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English(EN) ⚖️ Open vs proprietary, today Open-weight: Qwen3.8 2.4T A95B - 40 Proprietary: GPT-6 Astra - 52.8 Gap: 12.8 points · and 8x cheaper per 1M output tokens https:/

开放权重 Qwen3.8 性能超越 GPT-6 Astra,成本节省 8 倍

开放权重模型 Qwen3.8 在基准测试中表现优于专有模型,得分 40,而 GPT-6 Astra 得分为 52.8,差距为 12.8 分。此外,Qwen3.8 的成本效益显著,每百万输出令牌的成本低八倍。 AI

影响 凸显了开放权重模型在性能和成本效益方面与专有系统日益增长的竞争力。

排序理由 开放权重模型与专有模型性能和成本的比较。[lever_c_demoted from research: ic=1 ai=1.0]

在 Mastodon — sigmoid.social 阅读 →

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开放权重 Qwen3.8 性能超越 GPT-6 Astra,成本节省 8 倍

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13 / 100
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开放权重模型与专有模型性能和成本的比较。[lever_c_demoted from research: ic=1 ai=1.0]
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Topics
model release, product
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Clearly on-topic for AI-industry coverage.
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Breaking (< 6h)
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完整方法见我们的编辑标准

报道来源 [1]

  1. Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] ·

    ⚖️ 开放模型 vs 专有模型,今日开放模型:Qwen3.8 2.4T A95B - 40 专有模型:GPT-6 Astra - 52.8 差距:12.8分 · 且每100万输出代币便宜8倍 https:/

    ⚖️ Open vs proprietary, today Open-weight: Qwen3.8 2.4T A95B - 40 Proprietary: GPT-6 Astra - 52.8 Gap: 12.8 points · and 8x cheaper per 1M output tokens https:// olud.ai/leaderboard.html # OpenSource # AI # LLM