Trinity Large Thinking Pricing
ReasoningArcee AI · 262K tokens context
Trinity Large Thinking from Arcee AI costs $0.250 per 1 million input tokens and $0.800 per 1 million output tokens as of July 2026 (live OpenRouter data). The model supports a 262,144-token context window (approximately 196,608 words) with a 80K-token maximum output. A typical 1,000-token request costs $0.0003 in input charges; a 10,000-token request costs $0.0025.
| Input price | $0.250 / 1M tokens |
|---|---|
| Output price | $0.800 / 1M tokens |
| Output / input ratio | 3.2× |
| Context window | 262,144 tokens (~196,608 words) |
| Maximum output | 80,000 tokens |
| Cost per 1K tokens (input) | $0.0003 |
| Tier | Reasoning |
| Last verified |
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.
Input Price
$0.250
per 1 million tokens
Output Price
$0.800
per 1 million tokens
Context Window
262K tokens
max 80K output
Cost Examples
| Request Type | Tokens | Input Cost | Output Cost |
|---|---|---|---|
| 1,000 word article | 1,333 | $0.000333 | $0.00032 |
| 10-page document (2,500 words) | 3,333 | $0.000833 | $0.0008 |
| 1,000 lines of code | 5,000 | $0.00125 | $0.0012 |
| 100K token document | 100,000 | $0.025 | $0.024 |
Output cost estimated at 30% of input token count. Use the calculator for exact figures.
Strengths
- ✓Affordable at $0.25/1M input tokens
- ✓Large 262K-token context window
- ✓Step-by-step chain-of-thought reasoning
Limitations
- –Higher latency; reasoning tokens add to output cost
- –Quality and availability can vary by hosting provider
Best Use Cases
Calculate Trinity Large Thinking Costs
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Open Calculator →Trinity Large Thinking — FAQ
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