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