LLM
Ling-3.0-Flash
Ling-3.0-FlashAn efficient 124B hybrid MoE model with 5.1B active parameters, 256K context, and strong coding and agentic reasoning.
Model details
View repositoryinclusionAI’s Ling-3.0-flash is a 124B-parameter reasoning model, built on a hybrid-linear sparse MoE architecture that activates only 5.1B parameters per token. With a 256K context window and near-BF16 benchmark performance, it is designed for efficient production inference across coding, deep research, instruction following, and long-running agentic workflows.
Input
1export BASETEN_MODEL_ID="<your-model-id>"
2
3curl -N -X POST \
4 "https://model-${BASETEN_MODEL_ID}.api.baseten.co/environments/production/sync/v1/chat/completions" \
5 -H "Authorization: Bearer $BASETEN_API_KEY" \
6 -H "Content-Type: application/json" \
7 -d '{"model": "inclusionAI/Ling-3.0-flash",
8 "messages": [{"role": "user", "content": "hello!"}],
9 "chat_template_kwargs": {"enable_thinking": true},
10 "stream": true,
11 "temperature": 0.6,
12 "top_k": 20,
13 "top_p": 0.95
14 }'
