Groq vs Together AI
Which tool to choose in 2026?
Chatbots📊 Comparison radar
Groq
Together AI
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📋 General information
Groq
Rating
★★★★☆ 4.2/5
Pricing
Freemium
Price detail
Free (limits) · API: among the lowest prices on the market
Company
Groq (Nvidia)
Launched
2024
Platforms
web, api
Together AI
Rating
★★★★☆ 4.2/5
Pricing
Freemium
Price detail
Build: free ($25 credit) · Scale: pay-as-you-go · Enterprise: custom quote
Company
Together AI
Launched
2023
Platforms
api, web
✨ Features
| Feature | Groq | Together AI |
|---|---|---|
| Record inference speed | ✅ | — |
| Proprietary LPU chips | ✅ | — |
| Open-source models (Llama 4, Qwen, Mistral) | ✅ | — |
| OpenAI-compatible API | ✅ | ✅ |
| Strategic Meta partnership | ✅ | — |
| Widely adopted by developers | ✅ | — |
| Free for prototyping | ✅ | — |
| Acquired by Nvidia | ✅ | — |
| 200+ open-source models | — | ✅ |
| Serverless inference 4x faster than vLLM | — | ✅ |
| Fine-tuning in a few clicks | — | ✅ |
| Reservable dedicated GPUs | — | ✅ |
| SOC 2 Type II + HIPAA | — | ✅ |
| Custom models and mixtures | — | ✅ |
| Playground for testing | — | ✅ |
⚖️ Pros & Cons
⚡ Groq
- Record inference speed — LPU chips (specialized processors) outclass all GPU-based competitors
- Nvidia acquisition guarantees longevity and massive investment — no more fragile startup risk
- OpenAI-compatible API — migrate by changing a single line of code, widely adopted by developers
- Generous free tier with Llama 4, Qwen, and Mistral — enough for prototyping and small projects
- Extremely low latency ideal for real-time applications, voice agents, and conversational chatbots
- Does not provide its own models — entirely dependent on third-party open-source models
- Context window (conversation memory) more limited than native APIs from model providers
- Nvidia acquisition raises questions about platform neutrality regarding non-Nvidia models
🤝 Together AI
- 200+ models available with a unified API — the most complete open-source catalog on the market in a single endpoint
- Serverless inference 4x faster than vLLM — optimized performance without managing infrastructure
- Simple and fast fine-tuning (custom training) — customize Llama, Mistral, or Qwen on your own data in a few clicks
- SOC 2 Type II certified and HIPAA compliant — enterprise security for sensitive data (healthcare, finance)
- Free Build tier with $25 in credits — enough to prototype and evaluate before committing
- Playground interface still basic compared to leaders — less polished than OpenAI or Google AI Studio
- Technical documentation in English only — no localized resources for non-English-speaking teams
- Variable serverless pricing depending on the model — costs can escalate quickly on large models in production
🏆 Verdict
⚡ Choose Groq
The Ferrari of LLM inference, now backed by Nvidia. exceptional speed for open-source models with a generous free tier and a massive developer community.
🤝 Choose Together AI
The reference cloud for open-source models with a catalog of 200+ models, simplified fine-tuning, and enterprise certifications.
Together AI