TypeSafe's Jev: Independent Benchmark Against LLMs (with code)

I built an independent benchmark to test TypeSafe's Jev model against GPT-4, Claude, and Gemini on classification tasks.

Jev is a different kind of model — instead of generating text, it outputs probabilities for given answer choices. This makes it particularly interesting for:

• Intent routing in AI agents
• Guardrails and safety checks
• Low-latency classification pipelines

The benchmark covers spam detection, sentiment analysis, and topic classification tasks with full reproducible code.

Read the full article + code on Medium:
https://medium.com/@pravvich/typesafes-jev-beyond-the-hype-an-independent-benchmark-8bdc1c99d000GitHub repo:
https://github.com/PavelRavvich/jev-bench

Connect with me on LinkedIn:
https://www.linkedin.com/in/pavel-ravvich/