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# Outperforming Fable 5 at half the price: meet model synthesis, a new server-side tool on DigitalOcean Inference Engine

**[DigitalOcean](https://daily.dev/sources/do)** · 9 min read · 0 upvotes · 0 comments

## Summary

DigitalOcean has launched model synthesis in Public Preview on its Inference Engine — a server-side tool that runs a user-defined panel of models in parallel and uses a synthesizer model to combine their outputs. Benchmarked on DRACO (100 deep-research tasks), an all-open-source GLM 5.2 + Kimi K2.6 panel scored 65.65% quality at $0.83/task, outperforming Fable 5 (62.21% at $1.59/task) and every other single model tested. Key findings: synthesizer choice matters more than panel size, the best two-model panel matched a three-model panel, and open-source combinations can beat frontier models on both quality and cost. The tool supports optimized presets (Budget, Balanced, Quality) or fully custom panel/synthesizer configurations via a single API call.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.digitalocean.com/blog/model-synthesis>

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---

Tags: [#ai-inference](https://daily.dev/tags/ai-inference), [#digitalocean](https://daily.dev/tags/digitalocean), [#open-source](https://daily.dev/tags/open-source)

[View this post on daily.dev](https://daily.dev/posts/outperforming-fable-5-at-half-the-price-meet-model-synthesis-a-new-server-side-tool-on-digitalocea-kbdcauzx9)

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