Model comparison
Coder Large vs Trinity Large Thinking
Compare Coder Large and Trinity Large Thinking: 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
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. Launc
| Metric | Coder Large | Trinity Large Thinking |
|---|---|---|
| Provider | Arcee Ai | Arcee Ai |
| Context window | 32,768 | 262,144 |
| Input $/Mtok | $0.500 | $0.250 |
| Output $/Mtok | $0.800 | $0.800 |
| Modalities | text | text |
| License | closed | open-weights |
Quick take
On input price, Trinity Large Thinking is cheaper at $0.250/Mtok. For context window, Trinity Large Thinking leads with 262,144 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.