What is the difference between AkashML and SambaNova?

AkashML and SambaNova 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 SambaNova?

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 SambaNova?

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 SambaNova

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

AkashML

Provider 1

Models Available

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SambaNova

Provider 2

Models Available

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Comparison Overview

Total LLM Models

AkashML Models

SambaNova Models

Direct Comparisons

LLM API Pricing Comparison

Total models: 9Both available: 2AkashML: 7SambaNova: 4

Showing 9 of 9 models

Prices per 1M tokens · Last updated: 11/13/2026, 6:03:33 AM

Model ↑	AkashML	SambaNova	Input Diff ↕
Gemma 4 31B Google	Not available	$0.380 in $1.15 out	—
GLM-5.3 Z.ai	$0.190 in $4.40 out	$2.80 in $8.80 out	$2.61
GPT-OSS-120B OpenAI	$0.037 in $0.187 out	$0.220 in $0.590 out	$0.183
GPT-OSS-20B OpenAI	$0.018 in $0.090 out	Not available	—
Kimi K3.1 Pro Moonshot AI	$1.75 in $10.00 out	Not available	—
Llama 3.3 70B Meta	$0.200 in $0.520 out	Not available	—
MiniMax-M3.1-Flash MiniMax	Not available	$0.300 in $1.20 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.

SambaNova

Custom RDU hardware
Models run on SambaNova's own Reconfigurable Dataflow Units rather than GPUs
OpenAI-compatible API
Chat completions for open models such as DeepSeek, Llama, Gemma, MiniMax and gpt-oss
Prompt caching
Cached input tokens billed at a reduced rate on supported models
Commits and credits
Prepaid commitments alongside pay-as-you-go billing

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

SambaNova

Advantages

Serves models on non-GPU hardware built for inference
Public per-token rates for every served model
OpenAI-compatible endpoints

Considerations

Small model catalog compared with GPU-based inference providers
Some models are priced above other providers of the same open weights
No GPU rental; inference only

Compute Services

AkashML

SambaNova

Pricing Options

AkashML

SambaNova

Per token

Input, cached input, and output tokens billed per 1M

Commits

Prepaid usage commitments

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.

SambaNova

Get Started

1
Create an account
Sign up on SambaNova Cloud
2
Create an API key
Generate a key in the API Keys page
3
Call the API
Point an OpenAI-compatible client at api.sambanova.ai

Support & Global Availability

AkashML

Global Regions

Global, with over 80 datacenters available

Support

Real-time chat with platform engineers available via Slack.

SambaNova

Support

Documentation and the SambaNova Cloud dashboard