DeepSeek-V3.2
v20251201DeepSeek
DeepSeek's ~685B-parameter MoE flagship with DeepSeek Sparse Attention (DSA) for dramatically cheaper long-context inference. The V3.2-Speciale variant reached IMO 2025 gold-medal level (35/42) and 96.0% AIME. MIT-licensed open weights; the dominant open model through early 2026 until superseded by DeepSeek-V4.
Trust Vector Analysis
Dimension Breakdown
🚀Performance & Reliability+
Frontier-level reasoning for an open model: V3.2-Speciale hit IMO 2025 gold-medal level and 2nd at ICPC World Finals. DSA makes 128K-context workloads unusually cheap. Speciale's dedicated API endpoint was temporary, but its weights remain open.
Industry-standard coding benchmarks and competitive programming results from the official release and technical report
Olympiad-level mathematics and competition benchmarks (IMO, AIME, ICPC) reported at release and corroborated by the technical report
Comprehensive knowledge and instruction-following benchmark review from the technical report and community leaderboards
Repeated-prompt testing across temperature settings and context lengths, supplemented by community reports
Median latency for API requests with standard prompt sizes from independent benchmarking
95th percentile response time across diverse workloads from independent benchmarking
Official specification from provider
Historical uptime data from the official status page plus availability of multiple third-party hosts
🛡️Security+
Adequate default guardrails. As with all open-weight models, safety properties only hold for unmodified weights; self-hosting shifts security responsibility to the deployer.
Testing against OWASP LLM01 prompt injection attack patterns and community red-team reports
Testing against adversarial prompt datasets; assessment accounts for open-weight modifiability
Analysis of privacy policy for the hosted API plus the self-hosting option for full data isolation
Safety testing across harmful content categories on default weights
Review of API security features and transport guarantees
🔒Privacy & Compliance+
Standard open-model split: the first-party API is China-hosted with China-jurisdiction data residency, while self-hosting or Western third-party hosts (which most regulated enterprises use) avoid that concern entirely.
Review of privacy policy and hosting options; China-jurisdiction caveat applies only to the first-party API
Analysis of privacy policy and data usage terms for the hosted API
Review of terms of service; retention is deployment-dependent for open-weight models
Review of data protection capabilities and customer responsibilities
Verification of certifications for the first-party platform; third-party hosted options inherit their providers' certifications
Review of data handling across first-party API, third-party hosts, and self-hosting
👁️Trust & Transparency+
Strong architectural transparency (open weights, detailed DSA technical report, visible reasoning traces) offset by limited training-data disclosure and known topic-avoidance on politically sensitive subjects.
Evaluation of reasoning transparency and trace accessibility
Testing on factual QA datasets and community evaluations
Evaluation on bias benchmarks and politically sensitive topic probes
Qualitative assessment of confidence expression in outputs
Review of technical report and model card completeness
Review of public disclosures about training data
Analysis of built-in safety mechanisms in default weights
⚙️Operational Excellence+
Mature ecosystem with broad third-party hosting. Main operational caveat is DeepSeek's rapid release cadence: V3.2 supersedes V3.1/V3-0324 and the standalone R1 line, and was itself superseded by V4 in April 2026.
Review of API design, consistency, and feature completeness
Review of SDK compatibility and inference-framework support
Review of versioning practices and historical endpoint lifecycle
Review of monitoring tools across deployment options
Assessment of documentation, community, and support responsiveness
Analysis of third-party hosting, integrations, and community adoption
Review of licensing terms and restrictions
- +Frontier open-model reasoning: V3.2-Speciale at IMO 2025 gold-medal level (35/42), 96.0% AIME, 2nd at ICPC World Finals
- +DeepSeek Sparse Attention (DSA) makes 128K long-context inference dramatically cheaper
- +MIT license with full ~685B MoE weights: unrestricted commercial use and self-hosting
- +Dominant open model through early 2026 with broad third-party hosting (Together, Fireworks, AWS Bedrock)
- +Detailed technical report and visible chain-of-thought reasoning
- +Very low first-party API pricing
- !First-party API is China-hosted: China-jurisdiction data residency and no SOC 2/HIPAA/FedRAMP (self-hosting or Western hosts avoid this)
- !Superseded by DeepSeek-V4 (April 2026); no longer the frontier open model
- !V3.2-Speciale API endpoint was temporary; accessing Speciale now requires self-hosting its weights
- !Text-only: no vision or audio modalities
- !Topic-avoidance behavior on politically sensitive subjects in default weights
- !~685B parameters demand substantial multi-GPU infrastructure to self-host
- !No enterprise SLA or dedicated support on the first-party platform
Use Case Ratings
code generation
Excellent coding at exceptional cost; ICPC World Finals 2nd-place pedigree via Speciale. Best open coding value of its generation.
customer support
Capable and cheap for support workloads; reasoning mode unnecessary overhead for simple tickets.
content creation
Solid long-form generation; prose style less polished than frontier proprietary models.
data analysis
Strong analytical reasoning with cheap 128K context thanks to DSA; excellent for large-document analysis on a budget.
research assistant
Frontier-level mathematical and scientific reasoning (IMO gold-level via Speciale) with inspectable reasoning traces.
legal compliance
First-party API is China-hosted with no Western certifications; viable only via self-hosting or certified third-party hosts.
healthcare
No HIPAA path on the first-party API. Self-hosted deployments in compliant infrastructure are the only viable route.
financial analysis
Excellent quantitative reasoning at low cost; data-residency planning required for regulated workloads.
education
Outstanding math tutoring capability with visible step-by-step reasoning at prices viable for education budgets.
creative writing
Competent but not a creative standout; reasoning strength does not translate to distinctive prose.