LLM Reference
Haotian Liu

Haotian Liu

10 models across 3 families · Latest: LLaVA 1.6 Vicuna 7B (2024-01)

Academic researcher focused on vision models

VisionClassificationJSON / Tool useIndividual

Haotian Liu's portfolio covers 8 active models across 3 current families, spanning vision, classification, and json / tool use. Open a model detail page to compare provider routes and sourced benchmarks.

Covers 3 workload areas across 8 active tracked models; last verified 2026-05-19.

Use it for

  • Teams evaluating vision, classification, and json / tool use across this lab's releases
  • Comparing model families before committing to a flagship
  • Migration and pricing follow-ups across 8 tracked models

Do not use it for

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

Active models

8

Current models from this lab, excluding deprecated ones

Active families

3

Current model families from this lab

Open catalog

8 open

2 open source / 6 open weights

Lowest output price

$0.150 /1M

Cheapest tracked output across active models, per 1M tokens

Latest dated release

2024-01-31

LLaVA 1.6 Vicuna 7B

Freshness

2026-05-19

Researched 106d ago

stale

Release cadence

Dated releases
5
Latest date
2024-01-31

Where this lab wins

  • Vision: 3 tracked models with multimodal benchmark coverage.
  • Classification: 1 tracked model with MMLU-class moderation/safety coverage.
  • JSON/tool-use: 1 tracked model with BFCL / Nexus strict-JSON routing coverage.

Flagship quality / price signal

Selection source
Best sourced coding Q/$
Coding grade
unknown
Benchmark / output price
Not enough sourced benchmark and price coverage

About

Haotian Liu is a distinguished AI researcher who has made substantial contributions to the fields of generative AI and large language models (LLMs). His academic path was marked by rigorous training and research in computer vision and machine learning, commencing with a bachelor's degree at Zhejiang University. Liu advanced this knowledge during his Ph.D. at the University of Wisconsin-Madison, under the mentorship of Professor Yong Jae Lee, where he honed his expertise in integrating visual and textual data. A hallmark of Liu's research is the development of the Large Language and Vision Assistant (LLaVA).

Featured models

ModelReleasedContextInput price ($/1M)Output price ($/1M)LicenseOpenness
LLaVA 1.6 Vicuna 7B2024-01-314k$0.05$0.25Apache 2.0Open source
LLaVA 1.6 Vicuna 13B2024-01-314k$0.10$0.50Apache 2.0Open source
LLaVA 1.6 Mistral 7B2024-01-3132k$0.05$0.25Apache 2.0Open source

Model families

Recent releases

  1. LLaVA 1.6 Vicuna 7B- 2024-01-31
  2. LLaVA 1.6 Vicuna 13B- 2024-01-31
  3. LLaVA 1.6 Mistral 7B- 2024-01-31
  4. LLaVA 1.6 Hermes Yi 34B- 2024-01-31
  5. LLaVA 1.5 7B- 2024-01-30

Explore related pages

Last reviewed: 2026-05-19. Data sourced from public lab announcements and provider documentation.