DeepSeek-V4-Flash-0731 by DeepSeek scores 94.1 out of 100 on the Neura Intelligence Index, ranking #7 among tracked AI models. This composite score is computed from 1 individual benchmarks across coding, math, reasoning, and language categories.

DeepSeek-V4-Flash-0731 costs $0.09/1M input tokens and $0.18/1M output tokens via API. At a typical 3:1 input-to-output ratio with 1M tokens/day usage, the estimated monthly cost is approximately $3.

Yes, DeepSeek-V4-Flash-0731 has open weights available under the mit license. You can download and self-host the model.

DeepSeek-V4-Flash-0731 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-Flash-0731 achieves its highest score on Toolathlon with a score of 70.3%. This benchmark evaluates multi-tool orchestration — using multiple tools to solve complex tasks.