AI EVALUATION, IN CONTEXT.BY EQUALITY MACHINE

LLM Stats

SWE-bench Verified (Agentless)

A human-validated subset of SWE-bench that evaluates language models' ability to resolve real-world GitHub issues using an agentless approach. The benchmark tests models on software engineering problems requiring understanding and coordinating changes across multiple functions, classes, and files simultaneously.

Evaluation context and evidence

Source
LLM Stats
Publisher
Not recorded
Benchmark release
Not recorded
Collected
2026-08-17
Modality
text

These are source-reported observations, not independent reruns by this site. Check the task version, evaluation protocol, unit and reporting date before comparing models. Results from different setups are not a universal ranking.

Original sources

Reported results 2

Shown in source observation order, not ranked. Dates retain the precision provided by the source.

ModelValueUnitProtocolReported date and basisSource
Kimi K2 Instruct0.518Not recordedNot recorded2025-07-11 · model_announcementLLM Stats
MiMo-V2.5-Pro0.357Not recordedNot recorded2026-04-27 · model_announcementLLM Stats