MQ
MODELQUEST
choose the right AI for the quest
Claude Opus 4.8 · API · High effort (default)
Evidenceacceptedthird_party_leaderboard

SWE-bench Verified

Vals.ai SWE-bench Verified (mini-swe-agent) — Claude Opus 4.8

ev_2026_07_opus48_swe_vals

Result
Configuration

How it was measured

Exact model
claude-opus-4-8
Reasoning
high
Agent harness
mini-swe-agent
Tool access
bash only
Prompting
Vals default; max tokens raised

PRIMARY STR — independent Vals mini-swe-agent board.

Caveats

Known limitations

  • mini-swe-agent minimal harness; richer agents can score higher.
  • High/max effort — not bare chat.
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
health0.80
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 →