一项比较分析测试了四种开源大语言模型的性能：DeepSeek V4、Qwen3.8、Kimi k3 和 GLM 5.3。评估涉及 113 个真实编码任务，每个模型进行四次测试。这种独立的测试方法旨在提供对其能力清晰的了解，而不依赖供应商提供的数据。 AI
影响 为编码应用提供了领先的开源大模型相对性能的见解。
排序理由 对多个开源大模型在编码任务上的比较基准测试。
AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →
DeepSeek V4、Qwen3.8、Kimi k3 和 GLM 5.3 在 113 个编码任务上进行测试
本文如何被排名
- Signal score
- 1 / 100
- Composite score across the factors below. Higher = stronger signal that this story matters right now.
- Newsworthiness bucket
- Research
- 对多个开源大模型在编码任务上的比较基准测试。
- Source corroboration
- 2 independent sources
- Multiple independent publishers reporting the same story raises confidence that it's real and newsworthy.
- Topics
- model release
- 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
- 1 days old
- Coverage has settled into its steady-state source set.
完整方法见我们的编辑标准。
报道来源 [2]
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最佳开源大模型评测：DeepSeek V4 对比 Qwen3.8 对比 Kimi K3 对比 GLM-5.3
<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://pub.towardsai.net/best-open-weight-llms-tested-deepseek-v4-vs-qwen3-8-vs-kimi-k3-vs-glm-5-3-0d3bd06aaed8?source=rss------ai_coding-5"><img src="https://cdn-images-1.medium.com/max/2600/1*c0V-0xxNFXQ8gibva…
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最佳开源大模型评测：DeepSeek V4 对比 Qwen3.8 对比 Kimi K3 对比 GLM-5.3
<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://pub.towardsai.net/best-open-weight-llms-tested-deepseek-v4-vs-qwen3-8-vs-kimi-k3-vs-glm-5-3-063e6e191ca2?source=rss------ai_coding-5"><img src="https://cdn-images-1.medium.com/max/2600/1*c0V-0xxNFXQ8gibva…