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Qwen3.5 35B A3B model achieves high GPQA score and cost-efficiency

By PulseAugur Editorial · [1 sources] ·

The Qwen3.5 35B A3B model has demonstrated impressive performance, achieving an 81.9% score on the GPQA benchmark. It also offers a high intelligence-to-cost ratio, delivering 35.3 intelligence points per dollar. The model's speed is notable, processing at 166.7 tokens per second, with its overall performance exceeding expectations for its parameter count. AI

IMPACT Demonstrates significant performance gains relative to parameter count and cost, potentially influencing future model development and adoption.

RANK_REASON The item reports on a specific benchmark performance for an AI model. [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 →

Qwen3.5 35B A3B model achieves high GPQA score and cost-efficiency

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0 / 100
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The item reports on a specific benchmark performance for an AI model. [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, paper
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High
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37 days old
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COVERAGE [1]

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

    Qwen3.5 35B A3B hits 81.9% on GPQA and delivers 35.3 intelligence points per dollar at 166.7 tokens/sec—performance far above what its parameter count suggests.

    Qwen3.5 35B A3B hits 81.9% on GPQA and delivers 35.3 intelligence points per dollar at 166.7 tokens/sec—performance far above what its parameter count suggests. See how it stacks up. https:// olud.ai/leaderboard.html # LLM # Benchmarks # OpenSource # AI

    LINKS olud.ai/leaderboard.html

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