meta-llama/Llama-3.3-70B-Instruct-Turbo vs Qwen: Qwen3.6 35B A3B
They cost about the same for input tokens: meta-llama/Llama-3.3-70B-Instruct-Turbo $0.10 per M, Qwen: Qwen3.6 35B A3B $0.10 per M. meta-llama/Llama-3.3-70B-Instruct-Turbo is 2.8× cheaper for output tokens: meta-llama/Llama-3.3-70B-Instruct-Turbo costs $0.32 per M and Qwen: Qwen3.6 35B A3B costs $0.90 per M. Qwen: Qwen3.6 35B A3B reads more: meta-llama/Llama-3.3-70B-Instruct-Turbo takes up to 131,072 tokens of context and Qwen: Qwen3.6 35B A3B up to 262,144. meta-llama/Llama-3.3-70B-Instruct-Turbo accepts text; Qwen: Qwen3.6 35B A3B accepts image, text, video.
| meta-llama/Llama-3.3-70B-Instruct-Turbo | Qwen: Qwen3.6 35B A3B | |
|---|---|---|
| Model id | meta-llama/Llama-3.3-70B-Instruct-Turbo | qwen/qwen3.6-35b-a3b |
| Input | $0.10 per M | $0.10 per M |
| Output | $0.32 per M | $0.90 per M |
| Context length | 131,072 tokens | 262,144 tokens |
| Accepts | 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.