Virtuoso Large
Arcee AIReleased May 5, 2025
Virtuoso‑Large is Arcee's top‑tier general‑purpose LLM at 72 B parameters, tuned to tackle cross‑domain reasoning, creative writing and enterprise QA. Unlike many 70 B peers, it retains the 128 k...
- Context window
- 131K tokens
- Max output
- 64K tokens
- Input
- text
- Output
- text
- Tokenizer
- Other
- Knowledge cutoff
- Mar 31, 2025
- Released
- May 5, 2025
Pricing
Per 1M tokens. The provider price and our flat 3% fee are separate columns — what you pay is their sum.
| Per 1M tokens | Provider | + 3% fee | You pay |
|---|---|---|---|
| Input | $0.750 | $0.022 | $0.772 |
| Output | $1.20 | $0.036 | $1.24 |
Supported parameters
- frequency_penalty
- logit_bias
- max_tokens
- min_p
- presence_penalty
- repetition_penalty
- stop
- temperature
- tool_choice
- tools
- top_k
- top_p
Call it
OpenAI-compatible: point your SDK at api.openkey.ai/v1 and use model arcee-ai/virtuoso-large.
curl https://api.openkey.ai/v1/chat/completions \
-H "Authorization: Bearer $OPENKEY_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "arcee-ai/virtuoso-large",
"messages": [{"role": "user", "content": "Hello"}]
}'import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.openkey.ai/v1",
api_key=os.environ["OPENKEY_API_KEY"],
)
completion = client.chat.completions.create(
model="arcee-ai/virtuoso-large",
messages=[{"role": "user", "content": "Hello"}],
)
print(completion.choices[0].message.content)import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api.openkey.ai/v1",
apiKey: process.env.OPENKEY_API_KEY,
});
const completion = await client.chat.completions.create({
model: "arcee-ai/virtuoso-large",
messages: [{ role: "user", content: "Hello" }],
});
console.log(completion.choices[0].message.content);Questions
- How much does Virtuoso Large cost via API?
- Through OpenKey, Virtuoso Large costs $0.772 per 1M input tokens and $1.24 per 1M output tokens. That is the provider price ($0.750 / $1.20) plus a flat 3% fee — nothing else.
- What is Virtuoso Large's context window?
- Virtuoso Large accepts up to 131K tokens of context and returns up to 64K tokens per request.
- Is Virtuoso Large OpenAI-compatible?
- Yes. Send requests to OpenKey's /v1/chat/completions endpoint with model "arcee-ai/virtuoso-large" using any OpenAI SDK — only the base URL and API key change.
- What inputs does Virtuoso Large support?
- Virtuoso Large accepts text input and produces text output. Its knowledge cutoff is Mar 31, 2025.
More from Arcee AI
All Arcee AI models →Trinity Large Thinking
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...
ctx 262Kin $0.258out $0.824
Trinity Mini
Trinity Mini is a 26B-parameter (3B active) sparse mixture-of-experts language model featuring 128 experts with 8 active per token. Engineered for efficient reasoning over long contexts (131k) with robust function...
ctx 131Kin $0.046out $0.154
Coder Large
Coder‑Large is a 32 B‑parameter offspring of Qwen 2.5‑Instruct that has been further trained on permissively‑licensed GitHub, CodeSearchNet and synthetic bug‑fix corpora. It supports a 32k context window, enabling multi‑file...
ctx 33Kin $0.515out $0.824