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Seed-OSS

ByteDance's 36B open reasoning model with 512K context under Apache 2.0.

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About

Seed-OSS is ByteDance Seed Team's open-source large language model series, released August 20, 2025. It ships in three variants: Seed-OSS-36B-Base trained with synthetic instruction data, Seed-OSS-36B-Base-woSyn as a clean baseline without it, and Seed-OSS-36B-Instruct post-trained for instruction following. At 36.2 billion parameters with a 512K-token context window and a controllable thinking budget, it was trained on only 12 trillion tokens.

The Instruct variant reports strong open-source results in reasoning, math, and coding, including 81.7 on MATH, and the whole series is released under Apache 2.0, so it can power commercial applications without licensing fees. ByteDance positions it for international use cases with strong multilingual support.

The honest caveats: benchmark numbers are vendor-reported, and the two Base variants serve different audiences, with the synthetic-data version scoring higher but the clean version preferred for research on post-training. Weights are on Hugging Face and the release repo is on GitHub.

Specs

Context window

Pricing

Free quota

API access

Weights

Open weights

Released

August 20, 2025

Benchmarks

Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.

Use cases

reasoningcodingagentslong-context

Trust score — 8/10

/10 trustVerified

Scored 8/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 87; Trending score 84/100 from researcher assessment.

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Sources