Qwen/Qwen3-235B-A22B-Instruct-2507 vs meta-llama/Llama-4-Scout-17B-16E-Instruct
Qwen/Qwen3-235B-A22B-Instruct-2507 is 1.1× cheaper for input tokens: Qwen/Qwen3-235B-A22B-Instruct-2507 costs $0.09 per M and meta-llama/Llama-4-Scout-17B-16E-Instruct costs $0.10 per M. meta-llama/Llama-4-Scout-17B-16E-Instruct is 1.8× cheaper for output tokens: Qwen/Qwen3-235B-A22B-Instruct-2507 costs $0.55 per M and meta-llama/Llama-4-Scout-17B-16E-Instruct costs $0.30 per M. meta-llama/Llama-4-Scout-17B-16E-Instruct reads more: Qwen/Qwen3-235B-A22B-Instruct-2507 takes up to 262,144 tokens of context and meta-llama/Llama-4-Scout-17B-16E-Instruct up to 327,680. Qwen/Qwen3-235B-A22B-Instruct-2507 accepts text; meta-llama/Llama-4-Scout-17B-16E-Instruct accepts image, text.
| Qwen/Qwen3-235B-A22B-Instruct-2507 | meta-llama/Llama-4-Scout-17B-16E-Instruct | |
|---|---|---|
| Model id | Qwen/Qwen3-235B-A22B-Instruct-2507 | meta-llama/Llama-4-Scout-17B-16E-Instruct |
| Input | $0.09 per M | $0.10 per M |
| Output | $0.55 per M | $0.30 per M |
| Context length | 262,144 tokens | 327,680 tokens |
| Accepts | text | image, text |
| Produces | text | text |
| Served by | deepinfra | deepinfra |
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.