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Flowise vs Groq Comparison

Last updated:

Flowise

4.5(295 reviews)

Starting at Free free

  • Small Business
  • Mid-Market

Flowise is an open-source, low-code tool for building LLM-powered applications and agents through a visual drag-and-drop interface. Developers and non-engineers connect LLM nodes, data loaders, vector stores, memory modu…

Groq

4.6(310 reviews)

Starting at Free free

  • Small Business
  • Mid-Market

Groq is an AI inference company that provides the fastest publicly available LLM API, powered by its proprietary Language Processing Units (LPUs). Where GPU-based inference delivers 50-100 tokens/second, Groq routinely h…

Groq leads on user satisfaction with a 4.6-star rating across 310 reviews.

Flowise vs Groq — at a glance

FeatureFlowiseGroq
Rating4.5 / 54.6 / 5
Reviews295310
Starting priceFree freeFree free
Free trial No No
Free version No No
Best forSmall Business, Mid-Market, EnterpriseSmall Business, Mid-Market, Enterprise
CategoryGenerative AI Infrastructure SoftwareGenerative AI Infrastructure Software
PlatformsCloud, On-Premise, LinuxCloud, On-Premise
APIAvailableAvailable
Support modesGitHub Issues, Discord Community, Help Center, Enterprise SupportDeveloper Discord, Help Center, Email Support, Enterprise Support

Key differences between Flowise and Groq

  • Pricing: Flowise starts at Free free, while Groq starts at Free free.
  • User satisfaction: Groq scores higher with a 4.6-star average.
  • Deployment: Flowise supports Cloud, On-Premise, Linux; Groq supports Cloud, On-Premise.

Flowise vs Groq — find the better fit before you commit.

01

Which tool fits your team best

02

Which is actually cheaper for your team size

03

Where each product wins, per real buyers

Most Generative AI Infrastructure Software tools look identical on paper. This comparison cuts to the differences that matter — pricing structure, team fit, and what real buyers found after signing up.

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Biggest differences

Start here before you go deeper into features.

Flowise

Best for

Small Business, Mid-Market, Enterprise

Groq

Best for

Small Business, Mid-Market, Enterprise

Flowise typically suits Small Business and Mid-Market. Groq tends to fit Small Business and Mid-Market better. The right choice depends on your team size, workflow, and whether a free trial matters.

Description

Flowise is an open-source, low-code tool for building LLM-powered applications and agents through a visual drag-and-drop interface. Developers and non-engineers connect LLM nodes, data ... Read More about Flowise

Groq is an AI inference company that provides the fastest publicly available LLM API, powered by its proprietary Language Processing Units (LPUs). Where GPU-based inference delivers 50-100 ... Read More about Groq

Entry Level Pricing

  • Starts from Free
  • Starts from Free

Free Trial Availability

  • No free trial
  • No free trial

SpotScore

What's this? ↗

9.0/10

9.2/10

User Ratings

Based on verified Spotsaas reviews
Get pricing help
Get pricing help

Where each option fits best

See where each product is strongest, which teams it fits, and what causes buyers to keep looking — before you commit.

Based on buyer reviews and verified product data collected by Spotsaas.

Strengths

Key strengths

Flowise

  • LLM Apps Without Code: Product managers and non-engineers can build and iterate on RAG pipelines and chatbots without developer dependency.
  • From Idea to API in Minutes: Visual flow → REST API endpoint in one click — prototype to deployed AI service faster than any code-first approach.
  • Self-Hosted Privacy: Run Flowise on company infrastructure to keep all document ingestion, LLM calls, and conversation data on-premise.

Groq

  • Real-Time AI Interactions: At 500+ tokens/second, Groq lets you get AI responses that feel instantaneous — important for voice agents, live coding assistants, and customer-facing chatbots.
  • Drop-In OpenAI Replacement: OpenAI SDK compatibility means switching from GPT-3.5 to Groq-hosted Llama 3 requires changing one line of code — no integration work.
  • Cost Efficiency at Scale: Groq's per-token pricing for open-source models is significantly cheaper than proprietary model APIs at comparable intelligence levels.
Best fit

Best fit

Flowise

  • Non-engineering teams building internal knowledge base chatbots over company documents without writing code
  • Rapid prototyping of RAG pipelines before committing to a code-first implementation
  • Customer support teams deploying AI chatbots by combining their knowledge base with an LLM via visual canvas

Groq

  • Voice AI companies needing sub-200ms LLM response times for natural-feeling conversational agents
  • Coding assistant products requiring real-time code generation without the lag of GPU inference
  • Teams replacing GPT-3.5 with open-source Llama 3 on Groq for cost reduction at high API call volumes

Software Demo

Demo

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How do Flowise and Groq Compare on Features?

Total Features

9 Features

4 Features

Unique Features

No unique features

No unique features

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Get Quote

Compare Flowise and Groq on pricing

Review starting price, plan structure, and free-trial access side by side so you can see which option fits your budget and buying process.

Pricing Option

      Starting From

      • Free
      • Free

      Pricing Plans

      • Free

        Free

        • Rate-limited API access

        • All public models

        • Developer console

        Show more +

      • Developer

        Custom

        paid

        • Higher rate limits

        • Pay-per-token

        • All models

        Show more +

      • Enterprise

        Custom

        paid

        • Dedicated capacity

        • SLA

        • On-premise LPU option

        Show more +

      Other Details

      Organization Types supported

          Platforms Supported

          • Browser Based (Cloud)
          • Browser Based (Cloud)

          Modes of support

          • 24/7 (Live rep)
          • Business Hours
          • Online
          • 24/7 (Live rep)
          • Business Hours
          • Online

          API Support

          • Available
          • Available
          Get help choosing
          Get help choosing

          Flowise User Reviews & Rating Comparison

          User Ratings

          4.5

          (based on 295 reviews)

          4.6

          (based on 310 reviews)

          Rating Distribution

          0

          0

          0

          0

          0

          0

          0

          0

          0

          0

          Spotsaas Editor’s POV generated by AI

          Buyer sentiment

          Buyer sentiment is very strong across 295 reviews, with consistently positive feedback.

          What buyers like

          • 28,000+ GitHub stars — the most popular open-source visual LLM builder, with extensive community templates and a large pool of available help.
          • Drag-and-drop canvas makes RAG pipeline construction accessible to non-engineers and product teams who would otherwise wait for developer bandwidth.
          • Self-hosted Apache 2.0 license means internal AI tools and sensitive RAG pipelines can run on company infrastructure without external data exposure.

          Common complaints

          • Visual builders produce harder-to-version-control and harder-to-test flows than code — teams with mature CI/CD practices may prefer code-first frameworks.
          • Complex logic (conditionals, loops, error handling) is harder to express visually than in code — very sophisticated workflows often require code customization anyway.

          Buyer sentiment

          Buyer sentiment is very strong across 310 reviews, with consistently positive feedback.

          What buyers like

          • 5-10x faster than GPU-based inference — the speed difference is perceptible in real-time applications like voice agents and interactive coding assistants.
          • OpenAI-compatible API means existing applications built on the OpenAI SDK can switch to Groq with a single environment variable change.
          • Free tier with generous rate limits makes evaluation and prototyping accessible without upfront cost commitment.

          Common complaints

          • Model selection is limited to open-source models (Llama, Mixtral, Gemma) — teams requiring GPT-4 or Claude must use other providers.
          • Free tier rate limits are hit quickly at production volumes; scaling to meaningful throughput requires transitioning to paid usage-based pricing.

          Pros and Cons

          • 28,000+ GitHub stars — the most popular open-source visual LLM builder, with extensive community templates and a large pool of available help.

          • Drag-and-drop canvas makes RAG pipeline construction accessible to non-engineers and product teams who would otherwise wait for developer bandwidth.

          • Self-hosted Apache 2.0 license means internal AI tools and sensitive RAG pipelines can run on company infrastructure without external data exposure.

          • Visual builders produce harder-to-version-control and harder-to-test flows than code — teams with mature CI/CD practices may prefer code-first frameworks.

          • Complex logic (conditionals, loops, error handling) is harder to express visually than in code — very sophisticated workflows often require code customization anyway.

          • 5-10x faster than GPU-based inference — the speed difference is perceptible in real-time applications like voice agents and interactive coding assistants.

          • OpenAI-compatible API means existing applications built on the OpenAI SDK can switch to Groq with a single environment variable change.

          • Free tier with generous rate limits makes evaluation and prototyping accessible without upfront cost commitment.

          • Model selection is limited to open-source models (Llama, Mixtral, Gemma) — teams requiring GPT-4 or Claude must use other providers.

          • Free tier rate limits are hit quickly at production volumes; scaling to meaningful throughput requires transitioning to paid usage-based pricing.

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          Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].

          Frequently asked questions

          Which is better, Flowise or Groq?
          Groq edges out the other on user ratings (4.6 vs 4.5). That said, the best pick depends on your use case — use the comparison tables above to evaluate each dimension.
          Do Flowise and Groq offer a free trial?
          Neither Flowise nor Groq currently lists a free trial.
          What is the starting price of Flowise vs Groq?
          Flowise starts at Free free. Groq starts at Free free.