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Honest pros, cons, and verdict on this llm infrastructure tool
✅ Cheaper per token than closed-model APIs for equivalent tasks — Llama 3.3 70B at ~$0.88/M is a real cost delta
Starting Price
$0.02/1M tokens
Free Tier
No
Category
LLM Infrastructure
Skill Level
Developer
GPU cloud and inference platform for open-source LLMs — fast, low-cost APIs for Llama, DeepSeek, Qwen, Mistral, plus fine-tuning and dedicated endpoints.
Together AI is a full-stack AI cloud that spans the entire model lifecycle — from GPU cluster reservations for pretraining frontier models to serverless inference and fine-tuning on 200+ open-weight models. The company runs one of the largest GPU fleets in the industry (H100, H200, GB200) and has become the default choice for AI research labs and startups training foundation models. On the inference side, Together offers per-token access to Llama, Qwen, DeepSeek, Mistral, and community fine-tunes with an OpenAI-compatible API, competitive per-token pricing, and structured output support. Its Custom Models track lets teams fine-tune models via LoRA, DPO, or continued pretraining with hosted jobs, then deploy on the same platform. Together's GPU Clusters product provides reserved capacity for training runs (short-term or long-term commitments, with InfiniBand-connected racks), which is the piece that positions it against AWS/Azure/CoreWeave for research workloads. In 2026 the platform has leaned into agent infrastructure — hosted MCP endpoints, agent evaluation tools, and structured output for tool use. Free tier includes $1 signup credit; per-token inference pricing is competitive with Fireworks and Groq; GPU cluster pricing is contract-based. It's a strong single-vendor pick when your workload spans inference, fine-tuning, and reserved training capacity.
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Ultra-fast LLM inference cloud powered by custom LPU (Language Processing Unit) chips — the fastest hosted API for Llama, Kimi K2, Qwen, and many open-source models.
Starting at Free
Learn more →Serverless cloud for running Python code, AI models, and GPU workloads at scale with per-second billing.
Starting at Free
Learn more →Together AI delivers on its promises as a llm infrastructure tool. While it has some limitations, the benefits outweigh the drawbacks for most users in its target market.
GPU cloud and inference platform for open-source LLMs — fast, low-cost APIs for Llama, DeepSeek, Qwen, Mistral, plus fine-tuning and dedicated endpoints.
Yes, Together AI is good for llm infrastructure work. Users particularly appreciate cheaper per token than closed-model apis for equivalent tasks — llama 3.3 70b at ~$0.88/m is a real cost delta. However, keep in mind frontier reasoning still lags claude, gpt, and gemini for the hardest tasks; open models close but rarely lead.
Together AI starts at $0.02/1M tokens. Check their pricing page for the most current rates and features included in each plan.
Together AI is best for Startups training or fine-tuning foundation models and Cost-sensitive inference workloads. It's particularly useful for llm infrastructure professionals who need serverless inference apis for open and proprietary model workloads.
Popular Together AI alternatives include Groq, Modal. Each has different strengths, so compare features and pricing to find the best fit.
Last verified March 2026