BenchmarkActivecategory · codingfamily · swe-bench · variant Verified

SWE-bench Verified

swebench.com

resolve real GitHub issues (500 human-validated instances)

data quality57

Updated 7 h ago · first seen 11 Sept 2026

Metric: resolved · % ↑
Current results: 158
Models: 82
Current leader: GLM 4.6 68.2%

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Trust level

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Score history · GLM 4.5 2 rows

GLM 4.5

54.2%date=2025-08-22 · board=Verified · system=mini-SWE-agent · model_tag=GLM-4.522 Aug 2025
64.2%date=2025-07-28 · board=Verified · system=Undisclosed · model_tag=https://huggingface.co/zai-org/GLM-4.528 Jul 2025

Back to the leaderboard

Frontier over time · resolved · board=Verified · system=Undisclosed

68.2%GLM 4.6 Z.ai (Zhipu AI) Community30 Sept 2025
64.2%GLM 4.5 Z.ai (Zhipu AI) Community28 Jul 2025

Includes closed rows (history). A point is emitted whenever a result beats every earlier result of the same group, ordered by evaluated_at when the source publishes it, else observed_at.

Leaderboard 2 models

Select models with +, then Compare.

Leaderboard
#	Model	Score	Trust	Configuration	vs leader	Evaluated	Source	Actions
1	GLM 4.6Open weightsZ.ai (Zhipu AI) · GLM4.6	68.2%	Community	group defaults	leader	30 Sept 2025	swebench.comT2	History
2	GLM 4.5Open weightsZ.ai (Zhipu AI) · GLM4.5	64.2%	Community	group defaults	Partially comparable-4.00 pt	28 Jul 2025	swebench.comT2	History

2 results

One row per canonical model — its best current row inside this comparability group (effort variants are folded into the model). Bars are relative to the page's best score. “vs leader” reads comparability: partially comparable = same task, conditions differ (reasoning effort, temperature, judge). Rules →

Definition

Task: Source:AI Atlas curated registry (YAML, versioned in git, every entry carries its source URL)T2observed 17 h agomedium
Metric: Source:AI Atlas curated registry (YAML, versioned in git, every entry carries its source URL)T2observed 17 h agomedium
Metric range: Source:AI Atlas curated registry (YAML, versioned in git, every entry carries its source URL)T2observed 7 h agomedium
Variant: Source:AI Atlas curated registry (YAML, versioned in git, every entry carries its source URL)T2observed 7 h agomedium
Harness: Source:AI Atlas curated registry (YAML, versioned in git, every entry carries its source URL)T2observed 7 h agomedium
Comparability note: Source:AI Atlas curated registry (YAML, versioned in git, every entry carries its source URL)T2observed 7 h agomedium
Known limitations: Source:AI Atlas curated registry (YAML, versioned in git, every entry carries its source URL)T2observed 17 h agomedium
Paper: Source:AI Atlas curated registry (YAML, versioned in git, every entry carries its source URL)T2observed 17 h agomedium
Website: swebench.com
Source:AI Atlas curated registry (YAML, versioned in git, every entry carries its source URL)T2observed 17 h agomedium

Active group

resolved · board=Verified · system=Undisclosed

2 models · 2 current rows

Comparability

Comparable same task and conditions · Partially comparable same task, conditions differ (effort, temperature, judge) · Not comparable different variant or metric

Also known as

SWE-bench, SWE-bench Verified

slug swe-bench-verified · bench_01M293SPEGA1XMKH0SMTFTCK2R

Rows are grouped by comparability group = canonical metric × config_key (hash of the task-defining configuration keys: variant, evaluator, harness, shots, pass regime…). A leaderboard shows one row per canonical model: its best current row inside the group. Reasoning effort, temperature or judge differences keep rows in the same group but mark them partially comparable. delta_rank compares with the ranking built from the closed (previous) rows of the same group.