vera-spark
vera-spark by scar-ai is a decision model: it answers typed questions with a probability for each allowed answer instead of generating text. It scores 11.5 on the Jev Decision Index (rank 140).
Pricing
No hosted price is listed. The weights are open: the cost is your own compute.
Specifications
- Provider
- scar-ai
- Parameters
- 638M
- Released
- Oct 2026
- Open weights
- Yes
- Question types
- Choice (one of N options), Score (ordered rubric), Yes / no
- Mechanism
- Encoder classifier
- Backbone
- answerdotai/ModernBERT-large
- Jev-compatible request
- Yes
- Runs on CPU
- Yes
- License
- apache-2.0
- Hugging Face
- scar-ai/vera-spark
Benchmarks
- Jev Decision IndexECE 0.157
- 11.5
Jev Decision Index: public 19.6, ECE 0.157, Brier 0.631. Lower ECE means its probabilities can be taken at face value.
Self-reported by the publisher
The model's own claims, often on its own sets or a self-run copy of a public suite. Not independently verified and never ranked alongside measured results.
- Jev Decision Index public suite (self-run)Self-reportedDecision Index public balanced skill, edition 0.3 kit (release-v3), self-run
- 19.6
Speed & latency
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FAQ
How much does vera-spark cost?
vera-spark has no hosted price listed; its weights are open, so the cost is the compute you run it on.
What questions can vera-spark answer?
vera-spark answers choice (one of n options), score (ordered rubric), yes / no questions, returning a probability for each allowed answer.
Is vera-spark well calibrated?
On the Jev Decision Index its expected calibration error (ECE) is 0.157; below about 0.05, a stated 80% confidence is right roughly 80% of the time.
Is vera-spark open weight, and can it run on a CPU?
Yes, vera-spark has open weights. It is small enough to run on a CPU.
Data as of 2026-10-14. Source: Metatext decision-model catalogue, 2026-10-14 (Jev Decision Index, Hugging Face). Pricing is per 1M tokens (USD); confirm with the provider before production use.