MQ
MODELQUEST
choose the right AI for the quest
GPT-5.6 Sol · API · Max effort
Evidenceacceptedthird_party_leaderboard

SWE-bench Verified

Vals.ai SWE-bench Verified (mini-swe-agent) — GPT-5.6 Sol

ev_2026_07_gpt56sol_swe_vals

Result
96.2%
Confidence A
Tested
2026-07-09
Runs
1
Configuration

How it was measured

Exact model
gpt-5.6-sol
Reasoning
max
Agent harness
mini-swe-agent
Tool access
bash only (no specialized editor tools)
Prompting
Vals default provider config; max tokens raised to model max

PRIMARY STR — independent Vals.ai SWE-bench Verified board using mini-swe-agent for all models. Prefer over vendor SWE-bench Pro for comparative STR.

Caveats

Known limitations

  • Single public board point estimate; multi-trial CI not fully transcribed here.
  • Max / high-effort flagship config — not bare chat or Luna/Terra.
  • mini-swe-agent is intentionally minimal; richer harnesses (Codex, Claude Code) can score differently.
  • Do not equate Verified % with vendor SWE-bench Pro.
Weighting

Evidence weight factors

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

relevance0.95
quality0.85
recency1.00
health0.75
comparability0.90
reliability0.85
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 →