Groq vs OpenRouter
Detailed comparison between Groq and OpenRouter. Which one to choose for your project?
G
Groq
4.6/5 · 18
O
OpenRouter
4.6/5 · 48
Our verdict is revealed after the rounds. Scroll for the analysis →
Head to Head
Our recommendation
Groq
Fast, low-cost AI inference at scale
4.6/5 (18 reviews)
Price
Free plan available Key features
- Custom silicon built for sequential LLM token generation
- OpenAI-compatible REST API for drop-in integration
- Hosted Llama family and other open-weight models
- API key management, usage tracking and docs
OpenRouter
One API to route your requests across 400+ LLMs from every provider
4.6/5 (48 reviews)
Price
Free plan available Key features
- A single endpoint for every model: the OpenAI SDK works without changing your code
- Anthropic, OpenAI, Google, Meta, Mistral, DeepSeek, xAI and many more in one place
- Spreads requests across providers and fails over on downtime to maximize uptime
- Pay-per-token via a credit balance shared across every model, with no monthly commitment
Groq vs OpenRouter — Specs at a glance
| Criteria | Groq | OpenRouter |
|---|---|---|
| Rating | 4.6/5 · 18 reviews | 4.6/5 · 48 reviews |
| Pricing model | usage based | usage based |
| Starting price | Free plan + paid from $0.05/1M tokens | Free plan + paid from Pay-per-token |
| Free plan | Yes | Yes |
| Best for | Developers needing the fastest, lowest-cost inference of open LLMs via a simple API | Developers and product teams who want to test and run multiple LLMs through a single API, without managing a per-provider integration and billing |
Groq — Pros and Cons
Pros
- Among the fastest inference latency/throughput (LPU advantage)
- Very low, transparent per-token pricing
- Genuine free tier with no credit card
- OpenAI-compatible API means minimal migration
Cons
- Limited to hosted open models (no proprietary fine-tune hosting)
- Free-tier rate limits constrain production use
- Enterprise/private deployment is invite-based, not self-serve
OpenRouter — Pros and Cons
Pros
- One integration and one key for 400+ models from 60+ providers
- OpenAI drop-in compatible: migrate without rewriting code
- Automatic routing and failover for uptime and best price
- Prepaid credits, no subscription, plus free models to test
Cons
- 5.5% credit-purchase fee ($0.80 minimum) on top of token costs
- 5% BYOK fee above one million requests per month
- Middleman layer: reliance on a third party for your production calls
- Free models are subject to strict rate limits
Frequently asked questions
Which one is cheaper: Groq or OpenRouter?
Both Groq and OpenRouter offer a free plan, so you can start with either at no cost. Groq has the lowest paid entry point (Free plan + paid from $0.05/1M tokens).
Does Groq or OpenRouter offer a free plan?
Yes, both Groq and OpenRouter offer a free plan.
Which has the higher user rating, Groq or OpenRouter?
Both Groq and OpenRouter are rated 4.6/5 by users.
What is Groq best for compared to OpenRouter?
Groq is best for developers needing the fastest, lowest-cost inference of open llms via a simple api. OpenRouter is best for developers and product teams who want to test and run multiple llms through a single api, without managing a per-provider integration and billing. Choose based on which use case matches your needs.
Should I choose Groq or OpenRouter?
Pick Groq if you need developers needing the fastest, lowest-cost inference of open llms via a simple api, and OpenRouter for developers and product teams who want to test and run multiple llms through a single api, without managing a per-provider integration and billing. Groq has the lower entry price (Free plan + paid from $0.05/1M tokens), while Groq edges ahead on user ratings at 4.6/5. Try any free plan before you commit.
