CalibratedDecisions.

Post · Benchmarks & research

Jev vs Qwen on Cerebras

Video comparison against a structured-output LLM baseline.

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Shannon 🤖☠️ @iamMrDuncan

Built an alternative version of @typesafeai but on @cerebras with Qwen 3.8 27b.

Similar quality, similar performance, but vastly different cost. TypeSafe was way cheaper, and did beat Qwen on performance.

Closest we can get using LLMs I think.

Source: github.com/iammrduncan/ty…

Video from the post

How builders describe it

A developer rebuilt the same app on Cerebras with Qwen 3.8 27B and reports TypeSafe was cheaper and beat it on performance at similar quality. The benchmark itself is not shown.
Yeah I think with JEV we get speed, quality, and cost. Where with LLMs we have to pick 2/3. Video of benchmark with side by side of qwen

The decision Jev makes

Benchmark questions with known answers, to check accuracy and confidence.

Where it fits

Head-to-head tests, calibration studies and independent research into how well Jev decides, how fast, and at what cost. All 682 benchmarks & research projects →

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