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Head to head · 2026

Groq vs Hailo

Pricing, free plans, ratings, features, pros and cons, side by side. Where one comes out ahead, we mark it.

Groq

Custom LPU chips built by a former Google TPU architect for near-instant AI inference

4.3Free

Visit Groq (opens Groq in a new tab)

Hailo

Energy-efficient AI processors that bring data-center-class inference to edge devices

4.3Not listed

Visit Hailo (opens Hailo in a new tab)

Who comes out ahead

Based only on the facts in our directory. The right pick still depends on the job you need done.

  • Lower starting price

    Not comparable

    Not comparable: Groq does not list a price

  • Free plan

    Groq

    Only Groq has one

  • Higher rating

    Tie

    4.3 against 4.3

  • Same job?

    Yes

    Both are AI Infrastructure & Agent Tooling tools

Side by side

Compared onGroqHailo
Our rating4.34.3
Starts atFreeNot listed
Free planYesBetterNo
CategoryAI Infrastructure & Agent ToolingAI Infrastructure & Agent Tooling
PlansFreeSee pricing
Key features
  • Custom LPU chips designed specifically for large language model inference
  • GroqCloud free developer tier alongside usage-based production pricing
  • Consistently ranks among the fastest publicly benchmarked inference speeds
  • Founded by Jonathan Ross, a former lead architect of Google's TPU
  • Popular backend choice for real-time voice AI and chat applications
  • Hailo-8 AI processor delivers up to 26 tera-operations per second in a chip smaller than a coin
  • Hailo-10H module supports generative AI and on-device LLM inference at the edge
  • Optimized for power- and space-constrained deployments in cameras, robots, and vehicles
  • Dataflow Compiler and HailoRT SDK for developers building and deploying models
  • Deployed across smart city, automotive, manufacturing, agriculture, and retail applications
Pros
  • Free developer tier makes it easy to benchmark speed before committing to production traffic
  • Inference speed is independently verified, not just a marketing claim
  • Strong fit for real-time, latency-sensitive applications like voice agents
  • Data-center-class inference performance in a chip built for strict power and size budgets
  • Broad vertical deployment across automotive, retail, security, and robotics shows validated technology
  • Backed by $340M+ in funding and a $1.2B valuation, pointing to long-term viability
Cons
  • Model selection is narrower than general-purpose inference providers running any open weight
  • Usage-based token pricing needs monitoring at high production volumes
  • Custom hardware means Groq depends on its own chip roadmap rather than commodity GPU supply
  • No public per-unit or licensing pricing; OEM and enterprise deals go through direct sales
  • Requires hardware integration and embedded-systems expertise, not a plug-in software tool
  • Competes directly against larger, better-resourced edge-AI chip makers
CompanyGroq, founded 2016Hailo, founded 2017

Prices come from each vendor's pricing page, last checked 20260718. Check the vendor before you buy.

FAQ

Questions people ask

Is Groq better than Hailo?

In our reviews Groq scores 4.3 and Hailo scores 4.3. The better pick depends on the job. Groq: Custom LPU chips built by a former Google TPU architect for near-instant AI inference. Hailo: Energy-efficient AI processors that bring data-center-class inference to edge devices.

Which is cheaper, Groq or Hailo?

Groq: free. Hailo: see pricing.

Do Groq and Hailo have free plans?

Only Groq has a free plan.

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