DeepSeek V4 Flash (RanoAI)

DeepSeek V4 Flash (RanoAI) is listed as a text-to-text model attributed to the RanoAI provider, with an open-weights flag and a long context window suitable for processing large documents or extended conversations. The model is positioned within the deepseek-flash family according to catalog metadata, suggesting it is part of a lineage of lightweight DeepSeek-derived endpoints. No official DeepSeek release notes, technical report, or model card was supplied to confirm the architectural lineage, parameter count, or training methodology behind this specific variant.

Practically, the model offers a very large context capacity that makes it well-suited for tasks requiring broad document analysis or multi-turn workflows where extended memory is valuable. The open-weights designation indicates that the model can potentially be self-hosted or fine-tuned by downstream users, which broadens its appeal for teams seeking customizable long-context text generation. However, no benchmark results, evaluation scores, or comparative performance data were available in the supplied evidence, so specific qualitative strengths relative to other long-context models cannot be substantiated.

LLM Gatewayranoai/deepseek-v4-flashdeepseek-flash

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Quick Info

Provider: LLM Gateway
Model key: ranoai/deepseek-v4-flash
Release date: Apr 24, 2026
Last updated: Apr 24, 2026
Knowledge cutoff: 2025-05
Input modalities
Output modalities
Capabilities

Cost

Input token cost: $0.14
Output token cost: $0.28

Limits

Output tokens: 393,216 tokens
Context window: 1,000,000 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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Latest news about DeepSeek V4 Flash (RanoAI)

LLM Gateway

Coverage

PremAI's enterprise-focused analysis covers DeepSeek V4 Flash 0731, released on July 31, 2026, as the official update following an earlier preview version. The piece confirms the same architecture and model size as the preview, with performance gains delivered through post-training improvements aimed at reasoning, codi The article highlights enterprise distribution signals, noting that Microsoft has added DeepSeek V4 Flash and V4 Pro to Microsoft Foundry, suggesting a broader shift toward matching different models to different workloads rather than relying on a single "best" model. PremAI frames the release as evidence that open-weig

LLM Gateway

CoverageBenchmark

DeepSeek published DeepSeek-V4-Flash-0731 on July 31, 2026, moving the official V4-Flash API into public beta the same day. According to the Better Stack community guide, the release is a re-post-training update over the April preview rather than a new architecture, with improvements targeting coding, agents, reasoning At launch, Better Stack reports DeepSeek priced V4 Flash at $0.14 per million input tokens on a cache miss, $0.0028 per million on a cache hit, and $0.28 per million output tokens, framing the move as a pointed response to OpenAI's GPT-5.6 Luna price cut the prior day. The article positions V4 Flash as occupying a "gen