DeepSeek V4
DeepSeek's MIT-licensed frontier-class LLM with 1M-token context
Overview
DeepSeek V4 is the 2026 model generation from DeepSeek, shipped as V4-Pro (1.6T total / 49B active) and V4-Flash (284B / 13B active), both with one-million-token context and released under the MIT license. It targets long-context reasoning, coding and agentic workflows, and is available via the DeepSeek API and as open weights on Hugging Face. Pricing is aggressively low versus Western frontier models.
Pricing
Pricing shown for reference only. These figures reflect RECATOOLS research as of 4 Jun 2026 and may be out of date or incomplete. This is not financial or purchasing advice — always confirm the current price on the provider’s official website before making any decision.
ASEAN Perspective
DeepSeek V4 in Southeast Asia
ASEAN-region availability and pricing notes coming soon. Drop the editorial team a note via /contact/ if you can supply local context (Singapore/Malaysia/Indonesia/Thailand/Vietnam).
DeepSeek V4 continues the lab's pattern of near-frontier capability at a fraction of the price, now with a full 1M context and a permissive MIT license that makes self-hosting and commercial use straightforward. It is one of the strongest open-weights options for reasoning and coding in 2026.
The low API pricing and open weights are very ASEAN-friendly for cost-sensitive teams; the usual data-governance considerations around a China-based API apply, mitigated by the self-host route.
About this listing
This entry was compiled from publicly available data including DeepSeek V4's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with DeepSeek V4 unless explicitly stated.
Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.
For the latest details, please refer to DeepSeek V4 directly →
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