Fireworks AI vs vLLM

Fireworks AI vs vLLM: side-by-side comparison of two inference platforms & gateways systems — architecture, taxonomy, license, pricing, MCP/A2A support, and direct edges.

Fireworks AI · vLLM

Cost & capability

Fireworks AIvLLM
Cost tiersearched not foundsearched not found
$/Mtok inputsearched not foundsearched not found
$/Mtok outputsearched not foundsearched not found

Where they differ (4)

Rows where both sides have data and the values disagree — the shortlist of dimensions that actually distinguish these two systems.

Fireworks AIvLLM
TypeFast OSS LLM inference cloudFast LLM inference engine
Created20222023
Licensesearched not foundApache-2.0
Funding$77M total raised through Series B 2024-07 ($52M, Sequoia led; $552M valuation).searched not found

At a glance

Fireworks AIvLLM
SectionInference platforms & gateways Inference platforms & gateways
TierT1 T1
TypeFast OSS LLM inference cloud Fast LLM inference engine
Created2022 2023
Latest releasesearched not found searched not found
Licensesearched not found Apache-2.0
GitHubsearched not found searched not found
Pricingsearched not found searched not found
Funding$77M total raised through Series B 2024-07 ($52M, Sequoia led; $552M valuation). searched not found
Deploymentsearched not found searched not found
API surfacesearched not found searched not found
Multi-tenancysearched not found searched not found
MCPsearched not found searched not found
A2Asearched not found searched not found
OpenTelemetrysearched not found searched not found
Optimised forsearched not found searched not found
Anti-fitsearched not found searched not found

Taxonomy

AxisFireworks AIvLLM
storagen/an/a
retrievaln/an/a
persistencen/an/a
updaten/an/a
unitn/an/a
governancen/an/a
conflictn/an/a

Pros & cons

Fireworks AI

Pros: searched not found

Cons: searched not found

vLLM

Pros: searched not found

Cons: searched not found

Rows last verified 2026-05-14 / 2026-05-14. Data is CC-BY-4.0 — see how to read this.