HomeSeed-OSS-36B-Instruct
36B
Model parameter quantity
ByteDance
Affiliated organization
Open Source
License Type
August 20, 2025
Release time
Model Introduction
Seed-OSS is an open-source large language model developed by ByteDance's Seed Team, designed for powerful long-context, reasoning, agent and general capabilities, and versatile developer-friendly features.
Comprehensive score
Language dialogue
Knowledge reserve
Reasoning association
Mathematical calculation
Code writing
Command following
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Language comprehension ability
Capable of understanding complex contexts and generating logically coherent sentences, though occasionally off in tone control.
8.1
Knowledge coverage scope
Possesses core knowledge of mainstream disciplines, but has limited coverage of cutting-edge interdisciplinary fields.
8.3
Reasoning ability
Unable to maintain coherent reasoning chains, often causing inverted causality or miscalculations.
6.4
Model comparison
Seed-OSS-36B-Instruct vs Doubao-Seed-1.6-251015 (Thinking)
The deep reasoning model released by ByteDance, which supports manual switching of deep reasoning, and its performance is significantly improved compared to doubao-1.5.
Seed-OSS-36B-Instruct vs Doubao-Seed-1.6-thinking-250715
The latest version of the seed series model launched by ByteDance, which supports the thinking mode.
Related model
Doubao-Seed-2-0-Pro-260215 (high)
Doubao-Seed-2-0-Pro-260215 is ByteDance’s latest high-performance proprietary general-purpose model.
Doubao-Seed-2-0-Lite-260215 (high)
Doubao-Seed-2-0-Lite-260215 is ByteDance’s latest lightweight proprietary general-purpose model.
Seed-OSS-36B-Instruct
Seed-OSS is an open-source large language model developed by ByteDance's Seed Team, designed for powerful long-context, reasoning, agent and general capabilities, and versatile developer-friendly features.
Doubao-Seed-1-8-251228
The deep reasoning model released by ByteDance, version 1.8-251228.
Doubao-Seed-1.6-251015 (Thinking)
The deep reasoning model released by ByteDance, which supports manual switching of deep reasoning, and its performance is significantly improved compared to doubao-1.5.
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