# 中国移动发布专有模型JT-35B-Flash，智能指数显著提升

- 来源：Artificial Analysis (@ArtificialAnlys)
- 发布时间：2026-05-15 07:17
- AIHOT 分数：62
- AIHOT 链接：https://aihot.virxact.com/items/cmp64kugc0jmesljxrjcgrjvz
- 原文链接：https://x.com/ArtificialAnlys/status/2055064948183884151

## AI 摘要

中国移动近日发布了专有的350亿参数非推理模型JT-35B-Flash，其Artificial Analysis智能指数达到36，较前代JT-MINI大幅提升11分。该模型在面向电信客服场景的工具使用评测τ²-Bench中以99%的得分领先，并展现出较高的令牌效率，运行智能指数仅消耗约1700万输出令牌。JT-35B-Flash拥有256K上下文窗口，目前主要面向企业客户提供。作为全球主要电信运营商，此举标志着中国移动在开发更强大专有模型方面的持续投入。

## 正文

China Mobile has just released JT-35B-Flash， a proprietary 35B non-reasoning model with relatively high token efficiency and competitive intelligence for its size （Artificial Analysis Intelligence Index of 36）

This represents a significant upgrade from China Mobile's previous JT-MINI， with an Intelligence Index improvement of +11 points （25 → 36）. China Mobile is one of the world's largest telecommunications companies， and JT-35B-Flash is a sign of their continued focus on AI.

Key results：

➤ JT-35B-Flash scores 36 on the Intelligence Index， an +11 point improvement from JT-MINI （25）. While still behind frontier models overall， the model shows China Mobile's progression in developing more capable proprietary models. The 35B parameter count represents a significant scale-up from JT-MINI.

➤ JT-35B-Flash outperforms JT-MINI with significantly in AA-Omniscience， with a +42 improvement in score. This is driven by both lower hallucination rate （63%） as well as higher accuracy （28%）.

➤ JT-35B-Flash leads in τ2-Bench with 99%， ahead of GLM-4.7-Flash （Reasoning， 98%） and other top performers. τ2-Bench measures tool use in customer service scenarios， making this particularly relevant for China Mobile's telecommunications business. This represents the highest score measured on this evaluation across models we benchmark.

➤ JT-35B-Flash achieves an Agentic Index score of 52， driven primarily by its exceptional τ2-Bench performance. GDPval-AA reaches 1076， indicating competent real-world task execution capabilities for a model at this Intelligence Index level.

➤ JT-35B-Flash demonstrates high token efficiency， even compared to other non-reasoning models， using ~17M output tokens to run the Intelligence Index. This positions JT-35B-Flash as an efficient inference option compared to reasoning-enabled alternatives.

Model details：

➤ Context window： 256K tokens

➤ Availability： Currently primarily available to China Mobile's enterprise customers
