Skip to content
The Aggregate

Unified LLM rankings, daily

Models What's New Trends Benchmarks Skill Maps Task Explorer Builder
How It Works About Guesswork Metrics
The Aggregate
Loading data...

AA Omniscience - Software Engineering (SWE) - Go: leaderboard

Metric: Accuracy (%). Source: artificialanalysis.ai. 294 models tracked.

Top models

#ModelScore
1Claude Opus 4.5 (Thinking)70
2Claude Opus 4.5 (Non-reasoning)66
3DeepSeek V4 Pro (0813) (Reasoning, Max Effort)66
4Kimi K3 (Max)60
5Gemini 3 Pro (Preview) (High)60
6Claude Sonnet 4.5 (Non-reasoning)58
7Kimi K3 (Low)56
8Claude Sonnet 4.5 (Thinking)52
9Kimi K2.7 Code52
10DeepSeek V4 Pro (Reasoning, High Effort)52
11Kimi K2.5 (Thinking)50
12DeepSeek V4 Flash (Reasoning, Max Effort)50
13GPT-5 (Medium)46
14DeepSeek V4 Pro (Reasoning, Max Effort)46
15Hy3-preview (Non-reasoning)46

Interactive version: theaggregate.ai/benchmark?slug=aa-omniscience-software-engineering-swe-go · How It Works · Data refreshed daily, snapshot 2026-09-05.

Built by Mikhail Doroshenko — AI researcher, co-author of Humanity’s Last Exam. Independent project; no affiliation with any AI lab.
A

Your Aggregate

Sign in to keep your work

Save custom rankings and get 50 free task analyses each day.

Continue with Google Continue with GitHub

No password to remember. Your public profile identifies saved work.

Your Aggregate

Account

  • Saved custom aggregate views
  • 50 free task analyses per day
Sign out