Tencent AI Lab

10 models across 3 families · Latest: Youtu-Parsing-Omni (2026-10)

AI innovations for societal improvement

CodingRAGAgentsLong contextVisionJSON / Tool useChina
Tencent AI Lab releases · 5 in the last 12 monthsChangelog →

Tencent AI Lab's portfolio covers 10 active models across 3 current families, spanning coding, rag, and agents. Open a model detail page to compare provider routes and sourced benchmarks.

Covers 6 workload areas across 10 active tracked models; last verified 2026-10-09.

Use it for

  • Teams evaluating coding, rag, and agents across this lab's releases
  • Comparing model families before committing to a flagship
  • Migration and pricing follow-ups across 10 tracked models

Do not use it for

  • Choosing a hosting provider without opening a model page for price ladders

Active models

10

Current models from this lab, excluding deprecated ones

Active families

3

Current model families from this lab

Open catalog

10 open

1 open source / 9 open weights

Lowest output price

$0.260 /1M

Cheapest tracked output across active models, per 1M tokens

Latest dated release

2026-10-09

Youtu-Parsing-Omni

Freshness

2026-10-09

Researched 9d ago

fresh

Information

Founded2016
Shenzhen, China

Release cadence

Dated releases
5
Latest model
Youtu-Parsing-Omni
Latest date
2026-10-09

Where this lab wins

  • Coding: 2 tracked models with SWE-bench / HumanEval-style scores.
  • RAG: 2 tracked models with ruler / needle retrieval benchmarks.
  • Agentic: 2 tracked models with BFCL, tau-bench, and SWE-bench tool-use coverage.
  • Long-context: 8 tracked models with context-token or InfiniteBench-class signal.

Flagship quality / price signal

Selection source
Best sourced coding Q/$
Coding grade
B
Benchmark / output price
swe-bench-verified 74.4 · $0.260/1M

About

Tencent AI Lab, established in Shenzhen in 2016, is a strategic initiative of Tencent dedicated to advancing AI research, with a particular focus on generative AI and Large Language Models (LLMs). The lab's mission extends beyond mere technological advancement, aiming to apply AI solutions to real-world problems across diverse sectors. Research at the lab covers critical areas like computer vision, speech technology, natural language processing (NLP), and machine learning. These foundational technologies are translated into practical applications within key domains such as gaming, digital personas, content creation, and social AI.

Featured models

ModelReleasedContextInput price ($/1M)Output price ($/1M)LicenseOpenness
Youtu-Parsing-Omni2026-10-09---Youtu-Parsing LicenseOpen weights
Hunyuan Hy4 Preview2026-08-281M$0.834$2.501Apache 2.0Open source
Hunyuan Hy3 Preview2026-04-22256K$0.18$0.6Tencent Hunyuan Community LicenseOpen weights

Model families

Recent releases

  1. Youtu-Parsing-Omni- 2026-10-09
  2. Hunyuan Hy4 Preview- 2026-08-28
  3. Hunyuan Hy3 Preview- 2026-04-22
  4. Tencent Hunyuan Turbo S- 2026-01-10
  5. Tencent Hunyuan A13B Instruct- 2025-11-15

Top comparisons

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Last reviewed: 2026-10-09. Data sourced from public lab announcements and provider documentation.