MarsCompute / marscompute/qwen-sea-lion-v4.5-27b

Qwen-SEA-LION-v4.5-27B-IT - access through LLMTR

Qwen-SEA-LION-v4.5-27B-IT is AI Singapore's instruction model for Southeast Asian languages, trained on top of Qwen3.6-27B. Alongside English it supports Burmese, Indonesian, Filipino, Malay, Tamil, Thai and Vietnamese; Turkish is not among its supported languages. Text in, text out; thinking is switched off. Prompt and reply together can be at most 8,192 tokens, and the prompt text cannot exceed about 32,000 characters; lower `max_tokens` accordingly for long prompts. Tool calling and JSON response formats are not supported. The model has not been aligned for safety; use your own content filter in applications open to end users.

Technical specifications

Canonical IDmarscompute/qwen-sea-lion-v4.5-27b
ProviderMarsCompute
Context window8,192 tokens
OperationsCHAT_COMPLETIONS
Modalitiestext

Pricing

An 8% platform margin applies to credit top-ups; model usage prices are not separately marked up.

OperationMetricUnitPrice
CHAT_COMPLETIONSINPUT_TEXTPER_1M_TOKENS$0.600000
CHAT_COMPLETIONSOUTPUT_TEXTPER_1M_TOKENS$3.60

Example usage

With existing OpenAI SDK flows, change only the base URL and model identifier.

curl https://llmtr.com/v1/chat/completions   -H "Authorization: Bearer llmtr-your_key"   -H "Content-Type: application/json"   -d '{"model":"marscompute/qwen-sea-lion-v4.5-27b","messages":[{"role":"user","content":"Hello"}]}'

Related models