# Trinity Large Thinking Usage, Cost & Rank | OpenCode Data

> Trinity Large Thinking costs $0.25 per 1M input tokens and $0.80 per 1M output tokens.

Reasoning-optimized 398B MoE agent model with extended thinking for long-horizon and multi-turn tool use

- Page: https://opencode.ai/data/arcee-ai/trinity-large-thinking
- JSON: https://opencode.ai/data/arcee-ai/trinity-large-thinking.json
- Model ID: arcee-ai/trinity-large-thinking
- Lab: Arcee AI

## Model facts

| Fact | Value |
| --- | --- |
| Context window | 524K |
| Max output | 262K |
| Knowledge cutoff | - |
| Release date | 2026-04-01 |
| Input modalities | text |
| Output modalities | text |
| Reasoning | Yes |
| Tool calling | Yes |
| Open weights | Yes |
| Weights | [Hugging Face](https://huggingface.co/arcee-ai/Trinity-Large-Thinking) |

## Pricing: USD per 1M tokens

| Input | Output | Cached input | Cache write |
| --- | --- | --- | --- |
| $0.25 | $0.80 | - | - |

## Methodology

- Updates: Aggregated every hour. Days and weeks use UTC.
- Tokens: Input, output, reasoning, and cached tokens for each request.
- Users and sessions: Approximate counts of distinct users and OpenCode sessions.
- Cost: Session cost is the average cost per OpenCode session. Token prices are list prices from the OpenCode model catalog.
- Retention: The share of a model's users in one week who use it again the next week.
- Citation: Cite OpenCode Data (opencode.ai/data) with the update time shown at the top of the page.