What are the hardware requirements for GigaChat3.5 432B A28B Reasoning?

GigaChat3.5 432B A28B Reasoning requires approximately 445.8 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed GigaChat3.5 432B A28B Reasoning and how large is it?

GigaChat3.5 432B A28B Reasoning is developed by ai-sage, a model with 432b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate GigaChat3.5 432B A28B Reasoning?

GigaChat3.5 432B A28B Reasoning is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

GigaChat3.5 432B A28B Reasoning by ai-sage — VRAM 445.8GB, 256K context

Name: GigaChat3.5 432B A28B Reasoning
Author: ai-sage

GigaChat3.5 432B A28B Reasoning is an open-source language model by ai-sage. Features: 432b LLM, VRAM: 445.8GB, Context: 256K, License: mit.

Base model:ai-sage/gigachat3.5... Base model:quantized:ai-sage/g... Conversational Custom code En Fp8 Function-calling Gigachat3 5 Hybrid-attention Instruct Linear-attention Long-context Moe Mtp Multilingual Online-rl Reasoning Region:us Ru Safetensors Sharded Structured-output Tensorflow Tool-use

Model Card on HF 🤗: https://huggingface.co/ai-sage/GigaChat3.5-432B-A28B-Reasoning

GigaChat3.5 432B A28B Reasoning Parameters and Internals

LLM Name	GigaChat3.5 432B A28B Reasoning
Repository 🤗	https://huggingface.co/ai-sage/GigaChat3.5-432B-A28B-Reasoning
Base Model(s)	ai-sage/GigaChat3.5-432B-A28B-base ai-sage/GigaChat3.5-432B-A28B-base
Model Size	432b
Required VRAM	445.8 GB
Updated	2026-09-13
Maintainer	ai-sage
Model Type	gigachat3_5
Model Files	16.1 GB: 1-of-28 16.1 GB: 2-of-28 16.1 GB: 3-of-28 16.1 GB: 4-of-28 16.1 GB: 5-of-28 16.1 GB: 6-of-28 16.1 GB: 7-of-28 16.1 GB: 8-of-28 16.1 GB: 9-of-28 16.1 GB: 10-of-28 16.1 GB: 11-of-28 16.1 GB: 12-of-28 16.1 GB: 13-of-28 16.1 GB: 14-of-28 16.1 GB: 15-of-28 16.1 GB: 16-of-28 16.1 GB: 17-of-28 16.1 GB: 18-of-28 16.1 GB: 19-of-28 16.1 GB: 20-of-28 16.1 GB: 21-of-28 16.1 GB: 22-of-28 16.1 GB: 23-of-28 16.1 GB: 24-of-28 16.1 GB: 25-of-28 16.1 GB: 26-of-28 16.1 GB: 27-of-28 11.1 GB: 28-of-28
Supported Languages	ru en
Model Architecture	GigaChat35ForCausalLM
License	mit
Context Length	262144
Model Max Length	262144
Transformers Version	4.57.3
Padding Token	</s>
Vocabulary Size	128256

Rank the GigaChat3.5 432B A28B Reasoning capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Best Alternatives to GigaChat3.5 432B A28B Reasoning

Best Alternatives	Context / RAM	Downloads	Likes
GigaChat3.5 432B A28B	256K / 437.7 GB	884	69
...at3.5 432B A28B Reasoning Bf16	256K / 708.4 GB	300	6
GigaChat3.5 432B A28B Base	128K / 724.5 GB	323	21

Note: green Score (e.g. "73.2") means that the model is better than ai-sage/GigaChat3.5-432B-A28B-Reasoning.