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GigaChat-3.5 Reasoning model released with MoE architecture

By PulseAugur Editorial · [1 sources] ·

A new large language model, GigaChat-3.5 Reasoning, has been released. This model features a 432B-A28B Mixture of Experts (MoE) architecture with Gated DeltaNet for efficient long-context processing. It was trained using domain experts and distilled into a single model, reportedly achieving performance close to DeepSeek V4 Flash Preview while using significantly fewer tokens for reasoning. AI

IMPACT This release offers a new option for users seeking efficient long-context processing and potentially competitive reasoning capabilities.

RANK_REASON New model release from a frontier lab. [lever_c_demoted from frontier_release: ic=1 ai=1.0]

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

GigaChat-3.5 Reasoning model released with MoE architecture

How we ranked this

Signal score
15 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Significant
New model release from a frontier lab. [lever_c_demoted from frontier_release: ic=1 ai=1.0]
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
model release
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AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

Full methodology in our editorial standards.

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/netikas ·

    GigaChat-3.5-Reasoning

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1wchl1x/gigachat35reasoning/"> <img alt="GigaChat-3.5-Reasoning" src="https://external-preview.redd.it/iFjYEIjnD9YMwvZW7nwvws7gGCiOiwxfumjFWU1-xc0.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=a9877d3e0af3a…

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