Tencent Hunyuan / 腾讯混元 · Released 2026-11-04

Hy4

The official version of Tencent Hunyuan's newest flagship: the API is live on Tencent Cloud and OpenRouter at preview prices (¥6 input / ¥0.3 cached / ¥18 output per million tokens), with first-time vision and computer use; officially “the strongest open models” ranking entry, yet the weights and system card remain under a due-course promise as of 2026-11-04 (only preview weights on GitHub/HF, re-checked here). On the November 5 full AA re-read, Hy4 joins the source table at 35 (reasoning version, effort not named in the source table). “Strongest open models” remains an official characterization; appendix and audit figures are official claims; nothing reproduced here.

Original model explanation ↗

Where it stands in the leaderboard

Artificial Analysis intelligence comparison

35points

Intelligence Index

Rank 13 among included models

Test configuration: Reasoning version; effort not named in source table

Source read · · v5.0

From October 29, 2026 this board reads Artificial Analysis Intelligence Index v5.0 in full (the methodology page names v5.0 the same day): GDPval-AA exits, FrontierCode 2.0 (132 tasks from real open-source repositories, scored by maintainers' willingness to merge, blocking check failures score zero) weighs 15%, Terminal-Bench 4.0 weighs 10%, and knowledge work / coding / science / general each weigh 25%, with several evaluations on private data. Each model still uses its highest tested setting with fallback conditions retained; v5.0 and v4.3.2 scores cannot be compared across versions. Kimi K3, Qwen3.8-Flash-Next and Nemotron 3.5 Bolt 74B-A9B have no scored row on the v5.0 source table and leave the board (their last v4.3.2 values 44/40/21 remain in records); GLM-5.3-Flash first shows a v5.0 score on the October 31 re-read and joins at 28 (effort not named; its v4.3.2 42 stays in records); GPT-6.1 Terra now appears on the source table and joins under this board's rules; Gemini 4 Carbon (announced October 28) leads at 59 (high) without general availability yet. For Grok 4.7 under v5.0, high is taken; on the November 4 source table xhigh also reads 35, tying high, so high stays. Compare within one evaluator and one version; the index mainly measures English text tasks — judge Chinese and image capabilities separately. A full re-read on October 31: the other 28 rows are unchanged and GLM-5.3-Flash joins at 28. A full re-read on November 2: all 30 rows keep their scores and settings; new uncatalogued source rows (such as DeepSeek V4 Pro 0813 and Inkling) remain outside this board under the standing note. A full re-read on November 3: all 30 rows keep their scores and settings; new uncatalogued rows (Nanbeige4.3-33B, K2 Horizon, the Qwen3.5 series and others) remain outside this board under the standing note; the Grok 4.7 row's organization label now reads SpaceXAI on the source page — a display label only, not recorded here. Prior records stand: Mistral Large 4 weights opened on October 29, the source table retired the Preview row, and the released weights join at high 26 (medium 23), with the preview-era 25 kept in records; other new rows such as Mistral Small 4 are not catalogued. A full re-read on November 4: 25 rows keep their scores and settings while 5 rows gain +1 (Carbon 60, Opus 5.5 59, Muse Wonder 44, DeepSeek 1017 33, Ling 1019 30) — the pre-reread “Carbon and Opus tied for first” becomes “Carbon alone at the top”; new uncatalogued rows (Nanbeige4.3-33B, K2 Horizon, Inkling Small and others) remain outside this board under the standing note. A full re-read on November 5: all 30 rows keep their scores and settings; Hy4 joins the source table at 35 (reasoning version, effort not named in the source table), placed between Grok 4.7's 35 (high) and Qwen3.8 Max's 34; new uncatalogued rows remain outside this board under the standing note. A full re-read on November 6: all 31 rows keep their scores and settings; new uncatalogued rows remain outside this board under the standing note. A full re-read on November 8: all 31 rows keep their scores and settings; new uncatalogued rows (Inkling 2 Small and others) remain outside this board under the standing note.

Source evaluation & rankings ↗

Evaluations: conditions and results

Our reading · official page and chart caliber

Hy4 official version is live: numbers, promises and gaps →

On November 4, Tencent Hunyuan shipped the official Hy4: the API is live on Tencent Cloud and OpenRouter at preview prices (¥6 input, ¥0.3 cached, ¥18 output per million tokens), with the official line that Hy has entered the ranks of the strongest open models for the first time.

Tencent Hunyuan / 腾讯混元 model evolution

  1. Hy-Memory-30B-A3B · 研究与模型资料

    Long-term memory-writing research learns what to retain, update and consolidate within memory frameworks. Its four-harness results use fixed 20% benchmark subsamples and do not establish a general-capability rank.

    Original release ↗
  2. Hy-SimulMT · 同声传译开源

    The 30B-A3B Chinese-English simultaneous speech-translation model opens under Apache-2.0, with FP8/GGUF variants for two bases. Vendor results show ~3-second RealSI lag and 85.8% in the human comparison; they differ from the AA/Pi/Physics board methods.

    Original release ↗
  3. Hy4 正式版 · API 上线,权重承诺开源

    Hy4 official ships on Tencent Cloud and OpenRouter at preview prices (¥6 input / ¥0.3 cached / ¥18 output per million tokens), adding first-time vision and computer use. Weights and system card are promised “in due course” and remain unreleased; third-party boards have no Hy4 row yet. This site read the official research page in full and re-checked the weights repos in the evening round.

    Original release ↗