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Evidence record

DeepSeek V4 Pro (max)

PortBench · Evidence record

Sources and provenance ↓ Read the research narrative →

Original source charts and materials

PortBench

Original evaluator results · source order

Reported task accuracy

0–100%
DeepSeek V4 Pro (max)
44%
Showing 1 of 1 systems

CAISI’s held-out software engineering evaluation uses reference implementations and a reported agent budget.

The task set is non-public and continuous scoring differs from binary task success. Report dates and original executor are shown with this assessment.

Evaluation conditions and system configurations
DeepSeek V4 Pro (max)
Non-public CAISI task set; report describes continuous scoring. · PortBench
modelVersion: DeepSeek V4 Pro (max) · harness: Inspect ReAct · tools: Software engineering environment · budget: 1M weighted tokens
PortBench · source order
System / configurationReported task accuracyPublication / verification
DeepSeek V4 Pro (max)Inspect ReAct44%Published2026-05-01

Assessment provenance

CAISI Evaluation of DeepSeek V4 Pro → · External report

Actual evaluation: NIST / CAISI · Model record →

Method and scope

CAISI’s held-out software engineering evaluation uses reference implementations and a reported agent budget.

Evidence type
Benchmark
Assessment subject
The model or agent in the stated task configuration.
Primary dimension
Capability
Evidence snapshot
2026-10-29.1

The main dimension follows the stated measurement; contextual risk relevance does not establish harmful deployment capability.

Source finding

Source-reported measurements in Capability Results; Figure 2. Transcription is not independent experimental replication.

Limitations

The task set is non-public and continuous scoring differs from binary task success.

The task set is non-public and continuous scoring differs from binary task success.

Related research questions

References

Numerical results are reported by the cited authors.

  1. [1] PortBench. 2026-05-01. 1 May 2026 ; Capability Results; Figure 2