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MODELQUEST
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DeepSeek V4 Pro · API · Max effort
Evidenceacceptedvendor_reported

SWE-bench Verified

DeepSeek V4 tech report / model card — SWE Verified

ev_2026_07_dsv4pro_swe_vendor

Result
Configuration

How it was measured

Exact model
deepseek-v4-pro
Reasoning
max
Agent harness
vendor_deepseek_swe
Tool access
agentic coding tools
Prompting
vendor published agent eval

Secondary STR — vendor SWE-bench Verified for V4-Pro-Max.

Caveats

Known limitations

  • Vendor-reported; cannot receive confidence S.
  • Harness ≠ mini-swe-agent openlm 76.2% row.
Weighting

Evidence weight factors

The engine weights each evidence row by these factors (0–1) when fusing scores — higher is more trusted.

relevance0.90
quality0.55
recency0.90
health0.80
comparability0.65
reliability0.70
Benchmark

SWE-bench Verified

Human-filtered 500-instance subset of SWE-bench evaluating whether models can resolve real GitHub issues in existing repositories under a controlled agent harness.

Benchmark source →