SEA-LION V4 27B Instruct
SEA-LION V4 27B Instruct is worth evaluating for rag, agents, and long context when its provider route and context window match the workload.
Use it for
- Teams evaluating rag, agents, and long context
- Workloads that can use a 128k context window
- Buyers comparing 1 tracked provider route
Do not use it for
- Workloads where another current model has stronger sourced task evidence
- Family
- SEA-LION
- Released
- 2025-08-25
- Context
- 128k
- Parameters
- 27B
- Architecture
- Decoder Only
- Specialization
- general
- License
- Gemma
- Training
- finetuned
Cheapest of 1 route · Cloudflare Workers AI
About
SEA-LION V4 27B Instruct is AI Singapore's Gemma 3 27B-based regional language model for Southeast Asian language tasks. It extends the SEA-LION line with continued pretraining and post-training for Burmese, Indonesian, Khmer, Lao, Malay, Mandarin, Tagalog, Tamil, Thai, Vietnamese, and English workloads, and is available through Cloudflare Workers AI.
SEA-LION V4 27B Instruct is an open-source model in the SEA-LION family. The structured metadata tracks a 128k-token context window, multimodal input, function calling, tool use, and structured outputs. This page tracks provider routes through Cloudflare Workers AI. No headline benchmark score is tracked for SEA-LION V4 27B Instruct yet.
Top use-case fit: coding, agents, and build tasks
RAG
Included by capability and metadata signals in the decision map.
Agents
Included by capability and metadata signals in the decision map.
Long context
Included by capability and metadata signals in the decision map.
Provider price ladder
Compare API pricing across 1 providers for input and output tokens, batch, and cached reads when available.
| Provider | Input / 1M | Output / 1M | Route |
|---|---|---|---|
| Cloudflare Workers AI | - | - | ServerlessPartial |
Capabilities
Benchmark peer barsfor RAG
No task-mapped benchmark peers are available for this model yet.
Migration checks
No linked migration route is available for this model yet.