🇹🇭 OpenThaiGPT R1 32b is an advanced 32-billion-parameter Thai language reasoning model that outperforms larger models like DeepSeek R1 70b and Typhoon R1 70b, while being less than half their size. This model excels at complex reasoning tasks, including mathematics, logic, and code reasoning in Thai language.

📢 OpenThaiGPT is now OpenThai

The project was renamed in July 2026. Released models keep their original names, and this repository path is unchanged and permanent. → openthai.aieat.or.th

Other models in the family

Need	Model
⚖️ Thai law, statute citation, legal RAG	OpenThai 2.0 Legal 30B-A3B ← newest
🧠 Reasoning, maths, logic, code	OpenThaiGPT R1 32B
💬 General Thai chat and coding	OpenThaiGPT 1.6 72B
💻 Limited GPU	OpenThaiGPT 1.5 7B

⚡ Run it locally

ollama run openthai/openthai-r1-32b

Official GGUF quants (Q4_K_M / Q5_K_M / Q8_0): openthaigpt/openthaigpt-r1-32b-instruct-GGUF — runs in ~24 GB RAM/VRAM in 4-bit. Step-by-step guide: openthai.aieat.or.th/ollama

Highlights

State-of-the-art Thai reasoning model, outperforming larger models on mathematical and logical reasoning tasks
Explicit reasoning capabilities with the ability to show step-by-step thought processes
Significantly smaller size (32b) while outperforming 70b models
Specialized for Thai language reasoning including complex mathematics and logic problems
High performance on code reasoning in both Thai and English

Benchmark Results

SkyThought	OpenThaiGPT R1 32b	DeepSeek R1 70b	Typhoon R1 Distill 70b
AIME24-TH	56.67	33.33	53.33
AIME24	63.36	53.33	53.33
MATH500-TH	83.8	75.4	81
MATH500	89.4	88.88	90.2
LiveCodeBench-TH	62.16	53.15	47.75
LiveCodeBench	69.67	64.97	54.79
OpenThaiEval	76.05	74.17	77.59
AVERAGE	71.58	63.31	65.42

Recommended System Prompt

<No system prompt>

Model Technical Report

https://arxiv.org/abs/2504.01789

If OpenThaiGPT has been beneficial for your work, kindly consider citing it as follows:

tex

@misc{yuenyong2025openthaigpt16r1thaicentric,
      title={OpenThaiGPT 1.6 and R1: Thai-Centric Open Source and Reasoning Large Language Models}, 
      author={Sumeth Yuenyong and Thodsaporn Chay-intr and Kobkrit Viriyayudhakorn},
      year={2025},
      eprint={2504.01789},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2504.01789}, 
}

How to use

Online Web Interface

https://chindax.iapp.co.th

Transformers

python

from transformers import AutoModelForCausalLM, AutoTokenizer

model_name = "openthaigpt/openthaigpt-r1-32b-instruct"

model = AutoModelForCausalLM.from_pretrained(
    model_name,
    torch_dtype="auto",
    device_map="auto"
)
tokenizer = AutoTokenizer.from_pretrained(model_name)

prompt = "จงหาพื้นที่ของวงกลมที่มีรัศมี 7 หน่วย"
messages = [
    {"role": "user", "content": prompt}
]
text = tokenizer.apply_chat_template(
    messages,
    tokenize=False,
    add_generation_prompt=True
)
model_inputs = tokenizer([text], return_tensors="pt").to(model.device)

generated_ids = model.generate(
    **model_inputs,
    max_new_tokens=16384,
    temperature=0.6
)
generated_ids = [
    output_ids[len(input_ids):] for input_ids, output_ids in zip(model_inputs.input_ids, generated_ids)
]

response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]

vLLM

Install VLLM (https://github.com/vllm-project/vllm)
Run server

vllm serve openthaigpt/openthaigpt-r1-32b --tensor-parallel-size 2

Note, change --tensor-parallel-size 2 to the amount of available GPU cards.

Run inference (CURL example)

bash

curl -X POST 'http://127.0.0.1:8000/v1/chat/completions' \
-H 'Content-Type: application/json' \
-d '{
  "model": "openthaigpt/openthaigpt-r1-32b-instruct",
  "messages": [
    {
      "role": "user",
      "content": "จงหาพื้นที่ของวงกลมที่มีรัศมี 7 หน่วย"
    }
  ],
  "max_tokens": 16384,
  "temperature": 0.6,
  "top_p": 0.95,
  "top_k": 40
}'

GPU Memory Requirements

Number of Parameters	FP 16 bits	8 bits (Quantized)	4 bits (Quantized)
32b	64 GB	32 GB	16 GB

Chat Template

{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set ns = namespace(is_first=false, is_tool=false, is_output_first=true, system_prompt='') %}{%- for message in messages %}{%- if message['role'] == 'system' %}{% set ns.system_prompt = message['content'] %}{%- endif %}{%- endfor %}{{bos_token}}{{ns.system_prompt}}{%- for message in messages %}{%- if message['role'] == 'user' %}{%- set ns.is_tool = false -%}{{'<｜User｜>' + message['content']}}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is none %}{%- set ns.is_tool = false -%}{%- for tool in message['tool_calls']%}{%- if not ns.is_first %}{{'<｜Assistant｜><｜tool▁calls▁begin｜><｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\\n' + '```json' + '\\n' + tool['function']['arguments'] + '\\n' + '```' + '<｜tool▁call▁end｜>'}}{%- set ns.is_first = true -%}{%- else %}{{'\\n' + '<｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\\n' + '```json' + '\\n' + tool['function']['arguments'] + '\\n' + '```' + '<｜tool▁call▁end｜>'}}{{'<｜tool▁calls▁end｜><｜end▁of▁sentence｜>'}}{%- endif %}{%- endfor %}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is not none %}{%- if ns.is_tool %}{{'<｜tool▁outputs▁end｜>' + message['content'] + '<｜end▁of▁sentence｜>'}}{%- set ns.is_tool = false -%}{%- else %}{% set content = message['content'] %}{% if '</think>' in content %}{% set content = content.split('</think>')[-1] %}{% endif %}{{'<｜Assistant｜>' + content + '<｜end▁of▁sentence｜>'}}{%- endif %}{%- endif %}{%- if message['role'] == 'tool' %}{%- set ns.is_tool = true -%}{%- if ns.is_output_first %}{{'<｜tool▁outputs▁begin｜><｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}{%- set ns.is_output_first = false %}{%- else %}{{'\\n<｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}{%- endif %}{%- endif %}{%- endfor -%}{% if ns.is_tool %}{{'<｜tool▁outputs▁end｜>'}}{% endif %}{% if add_generation_prompt and not ns.is_tool %}{{'<｜Assistant｜>'}}{% endif %}

Licenses

This model is available for Research and Commercial uses under the specified terms. Please see the LICENSE file for more information.

Supports

Official website: https://openthai.aieat.or.th
Facebook page: https://web.facebook.com/groups/openthaigpt
A Discord server for discussion and support here
E-mail: kobkrit@iapp.co.th

OpenThaiGPT Team

Kobkrit Viriyayudhakorn (kobkrit@iapp.co.th / kobkrit@aieat.or.th)
Sumeth Yuenyong (sumeth.yue@mahidol.edu)
Thodsaporn Chay-intr (thodsaporn@iapp.co.th)

openthaigpt/
openthaigpt-r1-32b-instruct

🇹🇭 OpenThaiGPT R1 32b

📢 OpenThaiGPT is now OpenThai