The use case: how Gumloop deploys Fireworks AI
Gumloop builds AI-powered workflows and agents for organizations, and uses open-weight models such as GLM-5.2 served through Fireworks AI as its default inference provider to power agent chats and supporting operations like classification, tagging, and evaluation.
More reported results
Figures published in Fireworks AI’s case study. They are not independently measured by usedby.
Up to 72% cost savings after moving an internal production agent from Opus 4.8 to GLM-5.2
In the customer’s words
The biggest benefit has been reliability. We tried other providers, but we’ve seen Fireworks lead in this sense, as well as respond to our requests and queries very fast.The aha moment was when we were deciding whether to roll out GLM-5.2 as one of our recommended model options. We felt Fireworks gave us the confidence to do this without reliability concerns. We have a main agent that has access to all of our data that everyone across the company interacts with and asks questions. When we moved this agent from Opus 4.8 to GLM-5.2, nobody noticed a difference in the experience. The outputs were consistent with what we expected, which gave us the confidence to make GLM-5.2 a recommended model option.Other AI tools used by Gumloop
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Based on Fireworks AI’s published case study. We check the public evidence; the results are reported by the vendor.
fireworks.ai- Source published
- Jul 9, 2026
- Last checked
- Nov 6, 2026
Open source capture What the story claims, and what we checked
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- The figure: 7xChecked
Printed word for word on the page, near the name of Gumloop.
- The passage quoted aboveChecked
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- Gumloop uses Fireworks AIChecked
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- The result itselfNot checked
We quote it; we did not measure it.
When we moved this agent from Opus 4.8 to GLM-5.2, nobody noticed a difference in the experience. The outputs were consistent with what we expected, which gave us the confidence to make GLM-5.2 a recommended model option.