What is the difference between Groq and Wafer?

Groq and Wafer are both cloud GPU providers offering different pricing models, features, and GPU availability. Use our comparison tool to see real-time pricing and feature differences.

Which is cheaper: Groq or Wafer?

Pricing varies by GPU model and usage requirements. Check our real-time comparison table to find the best deals for your specific needs.

Can I switch between Groq and Wafer?

Yes, both providers offer flexible cloud GPU services. However, consider factors like data transfer costs, setup time, and specific features when switching between providers.

Groq vs Wafer LLM API Pricing 2026

LLM API Pricing Comparison

Total models: 10Both available: 0Groq: 8Wafer: 2

Showing 10 of 10 models

Prices per 1M tokens · Last updated: 7/21/2026, 2:43:28 AM

Model ↑	Groq	Wafer	Input Diff ↕
GLM-5.1 Zhipu	Not available	$1.00 in $3.20 out	—
GLM-5.2 Zhipu	Not available	$1.20 in $4.10 out	—
GPT-OSS-120B OpenAI	$0.150 in $0.600 out	Not available	—
GPT-OSS-20B OpenAI	$0.075 in $0.300 out	Not available	—
Kimi K2 Moonshot	$1.00 in $3.00 out	Not available	—
Llama 3.1 8B Meta	$0.050 in $0.080 out	Not available	—
Llama 3.3 70B Meta	$0.590 in $0.790 out	Not available	—
Llama 4 Scout Meta	$0.110 in $0.340 out	Not available	—
Qwen 3 32B Alibaba	$0.290 in $0.590 out	Not available	—
Qwen 3.6 27B Alibaba	$0.600 in $3.00 out	Not available	—

Features Comparison

Groq

LPU-Powered Inference
Custom Language Processing Units deliver industry-leading inference speeds
OpenAI-Compatible API
Drop-in replacement for OpenAI API with minimal code changes
Free Tier Available
Generous free tier for experimentation and small projects
Ultra-Low Latency
Sub-second time-to-first-token for interactive applications

Wafer

Serverless Inference
Pay-as-you-go API access to hosted open-source models including GLM, Kimi, Qwen, and DeepSeek with no infrastructure management
Dedicated Endpoints
Custom-tuned inference deployments with performance guarantees, provisioned in under 24 hours
Automated Performance Optimization
Agents profile inference bottlenecks and tune across serving engines (vLLM, SGLang, TensorRT-LLM), custom kernels (CUDA, HIP, Triton, NKI), quantization (FP8/FP4), and decode strategies
Multi-Accelerator Hardware
Workloads run on NVIDIA B200/B300, AMD MI350X/MI355X, and AWS Trainium depending on the model and traffic shape
OpenAI- and Anthropic-Compatible API
OpenAI-compatible endpoint at pass.wafer.ai/v1 and Anthropic-compatible endpoint at pass.wafer.ai/v1/messages, both using Bearer token authentication
Prompt Caching
Cached input tokens are billed at reduced rates on supported models

Pros & Cons

Groq

Advantages

Fastest inference speeds in the industry (500+ tokens/second)
OpenAI-compatible API for easy integration
Competitive pricing for open-source models
Free tier available for testing

Considerations

Limited model selection compared to larger providers
Focus on inference only - no training capabilities
Newer platform with less ecosystem maturity

Wafer

Advantages

High-throughput serving with results independently benchmarked on Artificial Analysis
Prompt caching with discounted cached-input rates
Dedicated endpoints set up in under 24 hours
Runs across NVIDIA, AMD, and AWS Trainium accelerators rather than a single vendor

Considerations

Small serverless model catalog centered on the GLM family
Inference only - no GPU rental, training, or fine-tuning hosting
Early-stage company with a smaller ecosystem than established inference providers

Compute Services

Groq

Wafer

Pricing Options

Groq

Pay-per-token

Simple token-based pricing with separate input/output rates

Free tier

Rate-limited free access for development and testing

Wafer

Pay-per-token

Prepaid credits with separate input and output token rates per model and no subscription

Cached input

Reduced rates for cached input tokens on supported models

Dedicated endpoints

Custom pricing for dedicated deployments with tuned performance targets, arranged with the sales team

Getting Started

Groq

Get Started

1
Create an account
Sign up at console.groq.com with email or OAuth
2
Get API key
Generate an API key from the console dashboard
3
Make API calls
Use the OpenAI-compatible endpoint with your preferred model

Wafer

Get Started

1
Create an account
Sign up at app.wafer.ai and load credits for pay-as-you-go usage
2
Generate an API key
Create a key in the console and pass it as a Bearer token
3
Make your first request
Call the OpenAI-compatible endpoint at pass.wafer.ai/v1 with a model from the serverless catalog

Support & Global Availability

Groq

Global Regions

Global availability via cloud infrastructure

Support

Documentation, Discord community, email support

Wafer

Support

Documentation at docs.wafer.ai, email support (hi@wafer.ai), and scheduled onboarding calls for enterprise