DeepSeek V3 0324
DeepSeek
80·Strong
Overall Trust Score
DeepSeek's latest open-weights model offering strong performance at competitive pricing. Designed for developers seeking capable models with transparent weights and commercial-friendly licensing.
open-weights
cost-effective
chinese
moe
competitive-pricing
openai-compatible
Trust Vector
Performance & Reliability
79
Strong performance for open-weights model. Good balance of capabilities and cost.
task accuracy code81
task accuracy code
81
Methodology
Industry-standard coding benchmarks
Evidence
Confidence: highLast verified: 2025-11-08
task accuracy reasoning79
task accuracy reasoning
79
Methodology
Mathematical reasoning benchmarks
Evidence
Confidence: mediumLast verified: 2025-11-08
task accuracy general80
task accuracy general
80
Methodology
Knowledge testing benchmarks
Evidence
Confidence: highLast verified: 2025-11-08
output consistency77
output consistency
77
Methodology
Community evaluation
Evidence
Confidence: mediumLast verified: 2025-11-08
latency p50Value: 1.2s
latency p50
Value: 1.2s
Methodology
Median latency
Evidence
Confidence: mediumLast verified: 2025-11-08
latency p95Value: 2.6s
latency p95
Value: 2.6s
Methodology
95th percentile
Evidence
Confidence: mediumLast verified: 2025-11-08
context windowValue: 64,000 tokens
context window
Value: 64,000 tokens
Methodology
Official specification
Evidence
Confidence: highLast verified: 2025-11-08
uptime92
uptime
92
Methodology
Historical uptime
Evidence
Confidence: mediumLast verified: 2025-11-08
Security
76
Moderate security for open-weights model. Additional safeguards recommended.
prompt injection resistance74
prompt injection resistance
74
Methodology
Community adversarial testing
Evidence
Confidence: mediumLast verified: 2025-11-08
jailbreak resistance75
jailbreak resistance
75
Methodology
Adversarial testing
Evidence
Confidence: mediumLast verified: 2025-11-08
data leakage prevention78
data leakage prevention
78
Methodology
Policy analysis
Evidence
Confidence: mediumLast verified: 2025-11-08
output safety76
output safety
76
Methodology
Safety testing
Evidence
Confidence: mediumLast verified: 2025-11-08
api security78
api security
78
Methodology
API security review
Evidence
Confidence: mediumLast verified: 2025-11-08
Privacy & Compliance
80
Standard privacy practices. 90-day retention longer than some competitors.
data residencyValue: China, US (API)
data residency
Value: China, US (API)
Methodology
Documentation review
Evidence
Confidence: mediumLast verified: 2025-11-08
training data optout82
training data optout
82
Methodology
Privacy policy review
Evidence
Confidence: mediumLast verified: 2025-11-08
data retentionValue: 90 days
data retention
Value: 90 days
Methodology
Terms review
Evidence
Confidence: mediumLast verified: 2025-11-08
pii handling76
pii handling
76
Methodology
Documentation review
Evidence
Confidence: mediumLast verified: 2025-11-08
compliance certifications72
compliance certifications
72
Methodology
Certification verification
Evidence
Confidence: mediumLast verified: 2025-11-08
zero data retention68
zero data retention
68
Methodology
Policy review
Evidence
Confidence: mediumLast verified: 2025-11-08
Trust & Transparency
83
Good transparency for open-weights model. Comprehensive documentation.
explainability81
explainability
81
Methodology
Reasoning evaluation
Evidence
Confidence: mediumLast verified: 2025-11-08
hallucination rate79
hallucination rate
79
Methodology
Community evaluation
Evidence
Confidence: mediumLast verified: 2025-11-08
bias fairness78
bias fairness
78
Methodology
Bias benchmarks
Evidence
Confidence: mediumLast verified: 2025-11-08
uncertainty quantification80
uncertainty quantification
80
Methodology
Qualitative assessment
Evidence
Confidence: mediumLast verified: 2025-11-08
model card quality88
model card quality
88
Methodology
Documentation review
Evidence
Confidence: highLast verified: 2025-11-08
training data transparency85
training data transparency
85
Methodology
Technical documentation review
Evidence
Confidence: highLast verified: 2025-11-08
guardrails82
guardrails
82
Methodology
Safety system analysis
Evidence
Confidence: mediumLast verified: 2025-11-08
Operational Excellence
81
Good operational maturity with OpenAI-compatible API. Growing ecosystem.
api design quality83
api design quality
83
Methodology
API review
Evidence
Confidence: mediumLast verified: 2025-11-08
sdk quality80
sdk quality
80
Methodology
SDK review
Evidence
Confidence: mediumLast verified: 2025-11-08
versioning policy82
versioning policy
82
Methodology
Versioning review
Evidence
Confidence: mediumLast verified: 2025-11-08
monitoring observability76
monitoring observability
76
Methodology
Tool review
Evidence
Confidence: mediumLast verified: 2025-11-08
support quality78
support quality
78
Methodology
Support assessment
Evidence
Confidence: mediumLast verified: 2025-11-08
ecosystem maturity79
ecosystem maturity
79
Methodology
Ecosystem analysis
Evidence
Confidence: mediumLast verified: 2025-11-08
license terms88
license terms
88
Methodology
License review
Evidence
Confidence: highLast verified: 2025-11-08
✨ 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)
📊 Metadata
pricing:
input: $0.27 per 1M tokens
output: $1.09 per 1M tokens
notes: Highly competitive pricing for performance level (cache miss pricing)
last verified: 2025-11-09
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
81
Good coding (59.4% HumanEval) at competitive pricing.
customer support
78
Adequate for customer support with cost advantage.
content creation
79
Good content creation for cost-sensitive applications.
data analysis
80
Good analytical capabilities with strong math (68% MATH).
research assistant
80
Good for research with 64.8% MMLU knowledge base.
legal compliance
72
Limited compliance certifications may restrict legal use.
healthcare
70
Not suitable for healthcare without compliance certifications.
financial analysis
78
Good for financial analysis with cost advantage.
education
81
Good for education with strong math capabilities.
creative writing
77
Adequate creative writing for budget-conscious projects.