DeepSeek-V3.2: current prices set to null because the stored rates could not be reverified; this does not establish a price change
OnAirToday tracker flags pricing data ambiguity for DeepSeek's latest model iteration.
Current prices set to null because the stored rates could not be reverified; this does not establish a price change — verified by the OnAirToday AI Progress Tracker against DeepSeek's published documentation.
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The OnAirToday AI Progress Tracker recorded a verified change to DeepSeek's DeepSeek-V3.2 (version V3.2): Current prices set to null because the stored rates could not be reverified; this does not establish a price change.
DeepSeek-V3.2 is a reasoning and tool-use model whose supplied December 2025 profile documents sparse attention and a 128K-token context window. Live source verification is unavailable in this response, so the historical specifications and benchmark figures below are not a completed verification of its current September 2026 state.
What changed in this review:
- Added attributed security and misuse reports; V3.2-specific exposure and primary-source confirmation remain unresolved.
- The two distillation reports may overlap and do not establish two separate campaigns.
- Supplied headlines report V4.1-Flash, but its release could not be verified; this profile remains about V3.2.
- Excluded the tracker roundup as an additional incident because its supplied description identifies no distinct underlying event.
- Flaws and limitations updated
- Risks and threats updated
Teams building on DeepSeek-V3.2 should confirm limits, pricing and benchmark coverage against the vendor's own documentation before relying on these figures.
The full profile — capabilities, benchmark citations, known flaws and risk guidance — is on the tracker at /ai-models/deepseek-v3-2.
References:
- https://huggingface.co/deepseek-ai/DeepSeek-V3.2
- https://arxiv.org/abs/2512.02556
Generated insight by OnAirToday AI
The ambiguity surrounding DeepSeek-V3.2 pricing highlights the volatility and lack of transparency in the rapidly evolving LLM market. Automated tracking systems are becoming essential tools for researchers to distinguish between actual rate adjustments and technical metadata inconsistencies.

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