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Seed-OSS-36B-Instruct achieves high cost-efficiency in benchmarks

Seed-OSS-36B-Instruct has achieved a cost-efficiency of 40.3 intelligence points per dollar, according to independent measurements. The model scored 72.6% on the GPQA benchmark and 81.5% on MMLU-Pro. These results suggest that Seed-OSS-36B-Instruct offers a competitive performance relative to its cost, potentially challenging larger, more expensive models. AI

IMPACT Demonstrates a new benchmark for cost-efficiency in LLMs, potentially influencing future model development and deployment strategies.

RANK_REASON The cluster reports on benchmark results for an open-source model, which falls under research. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Mastodon — mastodon.social →

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

Seed-OSS-36B-Instruct achieves high cost-efficiency in benchmarks

How we ranked this

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2 / 100
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The cluster reports on benchmark results for an open-source model, which falls under research. [lever_c_demoted from research: ic=1 ai=1.0]
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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.
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model release, product
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High
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Same-day
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Full methodology in our editorial standards.

COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · opensourceaitech ·

    📊 Independently measured, Seed-OSS-36B-Instruct delivers 40.3 intelligence points per dollar — GPQA 72.6%, MMLU-Pro 81.5%. Cost-efficiency that puts bigger mode

    📊 Independently measured, Seed-OSS-36B-Instruct delivers 40.3 intelligence points per dollar — GPQA 72.6%, MMLU-Pro 81.5%. Cost-efficiency that puts bigger models on notice. https:// olud.ai/leaderboard.html # LLM # Benchmarks # OpenSource # AI