Trinity-Large-Preview
trinity-large-preview
Last refreshed 2026-05-11. Next refresh: weekly.
Trinity-Large-Preview 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
$0.450
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 | $0.150 | $0.450 | 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
400B sparse MoE instruct model with 13B active parameters per token, served at 128K context via 8-bit quantized API. Trained on 20T tokens. Production-ready for agentic and tool-use applications; predecessor to Trinity-Large-Thinking. Available free on OpenRouter.
Trinity-Large-Preview has a 128K-token context window.
Trinity-Large-Preview input tokens at $0.15/1M, output at $0.45/1M.