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Groq vs RunInfra: 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 RunInfra side by side. This page compares data; it is not a hands-on review.

On the data: On the data below, Groq leads on a free plan. We do not name an overall winner for this pair.

Data comparison compiled by Toolradar, not hand-reviewed Methodology
Data comparison Pricing checked Oct 27, 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 a free tier before you commit

RunInfra

Serve open models to agents with one API for OpenAI and Anthropic SDKs

Best for you if:

  • • You want high cache-hit rates reduce effective input costs for repeated agent context
At a glance: Groq vs RunInfra
At a Glance
Groq Groq
RunInfra RunInfra
Starts at
Free plan
From $10/mo, billed monthly Starter plan
Category
Cloud & Infrastructure GPU Cloud
AI Model Deployment
Rating
n/a n/a
Free plan
Yes No
Watch out for
Batch API discount requires minimum volume $5 minimum top-up on Pay as you go

Choose Groq or RunInfra?

Groq

Choose Groq if

  • You want a free tier before you commit
  • 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
  • You work in cloud & infrastructure, not AI model deployment
RunInfra

Choose RunInfra if

  • You want high cache-hit rates reduce effective input costs for repeated agent context
  • You want single API key works across OpenAI and Anthropic SDKs, simplifying integration
  • You work in AI model deployment, not cloud & infrastructure

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

RunInfra RunInfra

Serve open models to agents with one API for OpenAI and Anthropic SDKs

Good value

The pricing is fair for teams needing consistent inference for coding agents, with the $10/mo Starter offering a low entry point for light usage.

Watch out

$5 minimum top-up on Pay as you go

Strengths

  • Pro: High cache-hit rates reduce effective input costs for repeated agent context
  • Pro: Single API key works across OpenAI and Anthropic SDKs, simplifying integration
  • Pro: Offers both pay-as-you-go credits and monthly coding plans to fit different usage patterns

Weaknesses

  • Con: Cache hits are best effort rather than guaranteed
  • Con: Self-serve pay-as-you-go tier has no contractual SLA

Key features

OpenAI-compatible chat completions and Anthropic-compatible Messages endpoints through one key Session-aware routing that keeps repeat calls on the warm replica holding the session context Cached input tokens billed at a reduced per-token price on supported models Coding plans for Claude Code, opencode, Codex, and over 20 other agents, with usage limits that reset every 5 hours and weekly Free Standby access when a coding plan limit is reached Per-token pricing with as little as a $5 credit top-up that stays valid for one year

Plans and prices: Groq vs RunInfra

Plans and prices of Groq and RunInfra, 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
RunInfra
  • Pay as you go: Usage-based, one-time or minimum-commitment pricing
  • Starter: $10/mo, billed monthly
  • Pro: $29/mo, billed monthly
  • Team: $99/mo, billed monthly
  • Enterprise: Custom pricing
runinfra.ai/pricing read Oct 27, 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 RunInfra pricing.

Key Takeaways

Groq

  • Has a free plan

RunInfra

  • Choose if you want serve open models to agents with one API for OpenAI and Anthropic SDKs

What the data shows

On the data below, Groq leads on a free plan. We do not name an overall winner for this pair.

  • RunInfra starts at $10/mo, billed monthly; Groq has no public paid plan price on file.
  • Only Groq has 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 RunInfra compare in 2026?

On the data below, Groq leads on a free plan. We do not name an overall winner for this pair. RunInfra starts at $10/mo, billed monthly; Groq has no public paid plan price on file. Only Groq has a free plan.

What are Groq and RunInfra used for?

Groq: Ultra-fast LLM inference platform. RunInfra: Serve open models to agents with one API for OpenAI and Anthropic SDKs.

What does Groq cost vs RunInfra?

Groq has no public paid-plan price on file. RunInfra's cheapest paid plan is Starter at $10/mo, billed monthly. Prices read on the vendors' pricing pages, latest check Oct 27, 2026.

What's the main difference between Groq and RunInfra?

Groq's main strength: fastest inference speeds available, often 500-1000+ tokens per second on supported models. RunInfra's main strength: high cache-hit rates reduce effective input costs for repeated agent context.

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