What is Together AI?
An inference and training cloud for open-source models — serverless API access to Llama, DeepSeek, Qwen, and others, plus dedicated endpoints, fine-tuning, and on-demand H100/H200/B200 GPU clusters. Built by the team behind FlashAttention, so the pitch leans on kernel-level optimization for cost and latency. Bought by AI engineering teams who want OpenAI-style ergonomics on open models.
General AI assistants for research, writing, analysis, planning, and daily knowledge work.
See the full AI Assistants guide to compare more tools, buyer criteria, and related workflows.
Use cases to evaluate
Production inference on Llama, DeepSeek, and Qwen at scale
Fine-tuning open models with LoRA or DPO
Renting H100/H200/B200 clusters for training jobs
Batch inference for offline data processing workloads
Fit to evaluate
AI engineering teams running open-model inference in production
Startups fine-tuning models for vertical use cases
Researchers needing on-demand multi-GPU clusters
Companies wanting an open-source alternative to OpenAI
Business fit
Right for you if you're running production traffic on open models like Llama 3.3 or DeepSeek and need both serverless endpoints and the option to reserve dedicated GPUs without changing vendors. Skip if your workload is small enough to stay on a hobbyist tier — Together's value shows up at scale. H100 on-demand at $5.49/hr (vs Fireworks $7.00/hr) is a concrete cost edge for sustained GPU workloads.
How to evaluate Together AI
Use this category when your team needs a broad AI workspace before buying a narrower point solution.
Confirm the exact workflow
Map Together AI to one concrete workflow first, such as production inference on llama, deepseek, and qwen at scale. Avoid buying before the owner, trigger, output, and success metric are clear.
Check category fit
Compare model quality on real company tasks, not demo prompts.
Compare practical alternatives
Shortlist Together AI against ChatGPT, Claude, Gemini so the decision is based on fit, effort, and workflow ownership rather than brand recognition alone.
Validate cost and rollout effort
Serverless per-1M tokens: Llama 3.3 70B $0.88 in/out, DeepSeek V4 Pro $2.10 in / $4.40 out, Qwen3.5 9B $0.10/$0.15. GPU on-demand: H100 $5.49/hr, H200 $6.79/hr, B200 $9.95/hr. Fine-tuning LoRA from $0.48 per 1M tokens. Also confirm implementation time, support needs, and whether the easy setup matches your team.
Compare Together AI with alternatives
Use this quick comparison before booking demos or moving data into a new system.
| Primary workflow | Production inference on Llama, DeepSeek, and Qwen at scale, Fine-tuning open models with LoRA or DPO |
|---|---|
| Best-fit team | AI engineering teams running open-model inference in production, Startups fine-tuning models for vertical use cases |
| Implementation effort | Easy setup and maintenance profile |
| Pricing check | Usage-based |
| Closest alternatives | ChatGPTClaudeGeminiPerplexity |
Together AI pricing
| Model | Usage-based |
|---|---|
| Snapshot | Serverless per-1M tokens: Llama 3.3 70B $0.88 in/out, DeepSeek V4 Pro $2.10 in / $4.40 out, Qwen3.5 9B $0.10/$0.15. GPU on-demand: H100 $5.49/hr, H200 $6.79/hr, B200 $9.95/hr. Fine-tuning LoRA from $0.48 per 1M tokens. |
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Common questions about Together AI
What is Together AI?
An inference and training cloud for open-source models — serverless API access to Llama, DeepSeek, Qwen, and others, plus dedicated endpoints, fine-tuning, and on-demand H100/H200/B200 GPU clusters. Built by the team behind FlashAttention, so the pitch leans on kernel-level optimization for cost and latency. Bought by AI engineering teams who want OpenAI-style ergonomics on open models.
What is Together AI used for?
Common use cases: Production inference on Llama, DeepSeek, and Qwen at scale; Fine-tuning open models with LoRA or DPO; Renting H100/H200/B200 clusters for training jobs; Batch inference for offline data processing workloads.
How much does Together AI cost?
Serverless per-1M tokens: Llama 3.3 70B $0.88 in/out, DeepSeek V4 Pro $2.10 in / $4.40 out, Qwen3.5 9B $0.10/$0.15. GPU on-demand: H100 $5.49/hr, H200 $6.79/hr, B200 $9.95/hr. Fine-tuning LoRA from $0.48 per 1M tokens.
Who is Together AI best for?
Together AI fits AI engineering teams running open-model inference in production, Startups fine-tuning models for vertical use cases, Researchers needing on-demand multi-GPU clusters, Companies wanting an open-source alternative to OpenAI. Right for you if you're running production traffic on open models like Llama 3.3 or DeepSeek and need both serverless endpoints and the option to reserve dedicated GPUs without changing vendors. Skip if your workload is small enough to stay on a hobbyist tier — Together's value shows up at scale. H100 on-demand at $5.49/hr (vs Fireworks $7.00/hr) is a concrete cost edge for sustained GPU workloads.
What are alternatives to Together AI?
Common alternatives to Together AI include ChatGPT, Claude, Gemini, Perplexity, Microsoft Copilot, Poe.