DeepSeek: DeepSeek Flash Latest

DeepSeek Flash Latest is a text generation model from DeepSeek, published under the model id ~deepseek/deepseek-flash-latest. The name reflects how the endpoint behaves: rather than pointing at one frozen snapshot, it always redirects to the latest model in the DeepSeek Flash family. That means the underlying model can change over time as DeepSeek updates the family, while the id you call stays the same. It is a text model in the main sense, with image input supported alongside text.

On the input side the model accepts text and images, and it produces text only. The context window is 1,048,576 tokens, which is large enough to hold very long documents, whole codebases or extended conversation histories in a single request. The maximum output is 943,718 tokens, so long generations are possible within that window. Because images can be supplied as input, the model can work with mixed content where a prompt combines written instructions and visual material, though the response itself is always text.

The practical uses follow from that combination. A large context window suits tasks such as summarising or querying long reports, contracts, logs or books without chunking them first. Image input makes it usable for describing or extracting information from screenshots, diagrams, charts and scanned pages, with the answer returned as text. The output ceiling supports long-form writing, bulk extraction and code generation where the result is itself lengthy. Tool calling and structured outputs make it a reasonable fit for agent style workflows and for pipelines that need machine readable responses rather than free prose.

You call it through api14's OpenAI-compatible API using the model id ~deepseek/deepseek-flash-latest, so existing OpenAI client libraries work with only the base URL and key changed. The request parameters it supports include temperature, top_p, top_k, min_p, frequency_penalty, presence_penalty and repetition_penalty for sampling control, plus max_tokens, stop, seed, logit_bias, logprobs and top_logprobs. It also supports response_format, structured_outputs, tools and tool_choice for structured and tool based work, and reasoning, reasoning_effort and include_reasoning for controlling reasoning behaviour.

One thing to keep in mind is that the redirect behaviour means results can shift when DeepSeek updates the family, so if you need a fixed snapshot for reproducibility, a pinned model may suit you better. The model outputs text only, so tasks requiring generated images, audio or video fall outside it. Within those bounds it is a straightforward choice for long context text work that occasionally needs to read an image.