MQ
MODELQUEST
choose the right AI for the quest
Gemini 3.1 Pro · API · High thinking
Evidenceacceptedvendor_reported

SWE-bench Verified

Google DeepMind — Gemini 3.1 Pro · SWE Verified

ev_2026_07_gem31pro_swe_vendor

Result
Configuration

How it was measured

Exact model
gemini-3.1-pro-preview
Reasoning
high
Agent harness
vendor_gemini_swe
Tool access
agentic coding tools
Prompting
vendor published agent eval

Secondary STR — vendor-reported SWE-bench Verified for Gemini 3.1 Pro.

Caveats

Known limitations

  • Vendor-reported; cannot receive confidence S.
  • Harness ≠ openlm / Vals mini-swe rows.
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
recency0.85
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 →