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RadarAI· X:Artificial Analysis (@ArtificialAnlys)·· 3 小时前AI 评分60

腾讯混元 Hy4 在 Artificial Analysis Intelligence Index v5 得 35 分,居中国 AI 实验室模型第二

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Artificial Analysis 评测显示,腾讯混元 Hy4 在 Artificial Analysis Intelligence Index v5 得 35 分,与 Grok 4.7 (xhigh) 持平,落后 Kimi K3.1 Pro 的 46 分,为中国 AI 实验室模型第二。

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Artificial Analysis· @ArtificialAnlys · X·2026-11-05 16:28· 38 分钟前AI 评分61

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Artificial Analysis 评测腾讯混元 Hy4,其在 Artificial Analysis Intelligence Index v5 得 35 分,与 Grok 4.7 (xhigh) 持平,落后 Kimi K3.1 Pro 的 46 分,为中国 AI 实验室模型第二。

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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

来源:Artificial Analysis · x.com

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