
82
Stack Score
Best for
Developers building latency-sensitive AI apps — voice agents, real-time chat, streaming UIs — where open-weight quality is good enough.
At a glance
- Pricing
- freemium
- Setup time
- 5 minutes
- Learning curve
- easy
- Last verified
- 5/19/2026
What we love
- ✓Fastest commercial LLM inference available, by a wide margin
- ✓Free tier real enough to prototype on
- ✓Drop-in OpenAI SDK compatibility
- ✓No fine-tuning lock-in — runs open-weight models
Where it falls short
- −No proprietary frontier models — capped at open-weight quality
- −Rate limits on free tier hit quickly under load
- −No fine-tuning yet — bring trained weights elsewhere
Pricing
✓ Pricing verified Jun 21, 20263 tiers
Free
$0
forever, rate-limited
- ✓GroqCloud playground
- ✓Open-weight model access
- ✓Lower RPM limits
Developer
Pay-as-you-go
per million tokens
- ✓~$0.59/M input on Llama 70B
- ✓Higher rate limits
- ✓Production SLAs
Enterprise
Custom
committed throughput
- ✓Dedicated capacity
- ✓Private deployments
- ✓SLA guarantees
Why we picked it
Speed is the product. Use Groq when latency matters more than model selection.
Overview
LPU-accelerated inference serving Llama, Mixtral, and others at 500+ tokens/sec. Free tier generous; paid is pay-per-token.
Key features
- ●LPU inference hardware — 500+ tokens/sec on Llama 70B
- ●OpenAI-compatible API for easy migration
- ●Hosts Llama, Mixtral, Gemma, DeepSeek, Qwen models
- ●GroqCloud free tier with generous rate limits
- ●Sub-second time-to-first-token latency
- ●Whisper transcription endpoint at real-time speed
- ●Batch API for offline workloads at 25% discount
Best use cases
Real-time chat UX
Build assistants that stream responses fast enough to feel like thinking out loud.
Voice pipelines
Pair Groq Whisper plus a Llama model for sub-second voice-to-text-to-response loops.
Bulk classification
Tag, summarize, or extract from large document batches at low per-token cost.
Integrations
Similar tools
See all LLMs →One AI Stack pick every week.
The tool we’d pay for this week, why we’d pay for it, and what we’d skip. No promo spam.