DeepSeek V3 Turbo vs meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo
They cost about the same for input tokens: DeepSeek V3 Turbo $0.40 per M, meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo $0.40 per M. meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo is 3.3× cheaper for output tokens: DeepSeek V3 Turbo costs $1.30 per M and meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo costs $0.40 per M. meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo reads more: DeepSeek V3 Turbo takes up to 64,000 tokens of context and meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo up to 131,072.
| DeepSeek V3 Turbo | meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo | |
|---|---|---|
| Model id | deepseek/deepseek-v3-turbo | meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo |
| Input | $0.40 per M | $0.40 per M |
| Output | $1.30 per M | $0.40 per M |
| Context length | 64,000 tokens | 131,072 tokens |
| Accepts | text | text |
| Produces | text | text |
| Served by | novita | 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.