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Tencent Hy4 Intelligence, Performance and Price Analysis

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.

read3 min views2 publishedNov 5, 2026
Tencent Hy4 Intelligence, Performance and Price Analysis
Image: source

Model summary

Performance

Tencent 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.

Tencent 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.

Reasoning Yes This page shows the reasoning version of this model. A non-reasoning variant may also exist.
Input modality Supports: text and image
Output modality Supports: text
Context window 1M ~1573 A4 pages of size 12 Arial font

Metrics are compared against models of the same class:

  • Non-reasoning models → compared only with other non-reasoning models
  • Reasoning models → compared across both reasoning and non-reasoning
  • Open weights models → compared only with other open weights models of the same size class:
- Tiny: ≤4B parameters
- Small: 4B–40B parameters
- Medium: 40B–150B parameters
- Large: >150B parameters
  • Proprietary models → compared across proprietary and open weights models of the same price range, using a blended 3:1 input/output price ratio:

  • <$0.15 per 1M tokens

  • $0.15–$1 per 1M tokens

  • $1 per 1M tokens

Time per Task

Intelligence #

Artificial Analysis Intelligence Index

Artificial Analysis Intelligence Index by Open Weights / Proprietary

Intelligence Index vs. Cost per Task

Measures the performance of models on specific capabilities and industries

Artificial Analysis Finance & Accounting Index

Evaluations

Agentic knowledge work, Elo

Knowledge

1 - hallucination rate

Agentic SaaS workflows

Agentic scientific research workflows in a terminal

Agentic software engineering in open-source repositories

Reasoning & knowledge

Professional document reasoning, All-pass

Agentic coding & terminal use

Physics reasoning

Quantitative analysis on spreadsheets & documents

Legal agentic work, Hallucination-Gated All-Pass Rate

Agentic business operations

Agentic real-world work tasks, Elo

Agentic interactive 3D experiences, Elo

Product and brand videos designed in code, Elo

Kubernetes incident root-cause analysis

Medical long context reasoning

Visual reasoning

Rich, varied, well-crafted language

Well-structured, scannable, answer-first

Truthful, acknowledges uncertainty, non-sycophantic

Use of filler and generic language

AA-Briefcase v1.1

AA-Briefcase Elo

AA-Omniscience v1.1

AA-Omniscience Net Score

Token Use #

Output Tokens per Intelligence Index Task

Cost #

Cost per Intelligence Index Task

Cost to Run Artificial Analysis Intelligence Index

Pricing: Cache Hit, Input, and Output

Context Window #

Context Window

Frequently Asked Questions #

Common questions about Tencent Hy4

Tencent Hy4 was released on November 3, 2026.

Tencent Hy4 was created by Tencent.

Tencent Hy4 scores 35 on the Artificial Analysis Intelligence Index, placing it above average among other models (median: 30).

When evaluated on the Intelligence Index, Tencent Hy4 generated 160M output tokens, which is at the higher end compared to other models (median: 75M).

Yes, Tencent Hy4 is a reasoning model. It uses extended thinking or chain-of-thought reasoning to work through complex problems before providing an answer.

Tencent Hy4 supports text and image input.

Tencent Hy4 supports text output.

Yes, Tencent Hy4 supports image input and can analyze, describe, and answer questions about images.

Yes, Tencent Hy4 is multimodal. It can process text and image input and generate text output.

Tencent Hy4 has a context window of 1M tokens. This determines how much text and conversation history the model can process in a single request.

No, Tencent Hy4 is proprietary. The model weights are not publicly available.

Tencent Hy4 is a proprietary model and Tencent has not disclosed the model size or parameter count.

Tencent 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.

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