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Tencent Hy· @TencentHunyuan · X·· 2 小时前精选AI 评分68
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腾讯混元转发并感谢 Artificial Analysis 对其最新模型 Hy4 的评测。Hy4 在 Artificial Analysis Intelligence Index v5 得 35 分,与中国实验室模型中仅次于 Kimi K3.1 Pro(46 分),与 Grok 4.7 (xhigh) 持平,比 Claude Haiku 5.5 (max) 低 1 分。评测要点:FrontierCode 2.0 得 31%,为中国实验室模型最高;AA-Omniscience v1.1 达 50% 但幻觉率高达 89%;定价 $0.834/$2.501 per 1M input/output tokens,支持 1M token 上下文窗口和文本加图像输入。

推荐理由

引用 Artificial Analysis 对腾讯混元 Hy4 的评测,给出得分、编码能力、幻觉率与性价比的横向对比数据。

正文

Thanks for the evaluation! We’ll keep improving 🙏

引用Artificial Analysis@ArtificialAnlys
Hy4 from Tencent scores 35 on the Artificial Analysis Intelligence Index v5 and is the #2 model from a China-based AI lab Hy4 is the latest model from @TencentHunyuan and is the successor to Hy3 released earlier this year. It scores 35 on the Artificial Analysis Intelligence Index v5, equal with Grok 4.7 (xhigh) and 1 point behind Claude Haiku 5.5 (max). Hy4 is the #2 model from a China-based AI lab, behind only Kimi K3.1 Pro, which scores 46. Hy4 is priced at $0.834/$2.501 per 1M input/output tokens. Key takeaways: ➤ Hy4 excels at agentic coding tasks. Hy4 scores 31% on FrontierCode 2.0, compared to 32% for Claude Fable 5.1 (max). It is the leading model from a China-based AI lab, with DeepSeek V4.1 Flash 1017 (max) scoring 28% and Kimi K3.1 Pro scoring 25%. On Terminal-Bench 4.0, it scores 37%, the fourth-highest score among models from China-based AI labs ➤ Hy4 outperforms its peers on knowledge and reasoning. Hy4 achieves accuracy of 50% on AA-Omniscience v1.1, 1 point ahead of Kimi K3.1 Pro, but has a high hallucination rate of 89% compared to Kimi K3.1 Pro’s 37%. On HLE-Diamond, it scores 33% compared to Kimi K3.1 Pro’s 37% ➤ Hy4 offers a competitive Capability vs. Cost trade-off compared to to peers. With a Cost per Intelligence Index Task of $0.78, Hy4 (35) is 10-times cheaper than Grok 4.7 (xhigh, 35) and 13-times cheaper than Qwen3.8 Max (0902) (34) but almost twice as expensive as Claude Haiku 5.5 (max, 36) Other model details: ➤ Context window: 1 million tokens ➤ Pricing: $0.834/$2.501 per 1M input/output tokens. Cache reads $0.042 per 1M tokens ➤ Multimodality: Text and image input, with text output
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来源:Tencent Hy · x.com