Model comparison
Coder Large vs Virtuoso Large
Compare Coder Large and Virtuoso Large: input/output $/Mtoken, context window, modalities, and license. OpenRouter-synced pricing.
Arcee Ai
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 suppor
Arcee Ai
Virtuoso Large
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 re
| Metric | Coder Large | Virtuoso Large |
|---|---|---|
| Provider | Arcee Ai | Arcee Ai |
| Context window | 32,768 | 131,072 |
| Input $/Mtok | $0.500 | $0.750 |
| Output $/Mtok | $0.800 | $1.20 |
| Modalities | text | text |
| License | closed | closed |
Quick take
On input price, Coder Large is cheaper at $0.500/Mtok. For context window, Virtuoso Large leads with 131,072 tokens.
Pick based on your workload: high-volume cheap inference vs long-document / agent loops. Enterprise DNA can wire either model into Omni with evals, secrets, and job orchestration.