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Tencent 混元 Hy4 登 Artificial Analysis 榜单,中国实验室模型第二名

精选理由

腾讯混元出新模型 Hy4 了,智能体编程跑赢 DeepSeek 和 Kimi,价格只有 Grok 的十分之一,不过 89% 的幻觉率得留意。

Tencent Hunyuan 发布 Hy4,接替年初的 Hy3,在 Artificial Analysis Intelligence Index v5 拿到 35 分,与 Grok 4.7 (xhigh) 持平,落后 Claude Haiku 5.5 (max) 1 分。Hy4 在 FrontierCode 2.0 上得分 31%,超过 DeepSeek V4.1 Flash 1017 的 28% 和 Kimi K3.1 Pro 的 25%,是中国实验室中智能体编程表现最好的模型。知识推理方面,Hy4 在 AA-Omniscience v1.1 达到 50%,领先 Kimi K3.1 Pro 1 分,但幻觉率高达 89%,远差于 Kimi K3.1 Pro 的 37%。定价为每百万 tokens 输入 $0.834、输出 $2.501,单任务成本 $0.78,比 Grok 4.7 便宜 10 倍。模型支持 100 万 tokens 上下文和文本、图像输入。

原文 · Hunyuan

Thanks for the evaluation! We’ll keep improving 🙏 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 🔗 View Quoted Tweet 💬 1 🔄 0 ❤️ 6 👀 274 📊 2 ⚡