What is the difference between Fireworks AI and Replicate?

Fireworks AI and Replicate 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 Replicate?

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 Replicate?

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 Replicate

Compare LLM inference API pricing between Fireworks AI and Replicate. Find the best rates for AI training, inference, and ML workloads.

Fireworks AI

Provider 1

Models Available

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Replicate

Provider 2

Models Available

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Comparison Overview

Total LLM Models

Fireworks AI Models

Replicate Models

Direct Comparisons

LLM API Pricing Comparison

Total models: 4Both available: 0Fireworks AI: 4Replicate: 0

Showing 4 of 4 models

Prices per 1M tokens · Last updated: 10/25/2026, 2:56:15 PM

Model ↑	Fireworks AI	Replicate	Input Diff ↕
DeepSeek V4.1 Flash DeepSeek	$0.300 in $1.20 out	Not available	—
GLM-5.3 Z.ai	$1.40 in $4.40 out	Not available	—
GLM-5.3-Flash Z.ai	$0.150 in $0.500 out	Not available	—
MiniMax-M3.1-Flash MiniMax	$0.150 in $0.600 out	Not available	—

Features Comparison

Fireworks AI

100+ Open-Source Models
Text, vision, audio, image, and embedding models, including recent releases such as Kimi K3, GLM 5.2, DeepSeek V4, MiniMax M3, and Qwen3.7 Plus
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, from guided runs through writing your own trainer and RL loop
OpenAI- and Anthropic-Compatible API
Drop-in replacement for closed-model APIs - change the base URL to migrate, with the same SFT data format for fine-tuning
On-Demand GPUs
H100, H200, B200, B300, and GB300 deployments with per-second billing and autoscaling
Batch Processing
Async bulk inference jobs run at scale for less than standard serverless requests

Replicate

Vast Model Library
Access thousands of open-source models including LLMs, image generators, and more
Simple API
Consistent REST API across all models with webhooks for async processing
Custom Model Hosting
Deploy your own models using Cog containerization
Serverless Scaling
Automatic scaling with cold-start optimization

Pros & Cons

Fireworks AI

Advantages

Lightning-fast inference with industry-leading response times
Easy-to-use API with OpenAI and Anthropic compatibility
Wide variety of optimized open-source models
Discounted pricing for cached tokens and batch inference

Considerations

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

Replicate

Advantages

Largest selection of open-source models on one platform
Simple pay-per-prediction pricing with no minimum
Easy deployment of custom models via Cog
Active community contributing new models daily

Considerations

Cold start latency for less popular models
Pricing can be unpredictable for high-volume use
Less optimized than specialized inference providers

Compute Services

Fireworks AI

Replicate

Pricing Options

Fireworks AI

Serverless Inference

Pay-per-token pricing across Standard, Priority, and Fast serverless tiers with postpaid billing and no cold starts

Cached tokens

Cached input tokens billed at a reduced rate on supported models

Batch processing

Async bulk inference billed at a discount to standard serverless requests

Embeddings

Embedding models billed per 1M input tokens, tiered by model parameter count

Fine Tuning

Supervised and preference fine tuning billed per 1M training tokens with LoRA or full-parameter options; reinforcement fine tuning billed per GPU hour

Serverless Training API

Shared always-on trainer pool for LoRA training with no provisioning or idle cost, billed per token prefilled, sampled, and trained

On-demand GPUs

Per-second billing for H100, H200, B200, B300, and GB300 GPU deployments with no start-up charges; region-restricted deployments in the US or Europe are priced at 1.25x the standard rate

Reserved capacity

Guaranteed capacity with higher rate limits and earliest access to new hardware, arranged through sales

Replicate

Pay-per-prediction

Charged per model run based on compute time and hardware

Free tier

Limited free predictions for new users

Getting Started

Fireworks AI

Get Started

1
Explore Model Library
Browse 100+ 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

Replicate

Get Started

1
Create an account
Sign up at replicate.com with GitHub or email
2
Get API token
Copy your API token from account settings
3
Run a prediction
Use the API or Python client to run any model

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

Replicate

Global Regions

US-based infrastructure with global CDN

Support

Documentation, Discord community, email support