Arcee-ai model
Trinity Large Thinking API cost calculator
Trinity Large Thinking costs $0.22 per 1M input tokens and $0.85 per 1M output tokens on the Arcee-ai API, with a 262K-token context window. A typical request (2K input, 500 output tokens) costs $0.0009 — about $25.95/month at 1,000 requests per day. Use the calculator below to model your exact workload.
Find me a cheaper modelWhat real workloads cost on Trinity Large Thinking
| Workload | Tokens (in / out) | Per request | Per 1K requests |
|---|---|---|---|
| Chatbot message | 500 / 300 | $0.0004 | $0.36 |
| RAG query with context | 4,000 / 500 | $0.0013 | $1.30 |
| Document summarization | 20,000 / 1,000 | $0.0053 | $5.25 |
| Agent coding session | 100,000 / 5,000 | $0.03 | $26.25 |
Trinity Large Thinking vs other Arcee-ai models
| Model | Input /1M | Output /1M | Context |
|---|---|---|---|
| Trinity Large Thinking | $0.22 | $0.85 | 262K |
| Virtuoso Large | $0.75 | $1.20 | 131K |
Frequently asked questions
How much does Trinity Large Thinking cost per 1M tokens?
According to current pricing data, Trinity Large Thinking costs $0.22 per 1M input tokens and $0.85 per 1M output tokens. Processing 1M tokens each way costs $1.07.
What does a typical API request to Trinity Large Thinking cost?
A typical request with 2,000 input tokens and 500 output tokens costs $0.0009. At 1,000 requests per day that is $0.86 daily, or about $25.95 per month.
What is Trinity Large Thinking's context window?
Trinity Large Thinking supports a 262K-token context window (262,144 tokens).
Does Trinity Large Thinking support prompt caching?
Yes. Cached input tokens cost $0.06 per 1M — a 73% discount versus the standard input rate, which matters for agents and chat apps that resend the same system prompt.
What is a cheaper alternative to Trinity Large Thinking?
Ling-2.6-flash from Inclusionai is currently the cheapest comparable option at $0.01 per 1M input tokens versus $0.22 for Trinity Large Thinking — roughly 22x cheaper on input.
Compare all current prices on the live model pricing dashboard, see Trinity Large Thinking vs Ling-2.6-flash pricing, or run Trinity Large Thinking head-to-head against other models in the side-by-side comparison playground.
Pricing data via the OpenRouter models API.