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Decision & classification models

Decision criteriaJev ↗TypeSafe AILaya ↗Convai InnovationsKev-4B ↗Jared Palmer
Version reviewedjev-1.13.0Laya family · model card checked 2026-10-05Kev 1.0 · Kev-4B
Judgment typesChoose an option · Yes / no probability · Rubric scoreChoose an option · Yes / no probability · Rubric scoreChoose an option · Yes / no probability · Rubric score
Access & hardwareTypeSafe API. Use a versioned ID when evaluating; aliases can move. Customer-specific fine-tuning is not offered.CPU or GPU self-hosting, with a Jev-compatible server. This entry covers the downloadable checkpoints; hosted service terms are not verified here.Self-host on an NVIDIA GPU or Apple Silicon via MLX. Training and serving code are available; CPU deployment is not verified here.
API price · USD$0.042 / 1M input tokensTypeSafe direct API, USD per million input tokens; output is not billed. Per-decision cost depends on input size, questions and retries.TypeSafe · model versions and pricing ↗Hosted price unverifiedNo hosted rate verified for this entry. Self-hosting needs compute, capacity and maintenance; downloadable weights do not make inference free.Hosted price unverifiedNo hosted rate verified for this entry. Self-hosting needs compute, capacity and maintenance; downloadable weights do not make inference free.
LanguagesEnglish is the primary training language; evaluate other languages separately.Separate English and multilingual checkpoints; the publisher reports 100+ languages for the multilingual model.English; the model card places other languages outside its intended scope.
Context conditions64k tokens across a request; state plus the longest question must fit 32k. Text input only.English checkpoint: 512 tokens. Multilingual: default 1,024, configurable up to 8,192; long-input quality must be tested.Validated context: 8,192 tokens. The server accepts longer states, but that is not equivalent to validated accuracy.
Probability interpretationChoice and Score include option distributions and a derived confidence value. Noul returns a yes probability without a separate confidence field. Validate calibration on your workload.Publisher reports calibration training. Select and record the checkpoint, runtime and any fitted temperature before using its probabilities.The release applies a fitted temperature. Probability thresholds need rechecking after model, domain or calibration changes.
Our accuracy / calibrationNot measuredNot measuredNot measured
Our p50 / p95 latencyNot measuredNot measuredNot measured
Our cost / 1,000 decisionsNot measuredNot measuredNot measured
LimitsA typed result can still be wrong. Define an unknown outcome and a fallback. Serving limits and alias targets can change; record the actual model returned.English and multilingual checkpoints have different limits and behavior. Published short-input latency is hardware-specific. We have not reproduced it or compared Chinese accuracy.API compatibility does not establish equal accuracy or transferable thresholds. Keep the checkpoint and precision with any benchmark; this catalog does not combine its different evaluation suites.
SourcesTypeSafe · model versions and pricing ↗TypeSafe · decision primitives ↗TypeSafe · interpreting confidence ↗Checked 2026-10-05Convai Innovations · Laya model card ↗Checked 2026-10-05Jared Palmer · Kev-4B model card ↗Checked 2026-10-05

Source-reviewed capabilities, not a leaderboard. Hosted prices and self-hosting costs use different bases. Unknown measurements are not zero. Measure the complete task →