deepseek-ai/DeepSeek-V3 vs meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo
deepseek-ai/DeepSeek-V3 is 1.3× cheaper for input tokens: deepseek-ai/DeepSeek-V3 costs $0.32 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 is 2.2× cheaper for output tokens: deepseek-ai/DeepSeek-V3 costs $0.89 per M and meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo costs $0.40 per M. deepseek-ai/DeepSeek-V3 reads more: deepseek-ai/DeepSeek-V3 takes up to 163,840 tokens of context and meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo up to 131,072.
| deepseek-ai/DeepSeek-V3 | meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo | |
|---|---|---|
| Model id | deepseek-ai/DeepSeek-V3 | meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo |
| Input | $0.32 per M | $0.40 per M |
| Output | $0.89 per M | $0.40 per M |
| Context length | 163,840 tokens | 131,072 tokens |
| Accepts | text | 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.