QwQ 32B vs Llama-4-Maverick-17B-128E-Instruct-FP8
QwQ 32B is cheaper on output tokens, while QwQ 32B offers a larger context window. Choose QwQ 32B or Llama-4-Maverick-17B-128E-Instruct-FP8 based on the trade-off between cost, context, and the benchmarks that matter for your use case.
| Spec | QwQ 32B | Llama-4-Maverick-17B-128E-Instruct-FP8 |
|---|---|---|
| Provider | Alibaba (China) | Vercel AI Gateway |
| Input / 1M tokens | $0.29 | $0.24 |
| Output / 1M tokens | $0.86 | $0.97 |
| Context window | 131K | 128K |
| Parameters | 33B | — |
| Open weights | Yes | Yes |
| Released | Dec 2024 | Apr 2025 |
| Aider Polyglot score | 20.9 | — |
| LMArena (Chatbot Arena) Elo score | 1329 | — |
| GPQA Diamond score | 65.3 | 67.0 |
| Epoch Capabilities Index score | 138 | — |
| FrontierMath score | — | 0.7 |
FAQ
Is QwQ 32B or Llama-4-Maverick-17B-128E-Instruct-FP8 cheaper?
QwQ 32B is cheaper on output tokens ($0.86 vs $0.97 per 1M).
Which has the larger context window, QwQ 32B or Llama-4-Maverick-17B-128E-Instruct-FP8?
QwQ 32B has the larger context window (131K tokens).
Pricing is indicative — confirm with the provider before production use. Highlighted values indicate the better figure for that row.