Llama 4 Scout 17B 16E Instruct vs Ornith 1.5 122B
Llama 4 Scout 17B 16E Instruct is cheaper on output tokens, while Ornith 1.5 122B offers a larger context window. Choose Llama 4 Scout 17B 16E Instruct or Ornith 1.5 122B based on the trade-off between cost, context, and the benchmarks that matter for your use case.
| Spec | Llama 4 Scout 17B 16E Instruct | Ornith 1.5 122B |
|---|---|---|
| Provider | Azure | NanoGPT |
| Input / 1M tokens | $0.20 | $0.20 |
| Output / 1M tokens | $0.78 | $0.80 |
| Context window | 128K | 262K |
| Parameters | — | — |
| Open weights | Yes | Yes |
| Released | Apr 2025 | Oct 2026 |
| GPQA Diamond score | 51.8 | — |
| LMArena (Chatbot Arena) Elo score | 1279 | — |
| FrontierMath score | 0.0 | — |
| LMArena Vision Elo score | 1118 | — |
FAQ
Is Llama 4 Scout 17B 16E Instruct or Ornith 1.5 122B 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, Llama 4 Scout 17B 16E Instruct or Ornith 1.5 122B?
Ornith 1.5 122B 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.