BETA
DeepSeek's code-tuned MoE. Strong on competitive coding benchmarks; the open-weights answer to early Codestral.
DeepSeek-Coder-V2 is a efficient AI model from DeepSeek. It costs $0.140 per million input tokens and $0.280 per million output tokens (blended $0.182/M), with a 128K-token context window.
DeepSeek-Coder-V2 costs $0.140 per million input tokens and $0.280 per million output tokens, for a blended reference rate of $0.182 per million tokens.
DeepSeek-Coder-V2 supports up to 128K tokens of context (128,000 tokens).
DeepSeek-Coder-V2 is well suited to Code-tuned MoE, Open weights and 128K context.
DeepSeek-Coder-V2 is developed and served by DeepSeek. It was released in Jun 2024.