What is the difference between AkashML and Fireworks AI?

AkashML and Fireworks AI 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: AkashML or Fireworks AI?

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 AkashML and Fireworks AI?

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

AkashML vs Fireworks AI

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

AkashML

Provider 1

Models Available

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Fireworks AI

Provider 2

Models Available

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Comparison Overview

Total LLM Models

AkashML Models

Fireworks AI Models

Direct Comparisons

LLM API Pricing Comparison

Total models: 10Both available: 2AkashML: 7Fireworks AI: 5

Showing 10 of 10 models

Prices per 1M tokens · Last updated: 11/13/2026, 6:03:34 AM

Model ↑	AkashML	Fireworks AI	Input Diff ↕
DeepSeek V4.1 Flash DeepSeek	Not available	$0.300 in $1.20 out	—
GLM-5.3 Z.ai	$0.190 in $4.40 out	$1.40 in $4.40 out	$1.21
GLM-5.3-Flash Z.ai	Not available	$0.150 in $0.500 out	—
GPT-OSS-120B OpenAI	$0.037 in $0.187 out	Not available	—
GPT-OSS-20B OpenAI	$0.018 in $0.090 out	Not available	—
Kimi K3.1 Pro Moonshot AI	$1.75 in $10.00 out	$2.00 in $10.00 out	$0.250
Llama 3.3 70B Meta	$0.200 in $0.520 out	Not available	—
MiniMax-M3.1-Flash MiniMax	Not available	$0.150 in $0.600 out	—
Qwen3.6 35B A3B Alibaba	$0.100 in $0.900 out	Not available	—
Qwen3.8 27B Alibaba	$0.225 in $1.98 out	Not available	—

Features Comparison

AkashML

Decentralized Infrastructure
Utilizes Akash's global resources for AI inference.
Low Latency
Optimized for fastest request times with global reach.
Open Model Lifecycle
Users have control over updates and upgrades.
Seamless Migration
Drop-in API compatibility for easy transitions.
Direct Support
Real-time assistance from engineers without intermediaries.

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
Low-Latency Inference
Inference engine focused on throughput and latency
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

Pros & Cons

AkashML

Advantages

Global infrastructure for reduced latency
Decentralized network may offer cost efficiency
Flexible deployment options at scale
User control over model lifecycle and upgrades

Considerations

Limited availability of specific models
Dependency on the Akash Network for performance
Initial setup may require some technical knowledge

Fireworks AI

Advantages

Low-latency inference with a focus on 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

Compute Services

AkashML

Fireworks AI

Pricing Options

AkashML

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

Getting Started

AkashML

Get Started

1
Sign up
Create a free account on the AkashML platform.
2
Set up your workflow
Select models and deploy with a single click or API call.
3
Run inference
Send requests via API or Playground, adjusting scale as needed.

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

Support & Global Availability

AkashML

Global Regions

Global, with over 80 datacenters available

Support

Real-time chat with platform engineers available via Slack.

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