Groq vs Together AI: LLM APIs Comparison (2026)
Groq offers a free tier and emphasizes predictable, affordable token pricing for various AI models with batch processing support. Together AI provides a starting price and focuses on on-demand GPU clusters, serverless inference, fine-tuning, and dedicated inference.
AI Citation Scorecard
How often each is cited by major AI engines when buyers ask llm apis questions. Last 90 days across ChatGPT, Perplexity, Gemini, Claude, and Copilot.
Probes run hourly; each (engine × query) combo retests every ~3 days.
Pricing
Key Features
- ✓Fast responses
- ✓Scalable performance
- ✓Predictable pricing
- ✓No surprise inference bills
- ✓On-demand GPU Clusters
- ✓Serverless Inference
- ✓Fine-Tuning
- ✓Dedicated Inference
When to choose Groq
Groq is suitable for users who prioritize a free tier, predictable and affordable token pricing, and support for multiple AI models with batch processing. Its key features include fast responses and scalable performance.
When to choose Together AI
Together AI is suitable for users who require on-demand GPU clusters, serverless inference, fine-tuning, and dedicated inference. It offers a clear starting price, although pricing can vary with usage, and aims for high scalability.