AI & Agents
Fireworks AI
Last updated 2026-08-03 · benchmark measured 2026-08-03 — deterministic & reproducible
Fireworks AI is a platform for deploying and fine-tuning AI models via serverless or on-demand GPU infrastructure.
Is Fireworks AI production-ready?
Legit.Show scores Fireworks AI 82 out of 100 — the simple average of its 7 measured frames. Legit.Show ran its deterministic 7-Frame production-readiness benchmark on Fireworks AI (public-surface assessment), measured from the public surface with no LLM in the scoring path. Its strongest frame is Reliability; its weakest is Performance. Every frame it averages is published with its evidence on the Legit.Show listing.
The 7 Frames
- Performance — 49/100
- Accessibility — 86/100
- Security — 80/100
- Privacy — 75/100
- Reliability — 100/100
- Standards — 84/100
- Discoverability — 100/100
What we measured
- Security headers present: CSP, HSTS, X-Frame-Options.
- Served over HTTPS with a valid certificate.
- Real Lighthouse performance run — 499 ms to first byte.
- Returns a proper 404 for unknown routes.
- 3 of 3 sampled routes reachable.
- Has a reachable privacy policy.
- Sets cookies / loads scripts with no consent prompt.
- Discoverable: structured data, sitemap, OpenGraph image, canonical URL.
Who built it
Lin Qiao (@lqiao) · product account @FireworksAI_HQ
Who it's for
AI developers · Enterprise teams · Startups · ML engineers · AI coding teams
Pricing
Serverless inference from $0.008/1M tokens for embeddings; training from $0.50/1M tokens (LoRA, up to 16B models); on-demand GPUs from $7/hour (H100/H200) to $12/hour (B300); free $1 credits to start