GPT-5.6 (Sol / Terra / Luna) is now evaluated on TrustVector โ€” with day-1 independent verification, incl. METR's benchmark-cheating findings.

Read the evaluation
Evaluation record ยท deepseek-v3-0324

DeepSeek V3 0324

v0324

DeepSeek

Modelsupersededopen-weightscost-effectivechinese
79
Strong
About This Model

DeepSeek's March 2025 open-weights V3 checkpoint, now superseded by DeepSeek V3.1 (Aug 2025), V3.2 (Dec 2025), and V4 (Apr 2026). The legacy deepseek-chat name no longer serves this checkpoint โ€” it routes to V4-Flash's non-thinking mode and is removed 2026-07-24 (15:59 UTC). V3-0324 remains available only via third-party hosts or self-hosted open weights. Historically offered strong performance at competitive pricing with transparent weights and commercial-friendly licensing.

Last Evaluated: July 9, 2026
Official Website

Trust Vector Analysis

Dimension Breakdown

๐Ÿš€Performance & Reliability
+

Strong performance for open-weights model. Good balance of capabilities and cost.

task accuracy code

Industry-standard coding benchmarks

Evidence
HumanEval Benchmark โ€” 59.4% pass rate
highVerified: 2026-07-09
task accuracy reasoning

Mathematical reasoning benchmarks

Evidence
MATH Benchmark โ€” 68% on mathematical reasoning
mediumVerified: 2026-07-09
task accuracy general

Knowledge testing benchmarks

Evidence
MMLU Benchmark โ€” 64.8% on multitask language understanding
highVerified: 2026-07-09
output consistency

Community evaluation

Evidence
Community Testing โ€” Good consistency reported
mediumVerified: 2026-07-09
latency p50

Median latency

Evidence
Community benchmarking โ€” ~1.2s on standard hardware
mediumVerified: 2026-07-09
latency p95

95th percentile

Evidence
Community benchmarking โ€” p95 ~2.6s
mediumVerified: 2026-07-09
context window

Official specification

Evidence
DeepSeek Documentation โ€” 64K token context
highVerified: 2026-07-09
uptime

Historical uptime

Evidence
DeepSeek API Status โ€” ~99% uptime
mediumVerified: 2026-07-09
๐Ÿ›ก๏ธSecurity
+

Moderate security for open-weights model. Additional safeguards recommended.

prompt injection resistance

Community adversarial testing

Evidence
Community Testing โ€” Moderate resistance
mediumVerified: 2026-07-09
jailbreak resistance

Adversarial testing

Evidence
DeepSeek Safety โ€” Basic safety mechanisms
mediumVerified: 2026-07-09
data leakage prevention

Policy analysis

Evidence
DeepSeek Privacy โ€” Standard privacy practices
mediumVerified: 2026-07-09
output safety

Safety testing

Evidence
DeepSeek Documentation โ€” Content filtering applied
mediumVerified: 2026-07-09
api security

API security review

Evidence
DeepSeek API โ€” API key auth, HTTPS
mediumVerified: 2026-07-09
๐Ÿ”’Privacy & Compliance
+

Standard privacy practices. 90-day retention longer than some competitors.

data residency

Documentation review

Evidence
DeepSeek Documentation โ€” Multiple regions
mediumVerified: 2026-07-09
training data optout

Privacy policy review

Evidence
DeepSeek Privacy โ€” Opt-out available
mediumVerified: 2026-07-09
data retention

Terms review

Evidence
DeepSeek Terms โ€” 90-day retention
mediumVerified: 2026-07-09
pii handling

Documentation review

Evidence
DeepSeek Documentation โ€” Customer responsible
mediumVerified: 2026-07-09
compliance certifications

Certification verification

Evidence
DeepSeek Trust โ€” Limited certifications disclosed
mediumVerified: 2026-07-09
zero data retention

Policy review

Evidence
DeepSeek Terms โ€” 90-day retention
mediumVerified: 2026-07-09
๐Ÿ‘๏ธTrust & Transparency
+

Good transparency for open-weights model. Comprehensive documentation.

explainability

Reasoning evaluation

Evidence
Model Behavior โ€” Reasonable explanations
mediumVerified: 2026-07-09
hallucination rate

Community evaluation

Evidence
Community Testing โ€” Moderate hallucination rate
mediumVerified: 2026-07-09
bias fairness

Bias benchmarks

Evidence
DeepSeek Documentation โ€” Bias mitigation applied
mediumVerified: 2026-07-09
uncertainty quantification

Qualitative assessment

Evidence
Model Behavior โ€” Reasonable uncertainty
mediumVerified: 2026-07-09
model card quality

Documentation review

Evidence
DeepSeek Model Card โ€” Comprehensive documentation
highVerified: 2026-07-09
training data transparency

Technical documentation review

Evidence
DeepSeek Technical Report โ€” Good training data disclosure
highVerified: 2026-07-09
guardrails

Safety system analysis

Evidence
Open weights โ€” Customizable safety
mediumVerified: 2026-07-09
โš™๏ธOperational Excellence
+

Good operational maturity with OpenAI-compatible API. Growing ecosystem.

api design quality

API review

Evidence
DeepSeek API โ€” OpenAI-compatible API
mediumVerified: 2026-07-09
sdk quality

SDK review

Evidence
DeepSeek SDKs โ€” Official SDKs available
mediumVerified: 2026-07-09
versioning policy

Versioning review

Evidence
DeepSeek Releases โ€” Clear versioning
DeepSeek API Pricing and Deprecation Notice โ€” Legacy deepseek-chat endpoint name deprecates 2026-07-24; superseded by V3.1, V3.2, and V4
DeepSeek API Change Log โ€” deepseek-chat alias currently routes to deepseek-v4-flash non-thinking mode (no longer serves V3-0324); alias removed 2026-07-24 15:59 UTC, after which requests using it fail
highVerified: 2026-07-09
monitoring observability

Tool review

Evidence
DeepSeek Platform โ€” Basic monitoring
mediumVerified: 2026-07-09
support quality

Support assessment

Evidence
DeepSeek Support โ€” Community support
mediumVerified: 2026-07-09
ecosystem maturity

Ecosystem analysis

Evidence
Community Ecosystem โ€” Growing ecosystem
mediumVerified: 2026-07-09
license terms

License review

Evidence
DeepSeek License โ€” Permissive commercial license
highVerified: 2026-07-09
Strengths
  • +Open-weights model with commercial-friendly licensing
  • +Highly competitive pricing ($0.27/$1.09 per 1M tokens) with good performance (59.4% HumanEval)
  • +Strong mathematical capabilities (68% MATH)
  • +OpenAI-compatible API for easy integration
  • +Good knowledge base (64.8% MMLU)
  • +Transparent model weights and documentation
Limitations
  • !90-day data retention longer than competitors
  • !Limited compliance certifications disclosed
  • !Moderate security compared to proprietary models
  • !Smaller ecosystem than established providers
  • !Less mature enterprise support
  • !Smaller context window (64K tokens)
  • !Superseded by DeepSeek V3.1/V3.2/V4; legacy deepseek-chat alias now routes to V4-Flash (not this checkpoint) and is removed 2026-07-24, leaving third-party hosts or self-hosting as the only ways to run V3-0324
Metadata
pricing
input: $0.27 per 1M tokens (historical first-party pricing)
output: $1.09 per 1M tokens (historical first-party pricing)
notes: Historical first-party API pricing no longer applies: the deepseek-chat alias now serves V4-Flash at V4 pricing and is removed 2026-07-24. V3-0324 is now served only by third-party hosts (rates vary) or self-hosted from open weights.
last verified: 2026-07-09
context window: 64000
languages
0: English
1: Chinese
2: Spanish
3: French
4: German
5: Japanese
6: Korean
modalities
0: text
api endpoint: https://api.deepseek.com/v1/chat/completions
open source: true
architecture: Transformer-based, MoE architecture
parameters: 236B (671B total with MoE)

Use Case Ratings

code generation

Good coding (59.4% HumanEval) at competitive pricing.

customer support

Adequate for customer support with cost advantage.

content creation

Good content creation for cost-sensitive applications.

data analysis

Good analytical capabilities with strong math (68% MATH).

research assistant

Good for research with 64.8% MMLU knowledge base.

legal compliance

Limited compliance certifications may restrict legal use.

healthcare

Not suitable for healthcare without compliance certifications.

financial analysis

Good for financial analysis with cost advantage.

education

Good for education with strong math capabilities.

creative writing

Adequate creative writing for budget-conscious projects.