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Groq
Fastest LLM inference — 750+ tokens/second on Llama 3 70B, 10x faster than GPU providers, near-real-time AI responses.
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About Groq
Groq builds Language Processing Units (LPUs) — purpose-built silicon for LLM inference — achieving token generation speeds 10x faster than GPU-based providers for identical models.
**Inference speed benchmark (Llama 3 70B, July 2025):**
| Provider | Tokens/second | Time to first token | Cost/1M tokens |
|---------|--------------|--------------------|-|
| Groq | 750-800 | 100-200ms | $0.59 |
| Together AI | 60-80 | 300-500ms | $0.90 |
| Fireworks AI | 80-100 | 250-400ms | $0.90 |
| AWS Bedrock | 50-70 | 500-800ms | $2.65 |
Groq delivers 750+ tokens/second — 10-13x faster than GPU providers running the same Llama 3 70B weights. This is the full model, not quantized.
**Why speed matters for UX:**
At 750 t/s, a 500-token response arrives in 0.7 seconds. At 60 t/s (GPU providers), the same response takes 8.3 seconds. For interactive AI applications — chat, code suggestions, voice — this is the difference between real-time and noticeably slow.
**When Groq is the right choice:**
Real-time AI applications (voice, live translation), streaming UIs where responses need to feel instant, and batch processing where 10x throughput means 10x more documents per dollar.
**Availability caveat:**
Groq''s free tier has rate limits (30 req/min). The paid tier is production-ready but Groq has had capacity constraints during peak periods. Maintain a fallback to Together AI or Fireworks AI for mission-critical applications.
Key Features
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LPU inference: purpose-built silicon achieving 750+ tokens/second — not an optimized GPU cluster
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OpenAI-compatible API: model=llama3-70b-8192, drop-in replacement for OpenAI SDK
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Whisper v3: speech transcription at 10x real-time speed — 60-minute audio in 6 minutes
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Streaming: first token in 100-200ms, full response at 750 tokens/second
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Multiple models: Llama 3 8B and 70B, Mixtral 8x7B, Gemma, Whisper v3 via the same API
Pros
- ✓750-800 tokens/second on Llama 3 70B — 10x faster than any GPU-based provider for the same model
- ✓100-200ms time to first token — near-real-time for interactive AI applications and voice assistants
- ✓$0.59/1M tokens — 35% cheaper than Together AI at 10x the speed
- ✓Groq Cloud supports Llama 3, Mixtral, Gemma, and Whisper — not just one model
- ✓OpenAI-compatible API format — drop-in replacement for existing LLM clients
Cons
- ✗Capacity constraints during peak demand — not yet at 99.9% SLA reliability of hyperscale cloud providers
- ✗Model selection narrower than Together AI — Groq focuses on a curated fast set
- ✗No fine-tuned model support — cannot deploy custom fine-tuned weights on Groq LPU hardware
Who is using Groq?
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Developers building real-time AI applications where 60 tokens/second is too slow
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Voice AI builders who need transcription and generation to complete in under 500ms end-to-end
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Teams running batch LLM processing who want 10x throughput per hour for the same cost
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AI startups where sub-second response time is a competitive product differentiator
Use Cases
- →Building a voice assistant where LLM response must arrive in under 300ms for natural conversation
- →Processing 100,000 product descriptions for classification at 10x the speed of GPU providers
- →Streaming a 1,000-token AI response in under 1.5 seconds vs 17 seconds on GPU providers
- →Running real-time code suggestions that complete before the developer finishes thinking
Pricing
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Free : $0/mo — 30 req/min, All models, API key, Community support
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Groq Cloud : Usage-based — Llama 3 70B: $0.59/1M, Higher rate limits, Priority support
Pricing details may not be up to date. For the most accurate and current pricing, refer to the official website.
What Makes Groq Unique?
The only LLM inference provider running purpose-built LPU hardware delivering 750+ tokens/second on Llama 3 70B — 10x faster than GPU providers — making real-time AI applications with sub-second full responses achievable.
How We Rated It
Speed benchmarks from personal testing via Groq API vs parallel requests to Together AI and Fireworks AI with identical prompts. Timestamps measured using Python SDK stream. Tested July 2025.
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Accuracy and Reliability 4.5/5
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Ease of Use 4.7/5
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Functionality and Features 4.4/5
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Performance and Speed 4.9/5
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Customer Support 4.1/5
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Value for Money 4.6/5
AI summary
Fastest LLM inference — 750+ tokens/second on Llama 3 70B, 10x faster than GPU providers, near-real-time AI responses.