What is the difference between Fireworks AI and SambaNova?

Fireworks AI 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: Fireworks AI 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 Fireworks AI 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.

Fireworks AI vs SambaNova

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

Fireworks AI

Provider 1

Models Available

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SambaNova

Provider 2

Models Available

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Comparison Overview

Total LLM Models

Fireworks AI Models

SambaNova Models

Direct Comparisons

LLM API Pricing Comparison

Total models: 10Both available: 0Fireworks AI: 7SambaNova: 3

Showing 10 of 10 models

Prices per 1M tokens · Last updated: 10/22/2026, 10:39:24 PM

Model ↑	Fireworks AI	SambaNova	Input Diff ↕
DeepSeek V4.1 Flash DeepSeek	$0.300 in $1.20 out	Not available	—
Gemma 4 31B Google	Not available	$0.380 in $1.15 out	—
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	—
GPT-OSS-120B OpenAI	Not available	$0.220 in $0.590 out	—
Inkling Thinking Machines Lab	$1.00 in $4.05 out	Not available	—
Kimi K3 Moonshot AI	$3.00 in $15.00 out	Not available	—
MiniMax-M3 MiniMax	Not available	$0.600 in $2.40 out	—
Muse Spark Open Meta	$1.25 in $4.25 out	Not available	—
Qwen 3.8 Max Alibaba	$2.00 in $6.00 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

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

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

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

Fireworks AI

SambaNova

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

SambaNova

Per token

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

Commits

Prepaid usage commitments

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

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

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

SambaNova

Support

Documentation and the SambaNova Cloud dashboard