Head-to-Head Comparison

Groq vs Together AI

Which Api Platform is right for you? See our complete breakdown.

Groq

6/10 Visit Groq
VS

Together AI

8/10 Our Pick Visit Together AI
FeatureGroqTogether AI
MegaOne Score6/108/10
CategoryApi PlatformApi Platform
Pricing ModelFreemiumPaid Only
Starting Price$0.05/mo$0.05/mo
Free TierYesNo
API AvailableNoNo
Open SourceNoNo
iOS AppNoNo
Android AppNoNo
Chrome ExtensionNoNo
CompanyGroq Inc.Together AI
Total Funding$2.4B$1.3B

Visual Comparison

Score Reach Value Team Funding Reviews
Groq Together AI

About Groq

Groq is an AI inference platform leveraging custom Language Processing Units (LPUs) to deliver extremely fast and low-latency processing for open-source large language models.

Groq designs and operates its own inference hardware, the LPU, offering a token-as-a-service platform called GroqCloud. It enables developers to run open-source large language models at speeds significantly faster than conventional GPUs, making it ideal for real-time AI applications like voice agents and conversational AI. The platform supports a variety of models including Meta's latest Llama 4 series, DeepSeek, GPT-OSS variants, and Whisper for speech-to-text.

About Together AI

Together AI provides GPU infrastructure and model inference services optimized for deploying and fine-tuning open-source generative AI models at scale.

Together AI offers a cloud platform for businesses to train and deploy AI on open-source models like Llama, Mistral, Qwen, and DeepSeek at a lower cost than proprietary systems. It provides GPU infrastructure, serverless inference, fine-tuning, and GPU clusters with performance optimizations, supporting a full model development lifecycle. The platform aims to make intelligence abundant and affordable, enabling developers to build with open-source models without deep infrastructure expertise.

Together AI takes the edge

With a MegaOne score of 8/10 versus 6/10, Together AI edges ahead of Groq in our analysis. However, Groq may still be the better choice depending on your specific use case and budget.