DeepSeek-V4.1-Flash: Model Overview & Integration

DeepInfra’s overview introduces DeepSeek-V4.1-Flash, a multimodal Mixture-of-Experts model with a 552-billion-parameter backbone, text and image inputs, text outputs, and a native context window of 1,048,576 tokens. Its Causal Encoder-Decoder architecture activates 8 billion parameters during prompt prefill and 16 billion during decoding, while Compressed Sparse Attention 2 and bounded replay are presented as reducing KV-cache memory use to 890 bytes per token. The model also offers adjustable reasoning effort from 1 to 100, allowing users to trade speed and cost against reasoning depth. Internal benchmark results indicate strengths in coding, mathematics, automation, and selected agent evaluations, though it trails competing models on some difficult terminal, general-question-answering, and factual benchmarks, and results can vary with the evaluation scaffold. DeepInfra serves the model through an OpenAI-compatible API with function calling, JSON output, streaming, image-message support, and standard, priority, and flex service tiers. Standard pricing is listed at $0.20 per million input tokens, $0.60 per million output tokens, and $0.006 per million cached input tokens, with a typical output cap of 16,384 tokens despite the much larger total context capacity.

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