What is the difference between Fireworks AI and Wafer?

Fireworks AI 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: Fireworks AI 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 Fireworks AI 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.

Fireworks AI vs Wafer LLM API Pricing 2026

LLM API Pricing Comparison

Total models: 12Both available: 2Fireworks AI: 12Wafer: 2

Showing 12 of 12 models

Prices per 1M tokens · Last updated: 7/21/2026, 2:43:49 AM

Model ↑	Fireworks AI	Wafer	Input Diff ↕
DeepSeek V4 Flash DeepSeek	$0.140 in $0.280 out	Not available	—
DeepSeek V4 Pro DeepSeek	$1.74 in $3.48 out	Not available	—
GLM-5 Zhipu	$1.40 in $4.40 out	Not available	—
GLM-5.1 Zhipu	$1.40 in $4.40 out	$1.00 in $3.20 out	$0.400
GLM-5.2 Zhipu	$1.40 in $4.40 out	$1.20 in $4.10 out	$0.200
GPT-OSS-120B OpenAI	$0.150 in $0.600 out	Not available	—
GPT-OSS-20B OpenAI	$0.070 in $0.300 out	Not available	—
Kimi K2 Moonshot	$0.950 in $4.00 out	Not available	—
MiniMax M1 MiniMax	$0.300 in $1.20 out	Not available	—
MiniMax M2.7 MiniMax	$0.300 in $1.20 out	Not available	—
Qwen Plus Alibaba	$0.400 in $1.60 out	Not available	—
Qwen3 Reranker 8B Alibaba	$0.200 in $0.0000 out	Not available	—

Features Comparison

Fireworks AI

100+ Open-Source Models
Instant access to latest models like Kimi K2.5, DeepSeek V3.2, GLM-5.1, Qwen3.6 Plus, FLUX.1 Kontext Pro, Whisper V3 Large, and more
Blazing Fast Inference
Industry-leading throughput and latency with fast inference engine
Fine-Tuning Suite
SFT, DPO, and reinforcement fine-tuning of models up to 1T+ parameters with LoRA efficiency
OpenAI-Compatible API
Drop-in replacement - just change the base URL for easy migration
On-Demand GPUs
H100, H200, B200, and B300 deployments with per-second billing and autoscaling
Batch Processing
50% discount for async bulk inference workloads

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

Fireworks AI

Advantages

Lightning-fast inference with industry-leading response times
Easy-to-use API with excellent OpenAI compatibility
Wide variety of optimized open-source models
Competitive pricing with 50% off cached tokens and batch processing

Considerations

Limited capacity with some serverless model limits
Primarily focused on language models over image/video generation
BYOC only available for major enterprise customers

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

Fireworks AI

Wafer

Pricing Options

Fireworks AI

Serverless Inference

Pay-per-token pricing with parameter-based tiers from $0.10 to $0.90 per 1M tokens, plus premium models

Cached tokens

50% discount on cached input tokens for supported models

Batch processing

50% discount on async bulk inference for both input and output tokens

Fine Tuning

Per-training-token pricing for SFT, DPO, and reinforcement learning with LoRA and full parameter options

On-demand GPUs

Per-second billing for H100, H200, B200, and B300 GPU deployments with no startup charges

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

Fireworks AI

Get Started

1
Explore Model Library
Browse 400+ models at fireworks.ai/models
2
Test in Playground
Experiment with prompts interactively without coding
3
Generate API Key
Create an API key from user settings in your account
4
Make first API call
Use OpenAI-compatible endpoints or Fireworks SDK
5
Scale to production
Transition to on-demand GPU deployments for production workloads

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

Fireworks AI

Global Regions

18+ global regions across 8 cloud providers with multi-region deployments and BYOC support for enterprise

Support

Documentation, Discord community, status page, email support, and dedicated enterprise support with SLAs

Wafer

Support

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