meta-llama/Llama-4-Scout-17B-16E-Instruct vs Qwen: Qwen3.5-9B
They cost about the same for input tokens: meta-llama/Llama-4-Scout-17B-16E-Instruct $0.10 per M, Qwen: Qwen3.5-9B $0.10 per M. Qwen: Qwen3.5-9B is 2× cheaper for output tokens: meta-llama/Llama-4-Scout-17B-16E-Instruct costs $0.30 per M and Qwen: Qwen3.5-9B costs $0.15 per M. meta-llama/Llama-4-Scout-17B-16E-Instruct reads more: meta-llama/Llama-4-Scout-17B-16E-Instruct takes up to 327,680 tokens of context and Qwen: Qwen3.5-9B up to 262,144. meta-llama/Llama-4-Scout-17B-16E-Instruct accepts image, text; Qwen: Qwen3.5-9B accepts image, text, video.
| meta-llama/Llama-4-Scout-17B-16E-Instruct | Qwen: Qwen3.5-9B | |
|---|---|---|
| Model id | meta-llama/Llama-4-Scout-17B-16E-Instruct | qwen/qwen3.5-9b |
| Input | $0.10 per M | $0.10 per M |
| Output | $0.30 per M | $0.15 per M |
| Context length | 327,680 tokens | 262,144 tokens |
| Accepts | image, text | image, text, video |
| Produces | text | text |
| Served by | deepinfra | alibaba |
Prices are the providers' list prices per million tokens, as of . Both run on your own provider key through one OpenAI-compatible endpoint, with no fee on the tokens.