AI & Agents
Fireworks AI
Last updated 2026-08-03 · benchmark checked 2026-09-09 · unchanged since 2026-08-08 — deterministic & reproducible
Fireworks AI is a platform for deploying and fine-tuning AI models via serverless or on-demand GPU infrastructure.
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To cite this score: legit.show/s/fireworks-ai/2026-09-09. That address never changes; this page moves with every re-measure.
Legit.Show scored Fireworks AI 91/100 on 2026-09-09, measured across 5 of 7 frames from its public surface. legit.show/s/fireworks-ai/2026-09-09
Is Fireworks AI production-ready?
Legit.Show scores Fireworks AI 91 out of 100 — the simple average of its 5 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 Privacy. 5 of the seven frames returned a score; Performance and Accessibility were not measurable on this service and are recorded as null — not as zero. Every frame it averages is published with its evidence on the Legit.Show listing.
The 7 Frames
- Performance — not measurable on this service (null — not scored as 0)
- Accessibility — not measurable on this service (null — not scored as 0)
- Security — 80/100How this compares across the catalogue: The Web Security Baseline
- Privacy — 75/100How this compares across the catalogue: The Privacy Gap
- Reliability — 100/100
- Standards — 100/100
- 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 — 490 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
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