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Groq vs Modal: Pricing and Ratings Compared (2026)

Entry prices and free plans as read on each vendor's pricing page, and user ratings as published on review sites, for Groq and Modal side by side. This page compares data; it is not a hands-on review.

On the data: On the data below the two are close or not directly comparable, so we do not name a winner for this pair.

Data comparison compiled by Toolradar, not hand-reviewed Methodology
Data comparison 11 user reviews compared Pricing checked Oct 8, 2026

Short on time? Here's the quick answer

Based on published vendor pricing and features and on public review data, here's who should pick what:

Groq

Ultra-fast LLM inference platform

Best for you if:

  • • You want fastest inference speeds available, often 500-1000+ tokens per second on supported models

Modal

High-performance AI infrastructure for developers to deploy, train, and scale ML workloads.

Best for you if:

  • • You want serverless Python
At a glance: Groq vs Modal
At a Glance
Groq Groq
Modal Modal
Starts at
Free plan
Free plan, paid from $250/mo, billed monthly Team plan
Category
Cloud & Infrastructure GPU Cloud
Cloud & Infrastructure Hosting & Deployment
Rating
n/a 4.1/5 G2 4.1 · Capterra 4.0 11 reviews
Free plan
Yes Yes
Watch out for
Batch API discount requires minimum volume n/a

Choose Groq or Modal?

Groq

Choose Groq if

  • You want fastest inference speeds available, often 500-1000+ tokens per second on supported models
  • You want transparent per-token pricing with no monthly fees or minimum spend
Modal

Choose Modal if

  • You want serverless Python
  • You want GPU support

In-Depth Analysis

Groq Groq

Ultra-fast LLM inference platform

Good value

Groq's Free Tier is generous for experimentation, but the Pay-as-you-go pricing for Llama 3.1 8B at $0.05/M input tokens is competitive with other inference APIs, while Llama 4 Scout at $0.11/M is slightly above average for mid-size models.

Watch out

Batch API discount requires minimum volume

Strengths

  • Pro: Fastest inference speeds available, often 500-1000+ tokens per second on supported models
  • Pro: Transparent per-token pricing with no monthly fees or minimum spend
  • Pro: Drop-in replacement for OpenAI API with minimal integration effort
  • Pro: Wide model selection spanning LLMs, speech recognition, and text-to-speech
  • Pro: Prompt caching and batch API cut costs significantly for high-volume workloads

Weaknesses

  • Con: No proprietary frontier model, relies entirely on open-source model ecosystem
  • Con: Model selection is narrower than major cloud providers like AWS Bedrock or Azure AI
  • Con: Text-to-speech limited to a small number of languages and voices
  • Con: No built-in fine-tuning or model customization capabilities
  • Con: Enterprise on-premises pricing requires custom sales engagement with no public rates

Key features

Custom LPU inference chip delivering sub-second latency on large language models OpenAI-compatible API requiring minimal code changes to migrate existing applications Support for 10+ open-source LLMs including Llama 4, Qwen3, and GPT-OSS families Whisper-based automatic speech recognition at up to 228x real-time speed Text-to-speech generation via Canopy Labs Orpheus models in multiple languages Prompt caching with 50% input token discount for repeated context

Modal Modal

High-performance AI infrastructure for developers to deploy, train, and scale ML workloads.

Good value

This structure is best for individual developers and small to medium-sized teams scaling their ML workloads.

Strengths

  • Pro: Serverless Python
  • Pro: GPU support
  • Pro: Good DX
  • Pro: Fair pricing
  • Pro: Active development

Weaknesses

  • Con: Newer platform
  • Con: Python focused
  • Con: Vendor lock-in
  • Con: Learning curve
  • Con: Limited regions

Key features

Serverless compute GPU support Container functions Scheduling Volume storage Python native

Plans and prices: Groq vs Modal

Plans and prices of Groq and Modal, as read on each vendor's pricing page. Each plan keeps its own billing unit.
Tool Plans and prices Source
Groq
  • Free Tier: Free
  • Pay-as-you-go: Usage-based, one-time or minimum-commitment pricing
  • Enterprise: Custom pricing
groq.com/pricing read Sep 30, 2026
Modal
  • Starter: Free
  • Team: $250/mo, billed monthly
  • Enterprise: Custom pricing
modal.com/pricing read Oct 8, 2026

Prices as read on each vendor's own pricing page on the date shown. Plans are listed per tool and are not matched against the other tool's plans: a plan name or price in one column says nothing about the same row in the other. Details on Groq pricing and Modal pricing.

Key Takeaways

Groq

  • Choose if you want ultra-fast LLM inference platform

Modal

  • Choose if you want high-performance AI infrastructure for developers to deploy, train, and scale ML workloads

What the data shows

On the data below the two are close or not directly comparable, so we do not name a winner for this pair.

  • Only Modal has a published user rating (4.1/5 from 11 reviews); Groq has none we can show.
  • Modal starts at $250/mo, billed monthly; Groq has no public paid plan price on file.
  • Both have a free plan.

Criteria: user rating (only above 20 reviews on both sides, gap of 0.2 or more), entry price (only on the same billing basis), free plan. How we rate

Frequently Asked Questions

How do Groq and Modal compare in 2026?

On the data below the two are close or not directly comparable, so we do not name a winner for this pair. Only Modal has a published user rating (4.1/5 from 11 reviews); Groq has none we can show. Modal starts at $250/mo, billed monthly; Groq has no public paid plan price on file. Both have a free plan.

What are Groq and Modal used for?

Groq: Ultra-fast LLM inference platform. Modal: High-performance AI infrastructure for developers to deploy, train, and scale ML workloads.

What does Groq cost vs Modal?

Groq has no public paid-plan price on file. Modal's cheapest paid plan is Team at $250/mo, billed monthly; it also has a free plan. Prices read on the vendors' pricing pages, latest check Oct 8, 2026.

What's the main difference between Groq and Modal?

Groq's main strength: fastest inference speeds available, often 500-1000+ tokens per second on supported models. Modal's main strength: serverless Python.

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