Arcee-ai model
Virtuoso Large API cost calculator
Virtuoso Large costs $0.75 per 1M input tokens and $1.20 per 1M output tokens on the Arcee-ai API, with a 131K-token context window. A typical request (2K input, 500 output tokens) costs $0.0021 — about $63.00/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 Virtuoso Large
| Workload | Tokens (in / out) | Per request | Per 1K requests |
|---|---|---|---|
| Chatbot message | 500 / 300 | $0.0007 | $0.73 |
| RAG query with context | 4,000 / 500 | $0.0036 | $3.60 |
| Document summarization | 20,000 / 1,000 | $0.02 | $16.20 |
| Agent coding session | 100,000 / 5,000 | $0.08 | $81.00 |
Virtuoso Large vs other Arcee-ai models
| Model | Input /1M | Output /1M | Context |
|---|---|---|---|
| Virtuoso Large | $0.75 | $1.20 | 131K |
| Trinity Large Thinking | $0.22 | $0.85 | 262K |
Frequently asked questions
How much does Virtuoso Large cost per 1M tokens?
According to current pricing data, Virtuoso Large costs $0.75 per 1M input tokens and $1.20 per 1M output tokens. Processing 1M tokens each way costs $1.95.
What does a typical API request to Virtuoso Large cost?
A typical request with 2,000 input tokens and 500 output tokens costs $0.0021. At 1,000 requests per day that is $2.10 daily, or about $63.00 per month.
What is Virtuoso Large's context window?
Virtuoso Large supports a 131K-token context window (131,072 tokens).
Does Virtuoso Large support prompt caching?
No cache-read pricing is published for Virtuoso Large, so every input token is billed at the full $0.75 per 1M rate.
What is a cheaper alternative to Virtuoso Large?
Ling-2.6-flash from Inclusionai is currently the cheapest comparable option at $0.01 per 1M input tokens versus $0.75 for Virtuoso Large — roughly 75x cheaper on input.
Compare all current prices on the live model pricing dashboard, see Virtuoso Large vs Ling-2.6-flash pricing, or run Virtuoso Large head-to-head against other models in the side-by-side comparison playground.
Pricing data via the OpenRouter models API.