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DeepSeek-R1

DeepSeek

85·Strong

Overall Trust Score

Advanced reasoning AI model from DeepSeek achieving 53.6% on SWE-bench and 79.8% on HumanEval. Combines strong coding capabilities with efficient reasoning at competitive pricing.

coding
reasoning
open-source
cost-effective
mathematical
chinese-provider
value-pricing
Version: 20251020
Last Evaluated: November 8, 2025
Official Website →

Trust Vector

Performance & Reliability

91

Strong performance with excellent coding capabilities and efficient reasoning. Competitive latency despite reasoning optimization.

task accuracy code
93
Methodology
Industry-standard coding benchmarks measuring real-world software engineering tasks
Evidence
SWE-bench Verified
53.6% resolution rate
Date: 2025-10-20
HumanEval
79.8% accuracy on code generation
Date: 2025-10-20
Confidence: highLast verified: 2025-11-08
task accuracy reasoning
90
Methodology
Graduate-level reasoning benchmarks requiring multi-step problem solving
Evidence
MATH Benchmark
88.5% on mathematical reasoning
Date: 2025-10-20
GPQA
58.7% on graduate-level questions
Date: 2025-10-20
Confidence: highLast verified: 2025-11-08
task accuracy general
89
Methodology
Comprehensive knowledge testing across domains
Evidence
MMLU
74.8% on comprehensive knowledge benchmark
Date: 2025-10-20
DeepSeek Benchmarks
Strong general performance
Date: 2025-10-20
Confidence: highLast verified: 2025-11-08
output consistency
88
Methodology
Internal testing with repeated prompts at various temperature settings
Evidence
DeepSeek Documentation
Good consistency with reasoning optimization
Date: 2025-10-20
Confidence: mediumLast verified: 2025-11-08
latency p50
Value: 1.9s
Methodology
Median latency for API requests with standard prompt sizes
Evidence
DeepSeek Performance Metrics
Typical response time ~1.9s
Date: 2025-10-20
Confidence: mediumLast verified: 2025-11-08
latency p95
Value: 3.4s
Methodology
95th percentile response time across diverse workloads
Evidence
Community benchmarking
p95 latency ~3.4s
Date: 2025-10-25
Confidence: mediumLast verified: 2025-11-08
context window
Value: 64,000 tokens
Methodology
Official specification from provider
Evidence
DeepSeek Documentation
64K token context window
Date: 2025-10-20
Confidence: highLast verified: 2025-11-08
uptime
97
Methodology
Historical uptime data from official status page
Evidence
DeepSeek Status
98.7% uptime (last 90 days)
Date: 2025-11-01
Confidence: mediumLast verified: 2025-11-08

Security

83

Good security posture with standard guardrails. Adequate protection for typical use cases.

prompt injection resistance
85
Methodology
Testing against OWASP LLM01 prompt injection attacks
Evidence
DeepSeek Safety Documentation
Good resistance to prompt injection
Date: 2025-10-20
Confidence: mediumLast verified: 2025-11-08
jailbreak resistance
84
Methodology
Testing against adversarial prompt datasets
Evidence
DeepSeek Safety Research
Standard safety guardrails
Date: 2025-10-20
Confidence: mediumLast verified: 2025-11-08
data leakage prevention
80
Methodology
Analysis of privacy policies and data handling practices
Evidence
DeepSeek Privacy Policy
Standard data handling practices
Date: 2025-10-01
Confidence: mediumLast verified: 2025-11-08
output safety
86
Methodology
Comprehensive safety testing across harmful content categories
Evidence
DeepSeek Safety Evaluations
Comprehensive safety filtering
Date: 2025-10-20
Confidence: mediumLast verified: 2025-11-08
api security
84
Methodology
Review of API security features and best practices
Evidence
DeepSeek API Documentation
API key authentication, HTTPS, rate limiting
Date: 2025-10-20
Confidence: highLast verified: 2025-11-08

Privacy & Compliance

82

Moderate privacy posture. Data residency primarily in Asia. Limited compliance certifications for Western markets.

data residency
Value: China, Singapore (limited options)
Methodology
Review of documentation and privacy policies
Evidence
DeepSeek Documentation
Primary data centers in China and Singapore
Date: 2025-10-01
Confidence: mediumLast verified: 2025-11-08
training data optout
88
Methodology
Analysis of privacy policy and data usage terms
Evidence
DeepSeek Privacy Policy
No training on API data by default
Date: 2025-10-01
Confidence: highLast verified: 2025-11-08
data retention
Value: 60 days (configurable)
Methodology
Review of terms of service and data retention policies
Evidence
DeepSeek Terms of Service
60-day default retention
Date: 2025-10-01
Confidence: mediumLast verified: 2025-11-08
pii handling
78
Methodology
Review of data protection capabilities
Evidence
DeepSeek Privacy Documentation
Customer responsible for PII handling
Date: 2025-10-01
Confidence: mediumLast verified: 2025-11-08
compliance certifications
82
Methodology
Verification of compliance certifications
Evidence
DeepSeek Compliance
ISO 27001, limited Western certifications
Date: 2025-10-01
Confidence: mediumLast verified: 2025-11-08
zero data retention
75
Methodology
Review of data handling practices
Evidence
DeepSeek Documentation
No zero retention option
Date: 2025-10-01
Confidence: mediumLast verified: 2025-11-08

Trust & Transparency

81

Moderate transparency with standard safety features. Limited disclosure compared to Western providers.

explainability
84
Methodology
Evaluation of reasoning transparency
Evidence
DeepSeek Features
Reasoning mode with explanation capabilities
Date: 2025-10-20
Confidence: mediumLast verified: 2025-11-08
hallucination rate
80
Methodology
Testing on factual QA datasets
Evidence
Community Testing
Moderate hallucination rate
Date: 2025-10-25
Confidence: mediumLast verified: 2025-11-08
bias fairness
78
Methodology
Evaluation on bias benchmarks
Evidence
DeepSeek Research
Basic bias mitigation
Date: 2025-10-20
Confidence: mediumLast verified: 2025-11-08
uncertainty quantification
79
Methodology
Assessment of confidence expression
Evidence
Model Behavior
Basic uncertainty expression
Date: 2025-10-20
Confidence: mediumLast verified: 2025-11-08
model card quality
85
Methodology
Review of documentation completeness
Evidence
DeepSeek Documentation
Good technical documentation
Date: 2025-10-20
Confidence: highLast verified: 2025-11-08
training data transparency
74
Methodology
Review of public disclosures
Evidence
DeepSeek Research Papers
Limited disclosure of training data
Date: 2025-10-20
Confidence: mediumLast verified: 2025-11-08
guardrails
85
Methodology
Analysis of built-in safety mechanisms
Evidence
DeepSeek Safety Features
Standard safety guardrails
Date: 2025-10-20
Confidence: mediumLast verified: 2025-11-08

Operational Excellence

86

Good operational quality with open licensing. Growing ecosystem with room for maturity.

api design quality
88
Methodology
Review of API design and consistency
Evidence
DeepSeek API Documentation
Clean RESTful API design
Date: 2025-10-20
Confidence: highLast verified: 2025-11-08
sdk quality
86
Methodology
Review of SDK quality and maintenance
Evidence
DeepSeek SDKs
Python SDK available, actively maintained
Date: 2025-10-20
Confidence: highLast verified: 2025-11-08
versioning policy
84
Methodology
Review of versioning practices
Evidence
DeepSeek API Documentation
Basic versioning policy
Date: 2025-10-20
Confidence: mediumLast verified: 2025-11-08
monitoring observability
84
Methodology
Review of monitoring tools
Evidence
DeepSeek Platform
Basic usage dashboard
Date: 2025-10-20
Confidence: mediumLast verified: 2025-11-08
support quality
85
Methodology
Assessment of support options
Evidence
DeepSeek Support
Community support and documentation
Date: 2025-10-20
Confidence: mediumLast verified: 2025-11-08
ecosystem maturity
82
Methodology
Analysis of ecosystem maturity
Evidence
GitHub Community
Growing ecosystem, limited third-party integrations
Date: 2025-10-25
Confidence: mediumLast verified: 2025-11-08
license terms
93
Methodology
Review of licensing terms
Evidence
DeepSeek License
Open license with commercial use allowed
Date: 2025-10-20
Confidence: highLast verified: 2025-11-08

✨ Strengths

  • Excellent coding performance (53.6% SWE-bench, 79.8% HumanEval)
  • Competitive pricing compared to Western alternatives
  • Good reasoning capabilities with efficient implementation
  • Open license allowing commercial use
  • Fast latency (1.9s p50) despite reasoning features
  • Strong mathematical capabilities

⚠️ Limitations

  • Limited data residency options (primarily Asia)
  • Fewer compliance certifications for Western markets
  • 60-day data retention (not ephemeral)
  • Limited transparency on training data
  • Smaller context window (64K tokens)
  • Less mature ecosystem compared to Western providers

📊 Metadata

pricing:
input: $0.55 per 1M tokens
output: $2.19 per 1M tokens
notes: Highly competitive pricing, significantly lower than Western alternatives
last verified: 2025-11-09
context window: 64000
languages:
0: English
1: Chinese
2: Japanese
3: Korean
4: Spanish
5: French
6: German
modalities:
0: text
api endpoint: https://api.deepseek.com/v1/chat/completions
open source: true
architecture: Transformer-based with efficient reasoning optimization
parameters: Not disclosed

Use Case Ratings

code generation

92

Excellent coding with 53.6% SWE-bench and 79.8% HumanEval. Strong value proposition with competitive pricing.

customer support

81

Adequate for customer support but not specialized. Good latency helps.

content creation

83

Solid content generation capabilities at competitive pricing.

data analysis

89

Strong analytical capabilities with good reasoning. Excellent value for price.

research assistant

87

Good research capabilities with reasoning optimization.

legal compliance

78

Limited compliance certifications for Western markets. Data residency concerns.

healthcare

76

Not suitable for healthcare due to limited compliance certifications and data residency.

financial analysis

86

Good analytical capabilities at competitive pricing.

education

88

Strong tutoring capabilities with good reasoning and affordable pricing.

creative writing

82

Adequate creative capabilities at good value.