DeepSeek R1 Turbo vs meta-llama/Meta-Llama-3.3-70B-Instruct
meta-llama/Meta-Llama-3.3-70B-Instruct is 1.2× cheaper for input tokens: DeepSeek R1 Turbo costs $0.70 per M and meta-llama/Meta-Llama-3.3-70B-Instruct costs $0.60 per M. meta-llama/Meta-Llama-3.3-70B-Instruct is 2.1× cheaper for output tokens: DeepSeek R1 Turbo costs $2.50 per M and meta-llama/Meta-Llama-3.3-70B-Instruct costs $1.20 per M. meta-llama/Meta-Llama-3.3-70B-Instruct reads more: DeepSeek R1 Turbo takes up to 64,000 tokens of context and meta-llama/Meta-Llama-3.3-70B-Instruct up to 131,072.
| DeepSeek R1 Turbo | meta-llama/Meta-Llama-3.3-70B-Instruct | |
|---|---|---|
| Model id | deepseek/deepseek-r1-turbo | meta-llama/Meta-Llama-3.3-70B-Instruct |
| Input | $0.70 per M | $0.60 per M |
| Output | $2.50 per M | $1.20 per M |
| Context length | 64,000 tokens | 131,072 tokens |
| Accepts | text | text |
| Produces | text | text |
| Served by | novita | sambanova |
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.