Groq Cloud API

Ultra-fast LLM inference API powered by custom LPU (Language Processing Unit) hardware delivering 300-500+ tokens/second for Llama, Mixtral, and Gemma models.

Evaluated Mar 06, 2026 (0d ago) vcurrent
Homepage ↗ AI & Machine Learning groq lpu low-latency llm-inference llama mixtral fast-inference
⚙ Agent Friendliness
64
/ 100
Can an agent use this?
🔒 Security
83
/ 100
Is it safe for agents?
⚡ Reliability
80
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
--
Documentation
85
Error Messages
83
Auth Simplicity
92
Rate Limits
83

🔒 Security

TLS Enforcement
100
Auth Strength
80
Scope Granularity
70
Dep. Hygiene
83
Secret Handling
83

Simple API key auth, no scope granularity. Data sent to Groq servers — review data handling policies for sensitive workloads.

⚡ Reliability

Uptime/SLA
80
Version Stability
78
Breaking Changes
78
Error Recovery
82
AF Security Reliability

Best When

You need the fastest possible inference for open-weight models (Llama 3.x, Mixtral) and latency is a critical constraint for your agent.

Avoid When

You need proprietary frontier model quality, very long contexts, or guaranteed enterprise uptime — use OpenAI, Anthropic, or cloud providers instead.

Use Cases

  • Real-time agent reasoning loops where latency matters — Groq delivers 10-50x faster tokens than GPU inference
  • Interactive voice AI applications requiring <200ms response time using Groq's low-latency inference
  • High-throughput batch inference for agent evaluation pipelines needing fast model calls
  • Streaming code generation where token-by-token speed dramatically improves UX
  • Fallback inference layer for latency-sensitive agents when primary model is slow

Not For

  • Proprietary frontier models (GPT-4o, Claude, Gemini) — Groq only serves open models
  • Agents needing large context windows >128K tokens (Groq has smaller context support)
  • Production workloads requiring enterprise SLA — Groq is still scaling infrastructure

Interface

REST API
Yes
GraphQL
No
gRPC
No
MCP Server
No
SDK
Yes
Webhooks
No

Authentication

Methods: api_key
OAuth: No Scopes: No

API key as Bearer token. OpenAI-compatible: set base_url to api.groq.com/openai/v1 and use OpenAI SDK.

Pricing

Model: usage_based
Free tier: Yes
Requires CC: No

Significantly cheaper than OpenAI for comparable open model quality. Rate limits are the main constraint on free tier.

Agent Metadata

Pagination
none
Idempotent
No
Retry Guidance
Documented

Known Gotchas

  • Tool calling is supported but model quality for tool use varies — Llama 3.3 70B is best for structured tool calls
  • Context window limits vary by model — verify max_tokens before using for long-document agents
  • Free tier RPM limits are very low (30 RPM) — production agents hit limits quickly; upgrade before deploying
  • Model availability changes frequently as Groq adds/removes models — check available models list before hardcoding model IDs
  • Response streaming is fast but first-token latency still applies — don't assume zero latency even at 500+ tokens/second

Alternatives

Full Evaluation Report

Detailed scoring breakdown, competitive positioning, security analysis, and improvement recommendations for Groq Cloud API.

$99

Scores are editorial opinions as of 2026-03-06.

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