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AI 模型库/autotrust/JEV-27B-VL
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JEV-27B-VL

autotrust · JEV-27B-VL

> [!IMPORTANT] > **Try AutoTrust/GuruSearch live (new, 11 October 2026).** A recommendation and search demo in which every ranking is a > calibrated System 1 decision, made in about half a second: > * **Recommendation:** the latest headlines from 6 news feeds, ranked by importance. > * **Search:** results from Google News, Bing News and Yahoo News re-ranked by relevance, side by side with the > search engines' own order, plus a short answer with citations. > [!IMPORTANT] > **ERQA 61.5% with thinking (medium): the highest open-model score in the ranking below, tied with Claude Opus 5 and > behind only GPT 6 Astra and Gemini 3.6 Flash.** No robot or embodied data in JEV-27B-VL's decision training (text > only); System 2 is the unmodified Qwen3.8-27B. In one pass (no thinking) it scores 53.8%, above PhysBrain 1.5 (52.8), > the best open embodied model in the report. Thinking adds 7.7 points (paired test p = 0.002). **The benchmark.** ERQA (Embodied Reasoning Question Answering) is the benchmark Google DeepMind released with Gemini Robotics (March 2025) to measure whether a vision-language model understands the physical world a robot acts in. It has 400 multiple-choice questions about real robot and everyday scenes, with 1–16 images per question (287 questions have one image). 382 questions have 4 options and the rest 2–3, so chance is about 26%. ERQA is one of the standard embodied-reasoning benchmarks; Gemini Robotics-ER, PhysBrain and Hy-Embodied report it. With 400 questions the 95% interval of a score is about ±5 points.

译文排队中，当前展示来源原文。

文本生成multimodallicense:apache-2.0
上下文窗口来源未披露
输入 → 输出文本 → 文本
模型权重开放权重
档案更新时间2026/11/2 19:16:05
OVERVIEW

模型介绍

> [!IMPORTANT] > **Try AutoTrust/GuruSearch live (new, 11 October 2026).** A recommendation and search demo in which every ranking is a > calibrated System 1 decision, made in about half a second: > * **Recommendation:** the latest headlines from 6 news feeds, ranked by importance. > * **Search:** results from Google News, Bing News and Yahoo News re-ranked by relevance, side by side with the > search engines' own order, plus a short answer with citations. > [!IMPORTANT] > **ERQA 61.5% with thinking (medium): the highest open-model score in the ranking below, tied with Claude Opus 5 and > behind only GPT 6 Astra and Gemini 3.6 Flash.** No robot or embodied data in JEV-27B-VL's decision training (text > only); System 2 is the unmodified Qwen3.8-27B. In one pass (no thinking) it scores 53.8%, above PhysBrain 1.5 (52.8), > the best open embodied model in the report. Thinking adds 7.7 points (paired test p = 0.002). **The benchmark.** ERQA (Embodied Reasoning Question Answering) is the benchmark Google DeepMind released with Gemini Robotics (March 2025) to measure whether a vision-language model understands the physical world a robot acts in. It has 400 multiple-choice questions about real robot and everyday scenes, with 1–16 images per question (287 questions have one image). 382 questions have 4 options and the rest 2–3, so chance is about 26%. ERQA is one of the standard embodied-reasoning benchmarks; Gemini Robotics-ER, PhysBrain and Hy-Embodied report it. With 400 questions the 95% interval of a score is about ±5 points.

主要特点

特点摘要待依据来源补齐，不凭模型名称推断能力。

局限与注意事项

暂无足够来源支持具体缺点结论。请重点验证实际任务表现、时延、数据政策、许可与版本生命周期。

PRICING & COST

来源报价与费用分析

同一模型在不同渠道、地区和配置下可能采用不同价格。下表独立保留各渠道报价，不将渠道价格视为厂商官方统一价格。

来源 / 渠道输入输出计费单位采集时间
暂未取得可核验报价，请查阅来源渠道。

按月估算基础 Token 费用

—

预估不包含缓存优惠、阶梯定价、多模态附加费用、网络检索、税费及推理额外输出。

INDEPENDENT BENCHMARKS

公开评测与运行配置

暂无已采集的可核验公开评分。模型未上榜不代表能力较低。

查看完整已收录榜单 →

常见问题

开放权重是否代表可以免费商用？

不一定。应核对具体版本许可证、商用门槛和使用政策。自部署还会产生算力和维护成本。

这些价格是实时结算价格吗？

不是实时结算价格，而是带采集时间的来源报价快照。请到对应渠道核对当前版本、区域、折扣和计费方式。

资料来源与可追溯记录

huggingface · autotrust/JEV-27B-VL ↗2026/10/28 13:16:50
huggingface · enrich:7cd484c2-356a-4339-858f-d263b1507e69 ↗2026/10/28 14:57:01

许可证：apache-2.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。