Llama 4 Scout 17B 16E Instruct vs DeepSeek V3.2
Llama 4 Scout 17B 16E Instruct is cheaper on output tokens, while DeepSeek V3.2 offers a larger context window. Choose Llama 4 Scout 17B 16E Instruct or DeepSeek V3.2 based on the trade-off between cost, context, and the benchmarks that matter for your use case.
| Spec | Llama 4 Scout 17B 16E Instruct | DeepSeek V3.2 |
|---|---|---|
| Provider | Azure | DeepSeek |
| Input / 1M tokens | $0.20 | $0.26 |
| Output / 1M tokens | $0.78 | $0.80 |
| Context window | 128K | 164K |
| Parameters | — | — |
| Open weights | Yes | — |
| Released | Apr 2025 | — |
| LMArena (Chatbot Arena) Elo score | 1279 | 1424 |
| LMArena Vision Elo score | 1118 | — |
| GPQA Diamond score | 51.8 | — |
| FrontierMath score | 0.0 | — |
| LiveBench score | — | 63.1 |
| SWE-bench Verified score | — | 70.0 |
| Aider Polyglot score | — | 74.2 |
| SWE-bench Multilingual score | — | 59.0 |
| LMArena WebDev Elo score | — | 1362 |
| Epoch Capabilities Index score | — | 146 |
FAQ
Is Llama 4 Scout 17B 16E Instruct or DeepSeek V3.2 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 DeepSeek V3.2?
DeepSeek V3.2 has the larger context window (164K tokens).
Pricing is indicative — confirm with the provider before production use. Highlighted values indicate the better figure for that row.