Together AI
Together AI provides fast inference and fine-tuning infrastructure for open-source LLMs at scale.
Pros
- Full-stack AI platform with serverless, batch, provisioned, and dedicated inference options
- fine-tuning for open-source models
- GPU clusters from instant self-serve to thousands of GPUs
- claims 2x faster inference and 60% lower cost vs proprietary APIs
Cons
- No fixed pricing disclosed—token-based consumption model requires custom quote
- high barrier to entry without SaaS simplicity
- requires technical infrastructure knowledge
- startup program eligibility unclear
Cost
Serverless inference is metered per million tokens and priced per model: MiniMax M3 $0.30 input and $1.20 output, DeepSeek V4 Flash 0731 $0.14 input and $0.28 output, GLM-5.3-Flash $0.15 input and $0.50 output, Qwen3.5 9B $0.17 input and $0.25 output, and Llama 3 8B Instruct Lite $0.14 input and $0.14 output. Image generation is charged per image, with FLUX.2 [pro] at $0.03, Qwen Image 2.0 at $0.04 and FLUX.1 [schnell] at $0.0027; video runs $0.115 per video on ByteDance Seedance 2.5 and $0.18 on Kling 2.1 Standard; transcription costs $0.0015 per minute on Whisper Large v3 and on NVIDIA Parakeet TDT 0.6B v3. Dedicated GPU clusters are $3.99 per GPU-hour for an H100, $5.99 for an H200 and $8.19 for a B200 on demand, falling to $3.19, $3.99 and $6.79 on a reservation of 181 days or more. The page invites you to start for free without stating the credit amount.
Verdict
Best for AI companies and researchers needing cost-effective inference at scale with fine-tuning and dedicated compute options.
Visit Together AI