DeepSeek-V4-Pro-Max by DeepSeek scores 73.2 out of 100 on the Neura Intelligence Index, ranking #51 among tracked AI models. This composite score is computed from 8 individual benchmarks across coding, math, reasoning, and language categories.

DeepSeek-V4-Pro-Max costs $1.6/1M input tokens and $3.2/1M output tokens via API. At a typical 3:1 input-to-output ratio with 1M tokens/day usage, the estimated monthly cost is approximately $60.

Yes, DeepSeek-V4-Pro-Max has open weights available under the mit license. You can download and self-host the model.

DeepSeek-V4-Pro-Max supports a context window of 1.0 million tokens, allowing it to process very long documents, codebases, and conversations in a single request.

DeepSeek-V4-Pro-Max achieves its highest score on GPQA Diamond with a score of 90.1%. This benchmark evaluates 448 graduate-level science questions (biology, chemistry, physics) designed to be hard for non-experts.