Standard One 8B (Standard Thinking)
Jev rebuild · by Standard Thinking (myeongho12)
JevBench v1.4.2.2 score
29.1
Rank #45 of 91 ranked systems.
34.2 points behind Jev 1.13.0's 63.3.
Published axes
- intelligence
- 46.2
- calibration
- 65.9
- speed
- 92.0
- cost
- 39.4
Against Jev 1.13.0
Four radars compare this fixed pair across the score axes, accuracy per tier, and accuracy by family on the hard tier and sealed set. Further out is better on every spoke.
- A: Standard One 8B — Jev rebuild · Score 29.1 (#45)
- B: Jev 1.13.0 — Jev (TypeSafe, closed) · Score 63.3 (#4)
The four score axes
Accuracy per tier, incl. sealed
Current question set by family (hard + sealed)
Sealed set by family
Availability and evidence
- Openness
- Code and weights marked open in the published row
- License note
- Apache-2.0 (jev-adapter server, LoRA and merged weights; base Ministral 3 8B Apache-2.0)
- Cost evidence
- estimated; the board’s row disclosure contains the published basis.
- Endpoint condition
- our evaluator-owned Lium GPU pod (RTX PRO 6000), offline read-only container, author's server on loopback
- Note on this row
- StandardThinking/StandardOne-8B rev 0f14d009a9400e55ea5a00a89b4d859882db704e (Ministral-3-8B-Instruct-2512 + LoRA, merged) on stock SGLang 0.5.20 behind the author's jev-adapter from server/ at the same revision, nominated configuration: --prompt-wording native --native-system-prompt none --default-temperature 1.35, context 8192. Disclosed by the author: benchmark-directed development; the native wording was selected by an ablation on the public hard tier; 181 of 359,497 training rows reuse one generic 58-character public-hard instruction. Offline self-hosted inference of all 842 decisions (534 frozen v1.2 + 308 sealed v1.4) in a network-disabled, read-only container on an evaluator-owned Lium RTX PRO 6000 Blackwell 96 GB pod, through JevBench's unchanged typesafe adapter against the author's own server on loopback; no operator endpoint; no golds were exposed. Latency is the serial request wall time on the standard+judge items with the self-hosted adjustment. Cost is a labelled estimate: OpenRouter mistralai/ministral-8b-2512 list price $0.15/M input (= the author's proposed Mistral API price for the exact base), read 2026-09-24, over the server's own usage.input_tokens; it is not a GPU bill.
- Published source
- https://huggingface.co/StandardThinking/StandardOne-8B
From the public v1.4.2.2 aggregate. Scores and ranks can change when a new release is published.
Read the full board and published method. The overall score is a composite, not raw accuracy.