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 inherited from Qwen 2.5, letting it …
Model details →Arcee AI: Virtuoso Large vs Mistral Large
Arcee AI: Virtuoso Large wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
This is Mistral AI's flagship model, Mistral Large 2 (version `mistral-large-2407`). It's a proprietary weights-available model and excels at reasoning, code, JSON, chat, and more. Read the launch announcement [here](https://mistral.ai/news…
Model details →Side-by-side comparison
| Capability | Arcee AI: Virtuoso Large | Mistral Large | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 131K | 128K | 🏆 Arcee AI: Virtuoso Large |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.75 | $2.00 | 🏆 Arcee AI: Virtuoso Large |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $1.20 | $6.00 | 🏆 Arcee AI: Virtuoso Large |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | — | — | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | — | — | Tie |
Frequently asked questions
Is Arcee AI: Virtuoso Large better than Mistral Large?
Arcee AI: Virtuoso Large wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Arcee AI: Virtuoso Large and Mistral Large?
Input: $0.75 vs $2.00 per 1M tokens. Output: $1.20 vs $6.00 per 1M tokens.
What context windows do Arcee AI: Virtuoso Large and Mistral Large support?
Arcee AI: Virtuoso Large supports up to 131K tokens. Mistral Large supports up to 128K tokens.
Do both Arcee AI: Virtuoso Large and Mistral Large support tool calling?
Arcee AI: Virtuoso Large: yes. Mistral Large: yes.