What is the difference between Fireworks AI and Inception?

Fireworks AI and Inception 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 Inception?

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 Inception?

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 Inception

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

Fireworks AI

Provider 1

Models Available

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Inception

Provider 2

Models Available

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Comparison Overview

Total LLM Models

Fireworks AI Models

Inception Models

Direct Comparisons

LLM API Pricing Comparison

Total models: 6Both available: 0Fireworks AI: 4Inception: 2

Showing 6 of 6 models

Prices per 1M tokens · Last updated: 10/25/2026, 11:21:06 PM

Model ↑	Fireworks AI	Inception	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	—
Mercury 2 Inception	Not available	$0.250 in $0.750 out	—
Mercury 3 Inception	Not available	$0.100 in $0.350 out	—
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

Inception

Mercury chat models
Chat Completions endpoint for the Mercury models, with tool calling, structured outputs and selectable reasoning effort
Code completion and next-edit
Fill-in-the-middle and edit endpoints served by the Mercury Edit code model for IDE autocomplete
Mercury Decide
A decisions endpoint for classification and scoring over shared context, returning calibrated probabilities
Prompt caching
Cached input tokens are billed at a reduced rate

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

Inception

Advantages

First-party access to the Mercury diffusion models
OpenAI-compatible API
Cached-input rates published per model
Also available through OpenRouter, AWS Bedrock and Azure Foundry

Considerations

Only Inception's own models are offered
Older Mercury models are closed to new users

Compute Services

Fireworks AI

Inception

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

Inception

Per token

Input, cached input and output tokens billed per 1M

Enterprise

Dedicated capacity, private networking and custom terms through sales

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

Inception

Get Started

1
Create an account
Sign up on the Inception Platform
2
Create an API key
Generate a key in the platform dashboard
3
Call the API
Send requests to api.inceptionlabs.ai with an OpenAI-compatible client or the Inception SDKs

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

Inception

Support

Documentation, Discord community and enterprise sales