agent.
This research first approach means the latest optimisation techniques and model architectures are available on the platform from day one. For engineering teams that value staying at the frontier of model performance, this ongoing research pipeline gives Together AI a technical edge that pure cloud compute resellers simply cannot match.
Pros and Cons
- 200+ open source models available.
- Industry leading inference speed.
- OpenAI compatible API migration.
- Flexible GPU cluster options.
- Strong fine tuning support.
- Active AI research contributions
- No permanent free tier.
- Developer only, not beginner friendly.
- Cost prediction can be difficult.
Best Together AI Alternatives
| AI Infrastructure / MLOps Platform | Cost Efficiency | Model Breadth |
|---|---|---|
| Replicate | Pay per second billing, good for bursty workloads | 100+ models, strong on diffusion and custom models |
| OpenRouter | Aggregates providers for lowest per token cost | 200+ models across multiple backends |
| Fireworks AI | Competitive serverless pricing, fast inference | Focused on top open source LLMs |
| Hugging Face Inference Endpoints | Free tier available, flexible deployment | Largest open source model hub |
