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Qwen3.5 2B shows mixed results in independent benchmarks

By PulseAugur Editorial · [1 sources] ·

Independent benchmarks reveal that Qwen3.5 2B, a non-reasoning model, achieves 43.8% on the GPQA benchmark. However, its performance significantly drops on more complex tasks, scoring only 5% on HLE, 15% on Long Context Reasoning, and 7.2% on SciCode. This indicates a substantial performance gap on challenging evaluations. AI

IMPACT Highlights performance limitations of smaller open-source models on complex reasoning tasks.

RANK_REASON Independent benchmark results for an open-source 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 2B shows mixed results in independent benchmarks

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3 / 100
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Independent benchmark results for an open-source model. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

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

    Measured independently, not self-reported: Qwen3.5 2B (Non-reasoning) hits 43.8% GPQA, but only 5% HLE, 15% Long Context Reasoning, and 7.2% SciCode. The collap

    Measured independently, not self-reported: Qwen3.5 2B (Non-reasoning) hits 43.8% GPQA, but only 5% HLE, 15% Long Context Reasoning, and 7.2% SciCode. The collapse on harder tests is the real story. See the full data: https:// olud.ai/leaderboard.html # LLM # Benchmarks # OpenSour…

    LINKS olud.ai/leaderboard.html

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