DeepSeek-V4-Flash-0423 by DeepSeek scores 54.9 out of 100 on the Neura Intelligence Index, ranking #158 among tracked AI models. This composite score is computed from 8 individual benchmarks across coding, math, reasoning, and language categories.

DeepSeek-V4-Flash-0423 costs $0.1/1M input tokens and $0.2/1M output tokens via API. At a typical 3:1 input-to-output ratio with 1M tokens/day usage, the estimated monthly cost is approximately $4.

Yes, DeepSeek-V4-Flash-0423 has open weights available under the mit license. You can download and self-host the model.

DeepSeek-V4-Flash-0423 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-0423 achieves its highest score on GPQA Diamond with a score of 87.4%. This benchmark evaluates 448 graduate-level science questions (biology, chemistry, physics) designed to be hard for non-experts.