LLM Reference

Aquila Chat 2 34B

Released
2023-11-02
Last refreshed
2026-05-19
Status
Researched 106d ago
ProprietaryCommercial use: conditional

Aquila Chat 2 34B is an early limited-data entry; LLMReference does not yet track enough provider, pricing, benchmark, or task-fit evidence to recommend it.

Use it for

  • Teams evaluating general LLM work
  • Workloads that can use a 2k context window

Do not use it for

  • Cost-sensitive launches that need sourced token pricing
  • Vision or document-understanding workloads
  • Strict JSON or tool-calling flows
Specifications
Family
Aquila 2
Released
2023-11-02
Context
2k
Parameters
34B
Architecture
Decoder Only
Specialization
general
Openness
Proprietary
License
ProprietaryCommercial use: conditional
Weights
Not released
Code
Unknown
Training
Fine-tuned
Created by

Open-source AI fostering global collaboration

Beijing, China
Founded 2018
Website
Pricing

No tracked provider token pricing is available yet.

About

The AquilaChat2-34B, developed by the Beijing Academy of Artificial Intelligence (BAAI), is part of the Aquila2 series and is a powerful large language model (LLM) designed to excel in a variety of language processing tasks. It features strong language understanding and generation skills, comparable to or surpassing GPT-3.5 in specific evaluations across eight secondary ability dimensions. It is equipped to handle diverse tasks such as chatbots, content generation, question answering, summarization, and supports multilingual capabilities in both English and Chinese.

Top use-case fit

No primary decision-task fit is mapped for this model yet.

Provider price ladder

No tracked provider token pricing is available for this model yet.

Capabilities

No model capability flags are currently sourced.

Benchmark peer barsfor Coding

No task-mapped benchmark peers are available for this model yet.

Migration checks

No linked migration route is available for this model yet.