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Groq Free LLM API - Ultra-Low Latency Inference

Groq Free API Details

Verified on 2026-08-23 00:30 +08:00 (source: OneAPI production DB Channel table direct read) Channel slug: | Detail URL:


1. Channel Overview

Groq is a pioneering AI infrastructure company specializing in ultra-low latency inference using their custom LPU (Language Processing Unit) architecture. Their free tier offers 6 chat models, 4 audio models (Whisper + Orpheus), and 3 moderation models with generous rate limits (30 RPM). Ideal for developers needing instant responses.


2. Verified Supported Models

Scope: models_total = 13 (full Channel.models direct read); chat = 6; audio = 4; embedding = 0; moderation = 3

Chat Models (6)

  • allam-2-7b
  • groq/compound
  • groq/compound-mini
  • openai/gpt-oss-120b
  • openai/gpt-oss-20b
  • qwen/qwen3.6-27b

Audio Models (4)

  • canopylabs/orpheus-arabic-saudi
  • canopylabs/orpheus-v1-english
  • whisper-large-v3
  • whisper-large-v3-turbo

Moderation Models (3)

  • meta-llama/llama-prompt-guard-2-22m
  • meta-llama/llama-prompt-guard-2-86m
  • openai/gpt-oss-safeguard-20b

3. Registration

TBD


4. Usage

Base URL:

TBD


5. Verified Metrics

待 it 基准实测 JSON 到料后填充。每数据点标注「实测于 YYYY-MM-DD HH:MM」。

Metric Value Notes
HTTP Status TBD via /models endpoint
Time to First Token TBD ms
Total Response Time TBD ms
TPS TBD tokens/sec
RPM Limit TBD 429 threshold (probed)
TPM Limit TBD 429 threshold (probed)
Daily Limit TBD 429 threshold (probed)

6. Pros & Cons

Pros:

  • LPU delivers sub-100ms latency
  • Generous 30 RPM free tier
  • Diverse portfolio: chat, audio, moderation

Cons:

  • Audio models may need separate activation
  • Specialized moderation models not for general chat

本页由内容维护员于 2026-08-25 生成,数据以 oneapi 权威 JSON 为准。


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