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English(EN) 📊 Qwen3.8 Max (0902) — the actual numbers GPQA: 92.8% Humanity's Last Exam: 43.1% Long Context Reasoning: 80.3% SciCode: 52.1% ⚡ 38.1 tokens/sec 💰 11.2 intellig

LLM基准测试揭示GPQA、SciCode和推理任务的性能

作者 PulseAugur 编辑部 · [4 个来源] ·

独立基准测试揭示了几种大型语言模型在各种指标上的性能。Muse Spark Open在GPQA上 đạt 89%，在SciCode上 đạt 58.4%，而Muse Glimmer在GPQA上 đạt 83.5%，在SciCode上 đạt 44.9%。Kimi K3.1 Pro在长上下文推理上表现强劲， đạt 86.3%，在SciCode上 đạt 60.8%。Qwen3.8 Max在GPQA上领先， đạt 92.8%，在长上下文推理上 đạt 80.3%。 AI

影响 提供了LLM在关键基准测试上的比较性能数据，有助于模型选择和开发。

排序理由 该集群报告了多个LLM的基准测试结果，属于研究范畴。

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LLM基准测试揭示GPQA、SciCode和推理任务的性能

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Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Research
该集群报告了多个LLM的基准测试结果，属于研究范畴。
Source corroboration
4 independent sources
Strong cross-source corroboration — multiple independent publishers covered this within the clustering window.
Topics
model release, other
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
3 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

完整方法见我们的编辑标准。

报道来源 [4]

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

    📊 Muse Spark Open (Xhigh) — the actual numbers GPQA: 89% Humanity's Last Exam: 43.9% Long Context Reasoning: 78.3% SciCode: 58.4% ⚡ 190.5 tokens/sec 💰 12.4 inte

    📊 Muse Spark Open (Xhigh) — the actual numbers GPQA: 89% Humanity's Last Exam: 43.9% Long Context Reasoning: 78.3% SciCode: 58.4% ⚡ 190.5 tokens/sec 💰 12.4 intelligence points per dollar Measured independently, not self-reported → https:// olud.ai/leaderboard.html # LLM # Benchma…

    链接 olud.ai/leaderboard.html
  2. Mastodon — mastodon.social TIER_1 English(EN) · opensourceaitech ·

    📊 Muse Glimmer (High) — the actual numbers GPQA: 83.5% Humanity's Last Exam: 22% Long Context Reasoning: 83.3% SciCode: 44.9% ⚡ 116.7 tokens/sec 💰 12 intelligen

    📊 Muse Glimmer (High) — the actual numbers GPQA: 83.5% Humanity's Last Exam: 22% Long Context Reasoning: 83.3% SciCode: 44.9% ⚡ 116.7 tokens/sec 💰 12 intelligence points per dollar Measured independently, not self-reported → https:// olud.ai/leaderboard.html # LLM # Benchmarks # …

    链接 olud.ai/leaderboard.html
  3. Mastodon — mastodon.social TIER_1 English(EN) · opensourceaitech ·

    📊 Kimi K3.1 Pro — 实际数字 人类终极考试：52.5% 长上下文推理：86.3% SciCode：60.8% ⚡ 29 tokens/秒 💰 每美元 11.5 智能点

    📊 Kimi K3.1 Pro — the actual numbers Humanity's Last Exam: 52.5% Long Context Reasoning: 86.3% SciCode: 60.8% ⚡ 29 tokens/sec 💰 11.5 intelligence points per dollar Measured independently, not self-reported → https:// olud.ai/leaderboard.html # LLM # Benchmarks # OpenSource # AI

    链接 olud.ai/leaderboard.html
  4. Mastodon — mastodon.social TIER_1 English(EN) · opensourceaitech ·

    📊 Qwen3.8 Max (0902) — 实际分数 GPQA: 92.8% 人类最后考试: 43.1% 长上下文推理: 80.3% SciCode: 52.1% ⚡ 38.1 tokens/sec 💰 11.2 intellig

    📊 Qwen3.8 Max (0902) — the actual numbers GPQA: 92.8% Humanity's Last Exam: 43.1% Long Context Reasoning: 80.3% SciCode: 52.1% ⚡ 38.1 tokens/sec 💰 11.2 intelligence points per dollar Measured independently, not self-reported → https:// olud.ai/leaderboard.html # LLM # Benchmarks …

    链接 olud.ai/leaderboard.html

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