{"slug": "tencent-hy4-intelligence-performance-and-price-analysis", "title": "Tencent Hy4 Intelligence, Performance and Price Analysis", "summary": "Tencent Hy4, released November 3, 2026, scores 35 on the Artificial Analysis Intelligence Index, above the median of 30 for comparable models, according to Artificial Analysis. The reasoning model from Tencent accepts text and image input, outputs text, and carries a 1M-token context window, but generated 160M output tokens on the Intelligence Index versus a median of 75M, making it notably verbose. The benchmark results position Hy4 as above average in intelligence while consuming more than twice the typical token volume per evaluation.", "body_md": "# Tencent Hy4 Intelligence, Performance & Price Analysis\n\n### Model summary\n\n#### Performance\n\nTencent Hy4 is above average in intelligence when comparing to other models. The model supports text and image input, outputs text, and has a 1M tokens context window.\n\nTencent Hy4 scores 35 on the Artificial Analysis Intelligence Index, placing it above average among comparable models (median: 30). When evaluating the Intelligence Index, it generated 160M tokens, which is very verbose in comparison to the median of 75M.\n\n| Reasoning | Yes This page shows the reasoning version of this model. A non-reasoning variant may also exist. | \n|---|---|\n| Input modality | Supports: text and image | \n| Output modality | Supports: text | \n| Context window | 1M ~1573 A4 pages of size 12 Arial font | \n\nMetrics are compared against models of the same class:\n\n- Non-reasoning models → compared only with other non-reasoning models\n- Reasoning models → compared across both reasoning and non-reasoning\n- Open weights models → compared only with other open weights models of the same size class:\n- Tiny: ≤4B parameters\n- Small: 4B–40B parameters\n- Medium: 40B–150B parameters\n- Large: >150B parameters\n- Proprietary models → compared across proprietary and open weights models of the same price range, using a blended 3:1 input/output price ratio:\n- <$0.15 per 1M tokens\n- $0.15–$1 per 1M tokens\n- >$1 per 1M tokens\n\n### Time per Task\n\n## Intelligence\n\n### [Artificial Analysis Intelligence Index](https://artificialanalysis.ai/evaluations/artificial-analysis-intelligence-index)\n\n### Artificial Analysis Intelligence Index by Open Weights / Proprietary\n\n### Intelligence Index vs. Cost per Task\n\nMeasures the performance of models on specific capabilities and industries\n\n### [Artificial Analysis Finance & Accounting Index](https://artificialanalysis.ai/indexes/finance-and-accounting)\n\n### Evaluations\n\nAgentic knowledge work, Elo\n\nKnowledge\n\n1 - hallucination rate\n\nAgentic SaaS workflows\n\nAgentic scientific research workflows in a terminal\n\nAgentic software engineering in open-source repositories\n\nReasoning & knowledge\n\nProfessional document reasoning, All-pass\n\nAgentic coding & terminal use\n\nPhysics reasoning\n\nQuantitative analysis on spreadsheets & documents\n\nLegal agentic work, Hallucination-Gated All-Pass Rate\n\nAgentic business operations\n\nAgentic real-world work tasks, Elo\n\nAgentic interactive 3D experiences, Elo\n\nProduct and brand videos designed in code, Elo\n\nKubernetes incident root-cause analysis\n\nMedical long context reasoning\n\nVisual reasoning\n\nRich, varied, well-crafted language\n\nWell-structured, scannable, answer-first\n\nTruthful, acknowledges uncertainty, non-sycophantic\n\nUse of filler and generic language\n\n### AA-Briefcase v1.1\n\n### AA-Briefcase Elo\n\n### AA-Omniscience v1.1\n\n### AA-Omniscience Net Score\n\n## Token Use\n\n### Output Tokens per Intelligence Index Task\n\n## Cost\n\n### Cost per Intelligence Index Task\n\n### Cost to Run Artificial Analysis Intelligence Index\n\n### Pricing: Cache Hit, Input, and Output\n\n## Context Window\n\n### Context Window\n\n## Frequently Asked Questions\n\nCommon questions about Tencent Hy4\n\nTencent Hy4 was released on November 3, 2026.\n\nTencent Hy4 was created by Tencent.\n\nTencent Hy4 scores 35 on the Artificial Analysis Intelligence Index, placing it above average among other models (median: 30).\n\nWhen evaluated on the Intelligence Index, Tencent Hy4 generated 160M output tokens, which is at the higher end compared to other models (median: 75M).\n\nYes, Tencent Hy4 is a reasoning model. It uses extended thinking or chain-of-thought reasoning to work through complex problems before providing an answer.\n\nTencent Hy4 supports text and image input.\n\nTencent Hy4 supports text output.\n\nYes, Tencent Hy4 supports image input and can analyze, describe, and answer questions about images.\n\nYes, Tencent Hy4 is multimodal. It can process text and image input and generate text output.\n\nTencent Hy4 has a context window of 1M tokens. This determines how much text and conversation history the model can process in a single request.\n\nNo, Tencent Hy4 is proprietary. The model weights are not publicly available.\n\nTencent Hy4 is a proprietary model and Tencent has not disclosed the model size or parameter count.\n\nTencent Hy4 achieves a score of 35 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across knowledge work, coding, science, and general knowledge.\n\nCheck the providers page for current API availability. [View providers](https://artificialanalysis.ai/models/tencent-hy4/providers)\n\nVisit the providers page to see availability. [Compare providers](https://artificialanalysis.ai/models/tencent-hy4/providers)", "url": "https://wpnews.pro/news/tencent-hy4-intelligence-performance-and-price-analysis", "canonical_source": "https://artificialanalysis.ai/models/tencent-hy4", "published_at": "2026-11-05 06:09:17+00:00", "updated_at": "2026-11-05 06:20:29.553212+00:00", "lang": "en", "topics": ["artificial-intelligence", "large-language-models", "ai-research"], "entities": ["Tencent", "Tencent Hy4", "Artificial Analysis", "Artificial Analysis Intelligence Index"], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/tencent-hy4-intelligence-performance-and-price-analysis", "markdown": "https://wpnews.pro/news/tencent-hy4-intelligence-performance-and-price-analysis.md", "text": "https://wpnews.pro/news/tencent-hy4-intelligence-performance-and-price-analysis.txt", "jsonld": "https://wpnews.pro/news/tencent-hy4-intelligence-performance-and-price-analysis.jsonld"}}