Trinity Mini
trinity-mini
Last refreshed 2026-05-11. Next refresh: weekly.
Trinity Mini is worth evaluating for rag, agents, and long context when its provider route and context window match the workload.
Decision context: RAG task fit, 2 tracked provider routes, and research from 2026-04-19.
Use it for
- Teams evaluating rag, agents, and long context
- Workloads that can use a 128K context window
- Buyers comparing 2 tracked provider routes
Do not use it for
- Vision or document-understanding workloads
Cheapest output
$0.150
OpenRouter per 1M tokens
Provider routes
2
Tracked API hosts
Quality / dollar
Unknown
No task benchmark coverage yet
Freshness
2026-04-19
Researched 32d ago
Top use-case fit
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 all 2| Provider | Input / 1M | Output / 1M | Route |
|---|---|---|---|
| OpenRouter | $0.045 | $0.150 | Serverless |
| Arcee AI | - | - | ServerlessPartial |
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.
About
26B sparse MoE with 3B active parameters per token and 128K context window. Trained on 10T tokens. Fully post-trained for reasoning and instruction following, suitable for cloud or on-premises deployment. Available via Arcee AI API and OpenRouter.
Trinity Mini has a 128K-token context window.
Trinity Mini input tokens at $0.045/1M, output at $0.15/1M.