What is the difference between Cohere and Wafer?

Cohere 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: Cohere 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 Cohere 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.

Cohere vs Wafer LLM API Pricing 2026

LLM API Pricing Comparison

Total models: 4Both available: 0Cohere: 2Wafer: 2

Showing 4 of 4 models

Prices per 1M tokens · Last updated: 7/22/2026, 5:51:38 PM

Model ↑	Cohere	Wafer	Input Diff ↕
Command R Cohere	$0.150 in $0.600 out	Not available	—
Command R7B Cohere	$0.037 in $0.150 out	Not available	—
GLM-5.1 Zhipu	Not available	$1.00 in $3.20 out	—
GLM-5.2 Zhipu	Not available	$1.20 in $4.10 out	—

Features Comparison

Cohere

Command Model Family
High-performance language models supporting 23 languages with Command, Command R, and Command R+ variants
Aya Multilingual Models
Research-grade multilingual models (8B and 32B) excelling across diverse languages
Transcribe
High-fidelity speech-to-text model supporting 14 languages with robust real-world conversation handling
Embed & Rerank
Multimodal semantic search and relevance optimization for retrieval-augmented generation
Flexible Deployment
Deploy via cloud API, virtual private cloud, on-premises, or Cohere-managed Model Vault
Enterprise Platform (North)
Enterprise-ready AI platform for workplace productivity with intelligent search

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

Cohere

Advantages

Strong enterprise security and compliance focus
Flexible deployment options including on-premises
Excellent multilingual support with Aya models
Competitive pricing for high-quality models

Considerations

Smaller model ecosystem compared to OpenAI or Anthropic
Less name recognition in consumer AI space
Enterprise features may be overkill for smaller projects

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

Cohere

Wafer

Pricing Options

Cohere

Pay-per-token

Per million token pricing starting at $0.30/$0.60 for Command-light

Trial API Key

Free tier with rate limiting for development and testing

Enterprise

Custom pricing for dedicated deployments, Model Vault, and on-premises

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

Cohere

Get Started

1
Create Cohere account
Sign up at dashboard.cohere.com
2
Get API key
Generate a trial or production API key from the dashboard
3
Install SDK
pip install cohere (Python) or npm install cohere-ai (TypeScript)
4
Make first API call
Call the Chat or Generate endpoint with your API key

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

Cohere

Global Regions

Global API access with deployment options including AWS, GCP, Azure, and on-premises installations

Support

Documentation, API reference, cookbooks, Discord community, and enterprise support options

Wafer

Support

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