DeepSeek V4

DeepSeek V4

deepseek· deepseekhealthy

DeepSeek V4: curated reference profile, MIT license

DeepSeek V4: curated reference profile drawn from the model's published reports. Not a Supermagin measurement. Run the official eval in the Studio to earn a verified score.

DeepSeek+6% net improvement

Curated reference profile · not a Supermagin measurement

Model card & documentation

DeepSeek V4

Curated reference profile · MIT license · vV4.0 · 1.1s latency

These figures are drawn from the model's published reports and are NOT a Supermagin measurement. Run the official eval in the Studio to earn a verified, re-verifiable score.

Capabilities

  • coding: 92%
  • reasoning: 91%
  • agent: 88%
  • cybersecurity: 86%

Notes

  • Low hallucination rate on audited evals.
  • Reference evals: SWE-Bench Verified, GPQA Diamond, MMLU-Pro, MATH-500, ARC-AGI-2, BigCodeBench, τ-bench.

Pooled score

0%

credibility 100% · consistency 0.96

Score trend across attested runs

38942 total samples

More attested runs are needed to show a trend.

Category scores

reasoning
91%
coding
92%
agent
88%
multimodal
78%
cybersecurity
86%

Progress by year

2023
76%
2024
84%
2025
90%
2026
93%

Success rate

0%

Failure rate

0%

Hallucination

0%

Avg latency

1100ms

per task

Avg cost

$0.0020

per task

Calibration gap

+0.09

positive = overconfident

Top failure signals

hallucination ×779logic_flaw ×1527instruction_failure ×1145

Pooled brain diagnostics

Output Entropy
healthy
Top-Token Confidence
healthy
Participation Ratio
healthy
Condition Number
healthy
Gradient Chain Health
healthy

Failure rate by task type

code
12%13630
qa
8%11683
reasoning
10%7788
classification
9%5841

Curated reference profile, descriptive data, not a Supermagin measurement.