Trinity Large Thinking
trinity-large-thinkingTrinity Large Thinking is a powerful open source reasoning model from the team at Arcee AI. It shows strong performance in PinchBench, agentic workloads, and reasoning tasks. Launch video: https://youtu.be/Gc82AXLa0Rg?si=4RLn6WBz33qT--B7... Built by Arcee AI.
Prices updated
Input price
$0.25
per 1M tokens · Standard
Output price
$0.80
per 1M tokens · Standard
Input limit
262K
tokens
Output limit
80K
tokens
Input formats
Output formats
Trinity Large Thinking price history
2 price records since 10/8/2026
Trinity Large Thinking cost calculator
$9.00/month
Standard pricing
Overview
What is Trinity Large Thinking?
Trinity Large Thinking is a text & reasoning model from Arcee AI. Trinity Large Thinking is a powerful open source reasoning model from the team at Arcee AI. It shows strong performance in PinchBench, agentic workloads, and reasoning tasks. Launch video: https://youtu.be/Gc82AXLa0Rg?si=4RLn6WBz33qT--B7... Its 262K context window and $0.25 input price make it a candidate for cost-sensitive, high-throughput applications.
Rates
Trinity Large Thinking pricing
Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.
Input · Standard
$0.25
Per 1M tokens
Cached input · Standard
$0.06
Per 1M tokens
Capabilities
Trinity Large Thinking Tools
Tools available when using Trinity Large Thinking through supported provider APIs.
Function calling
Supported
Structured outputs
Not supported
JSON mode
Not supported
Reasoning
Supported
Built-in web search
Not supported
Log probabilities
Not supported
Deterministic seed
Not supported
Parallel tool calls
Not supported
Prompt caching
Supported
Strengths and limitations
Strengths
- Low input cost at $0.25 per million tokens suits high-volume workloads.
- 262K context supports large documents, repositories and extended conversations.
- Supports text & reasoning workloads in one model.
Limitations
- Generated tokens cost 3× more than input tokens, which matters for verbose responses.
- Large context capacity does not guarantee consistent retrieval across the entire prompt.
- Arena Elo and MMLU-Pro are directional; test accuracy, latency and reliability on your own workload before committing.
Arena Elo, MMLU-Pro and pricing figures are illustrative; validate current vendor terms before purchase.