CalibratedDecisions.

Post · Benchmarks & research

OpenRouter’s Ori Eval

Jev judged a 30-way labelling task faster than every model tested.

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OpenRouter @OpenRouter

1/ Jev, a decision model by @typesafeai, sparked a burst of projects and discussion. We tested it using Ori Eval against popular LLMs on OpenRouter at judging.

Jev was >5x faster than the next fastest model, and even its slowest requests beat every other model's median.

Bar chart of median latency per model. Jev 154 ms, GPT-5.6 Luna 860 ms, DeepSeek V4.1 Flash 911 ms, Qwen3.8 Flash 914 ms, GLM 5.3 Flash 1544 ms.

How builders describe it

ran some early evals on jev using openrouter's ori eval

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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