Groq Llama
FreemiumGroq's LPU-powered Llama inference — the fastest way to run open-weight Llama models in production
What is Groq Llama?
Groq Llama refers to running Meta's Llama models on Groq's Language Processing Unit (LPU) inference hardware — a custom silicon architecture that consistently achieves the fastest tokens-per-second of any major LLM API provider in 2026. Where traditional GPU inference might deliver 30-80 tokens per second for Llama 3.3 70B, Groq's LPU regularly pushes past 300 tokens per second on the same model, making it the go-to inference provider for latency-sensitive applications: real-time voice assistants, agentic tool-calling pipelines, live customer support, and interactive chat where users notice every millisecond. Groq's Llama pricing is aggressively competitive: Llama 3.1 8B Instant runs at $0.05 per million input tokens and $0.08 per million output tokens. Llama 3.3 70B Versatile, the workhorse production model, costs $0.59 per million input and $0.79 per million output. Groq also offers a genuinely usable free tier with no credit card required, giving every model in the Groq catalog to developers building prototypes. The catch: Groq is strictly inference-only — you cannot fine-tune on Groq, there is no managed RAG or agent framework, and the focus is tightly on running open-weight models as fast and cheaply as possible. For teams that already know which Llama variant they want and care most about speed and cost, Groq is the best inference destination on the market in 2026.
⚡ Quick Verdict
Latency-sensitive production apps running open-weight Llama at high volume
Teams that need fine-tuning, custom model hosting, or a very wide model catalog
$0.05/$0.08 per million tokens (Llama 3.1 8B) · Free tier available
Yes — no credit card required, every model accessible
Fastest LLM inference on the market plus competitive per-token pricing
Inference-only, no fine-tuning or training
Bottom line: Groq Llama scores 4.5/5 — the default choice when you need fast, cheap Llama inference at scale. Start with the free tier, upgrade to paid when you need higher rate limits.
Pricing
Llama 3.1 8B Instant — $0.05 / $0.08 per million tokens: The cheapest, fastest Llama tier on Groq. Ideal for high-volume classification, summarization, and simple Q&A.
Llama 3.3 70B Versatile — $0.59 / $0.79 per million tokens: The production workhorse — frontier open-weight reasoning at speeds that match or exceed GPT-4 API response time.
Llama 3.2, Llama 4, Mixtral, Gemma, Whisper: Additional models in the Groq catalog with per-token pricing scaled by model size.
Free tier: No credit card required. Access to every model with generous rate limits for development and prototyping. Production workloads require a paid plan with higher limits.
Batch API: Discounted rates for non-real-time bulk processing.
Key Features
- Custom LPU silicon — fastest tokens/second in the industry
- Llama 3.1 8B, 3.3 70B, Llama 4, Mixtral, Gemma, Whisper
- Free tier with no credit card required
- Aggressive pricing from $0.05 per million tokens
- OpenAI-compatible API format
- Function calling and tool use support
- Batch API for bulk processing discounts
- Sub-100ms time-to-first-token on small models
Pros & Cons
Pros
- Consistently the fastest tokens/second for open-weight models
- Genuinely cheap per-token pricing for Llama 3.1 8B and 3.3 70B
- Free tier is actually usable for real prototyping
- OpenAI-compatible format means zero code changes
Cons
- Inference-only — no fine-tuning or managed workflows
- Model catalog is smaller than OpenRouter or Replicate
- Rate limits on free tier can be tight for serious testing
FAQ
Is Groq really faster than GPU inference?
Yes, consistently. Groq's Language Processing Unit (LPU) is custom silicon designed specifically for LLM inference, and it achieves deterministic token generation without the warmup, batching, and scheduling overhead that GPUs require. Third-party benchmarks from Artificial Analysis regularly show Groq delivering 3-10x the tokens-per-second of GPU-based competitors running the same Llama model.
How does Groq Llama pricing compare to OpenAI GPT-4o mini?
Groq's Llama 3.1 8B Instant at $0.05/$0.08 per million tokens is significantly cheaper than OpenAI's GPT-4o mini at $0.15/$0.60. For most high-volume use cases, Llama 3.1 8B on Groq costs about 25-30% of equivalent GPT-4o mini requests while delivering much faster response times.
Is the Groq free tier really usable?
Yes. Unlike some competitors, Groq's free tier genuinely gives you access to every model in their catalog (including Llama 3.3 70B and Llama 4) with rate limits that work for real prototyping — typically 30 requests per minute and generous daily caps. Development, testing, and low-volume internal tools can run free indefinitely.
Can I fine-tune Llama on Groq?
No. Groq is strictly an inference provider. If you need to fine-tune Llama, use Together AI, Fireworks, Anyscale, or AWS Bedrock for managed fine-tuning, then deploy the fine-tuned model via Hugging Face Inference Endpoints or your own infrastructure. Groq only serves models from their curated catalog.
What models does Groq support besides Llama?
Groq's catalog in 2026 includes Llama 3.1 (8B, 70B, 405B variants), Llama 3.2, Llama 3.3 70B Versatile, Llama 4 Scout and Maverick, Mixtral 8x7B, Gemma 2, DeepSeek R1 Distill variants, Whisper for speech-to-text, and Kimi K2. Smaller than OpenRouter but focused on the highest-demand models.
Does Groq support function calling?
Yes. Groq's API is OpenAI-compatible and supports tools (function calling) on models that have been trained for it — primarily Llama 3.1 and 3.3 variants, and Llama 4. The format matches OpenAI's tools API exactly, so agent frameworks like LangGraph, Vercel AI SDK, and OpenAI's Swarm work unchanged.
How is this different from the main Groq tool page?
This page focuses specifically on running Meta's Llama models on Groq's LPU infrastructure. The main Groq review covers Groq as a company, including all supported models, enterprise features, and the broader LPU hardware story.
📋 Good to know
Sign up at console.groq.com, generate a free API key, and point your OpenAI SDK at groq.com/openai/v1.
Groq does not train on API data. Enterprise plans add SOC 2 and data processing agreements.
Move from free tier to paid when you need higher rate limits or SLAs.
Very low — OpenAI SDK compatibility means any GPT-4 code works with a base URL change.