Groq API
Groq provides ultra-low-latency LLM inference using proprietary Language Processing Units (LPUs), delivering 200-500 tokens/second on models like Llama 3.1 70B and Mixtral 8x7B via an OpenAI-compatible REST API.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
TLS enforced. Single API key credential with no scope restrictions. Groq privacy policy states prompts are not used for training. Data processed in US only. SOC 2 compliance documented.
⚡ Reliability
Best When
You need the fastest possible token generation latency for interactive agents, real-time applications, or iterative reasoning loops where speed is the primary constraint.
Avoid When
You need access to proprietary frontier models, very long context processing, or the cheapest-per-token inference regardless of speed.
Use Cases
- • Power real-time conversational agents requiring sub-100ms first-token latency where GPT-4 or Claude would introduce perceptible lag
- • Run high-throughput classification or extraction pipelines where per-call speed directly multiplies to total batch completion time
- • Build voice-to-text-to-LLM-to-speech pipelines with Groq's Whisper transcription and Llama inference on the same platform for end-to-end latency minimization
- • Execute rapid multi-step chain-of-thought or ReAct agent loops where each reasoning step calls the LLM and speed compounds across iterations
- • Implement latency-sensitive tool-use agents where function call roundtrip time must stay under 200ms to maintain interactive feel
Not For
- • Workloads requiring large context windows beyond what Groq's hosted models support (most top out at 8K-128K tokens)
- • Tasks requiring proprietary models (GPT-4o, Claude, Gemini) not available as open-weight models on Groq's platform
- • Long-running batch jobs where throughput matters more than per-request latency and cost per token is the primary concern
Interface
Authentication
API key passed as Bearer token in Authorization header. Fully OpenAI SDK compatible — set base_url to api.groq.com/openai/v1 and use existing OpenAI client code.
Pricing
Free tier available without credit card. Paid tier requires credit card and lifts rate limits. Among the lowest cost-per-token for fast inference. Input and output tokens billed equally.
Agent Metadata
Known Gotchas
- ⚠ Rate limits are strict and frequently hit on free tier — agents must implement exponential backoff with jitter and respect the x-ratelimit-reset headers to avoid cascading failures
- ⚠ Model availability is limited to a small curated set (~10-15 models); agents cannot access the full open-source model ecosystem available on Fireworks or Together AI
- ⚠ Context window limits vary by model (8192 to 128K tokens); agents must track which Groq-hosted model version is active as availability changes with LPU capacity
- ⚠ Temperature and sampling parameter behavior may differ slightly from GPU-based inference due to LPU architecture; agents should validate output distributions if migrating from other providers
- ⚠ Groq does not support fine-tuned or custom models — only the standard hosted model catalog; agents requiring custom models must use a different provider
Alternatives
Full Evaluation Report
Detailed scoring breakdown, competitive positioning, security analysis, and improvement recommendations for Groq API.
Scores are editorial opinions as of 2026-03-06.