Trinity Large Thinking vs Llama 4 Scout 17B 16E Instruct
Llama 4 Scout 17B 16E Instruct is cheaper on output tokens, while Trinity Large Thinking offers a larger context window. Choose Trinity Large Thinking or Llama 4 Scout 17B 16E Instruct based on the trade-off between cost, context, and the benchmarks that matter for your use case.
| Spec | Trinity Large Thinking | Llama 4 Scout 17B 16E Instruct |
|---|---|---|
| Provider | Arcee AI | Azure |
| Input / 1M tokens | $0.25 | $0.20 |
| Output / 1M tokens | $0.80 | $0.78 |
| Context window | 262K | 128K |
| Parameters | — | — |
| Open weights | — | Yes |
| Released | — | Apr 2025 |
| LMArena (Chatbot Arena) Elo score | 1340 | 1279 |
| LMArena WebDev Elo score | 1238 | — |
| LMArena Vision Elo score | — | 1118 |
| GPQA Diamond score | — | 51.8 |
| FrontierMath score | — | 0.0 |
FAQ
Is Trinity Large Thinking or Llama 4 Scout 17B 16E Instruct cheaper?
Llama 4 Scout 17B 16E Instruct is cheaper on output tokens ($0.78 vs $0.80 per 1M).
Which has the larger context window, Trinity Large Thinking or Llama 4 Scout 17B 16E Instruct?
Trinity Large Thinking has the larger context window (262K tokens).
Pricing is indicative — confirm with the provider before production use. Highlighted values indicate the better figure for that row.