Benchmarks / Coding

GSO software optimization, Opt@1 (UC Berkeley)

An agent gets a real codebase and a performance test and must make the code as fast as an expert developer's optimization; 102 tasks across 10 codebases and 5 languages. Maintained by GSO team. Score: Opt@1: share of tasks where a single attempt reaches at least 95 % of the human speedup and passes the correctness tests.

26models
–Open Index weight
–last updated

GSO software optimization, Opt@1 (UC Berkeley)

Higher is better · best effort per model

Chart settings
26 of 26 selected

full table below

#ModelEffortScoreCost / taskHarness
1Opus 4.8xhigh47.1%–OpenHands
2Opus 4.7high44.1%–OpenHands
3Opus 4.6high41.2%–OpenHands
4GPT-5.5xhigh40.2%–OpenHands
5Sonnet 5xhigh37.3%–OpenHands
6GPT-5.4xhigh31.4%–OpenHands
7GPT-5.2high27.4%–OpenHands
8Opus 4.5high26.5%–OpenHands
9Gemini 3.1 Prohigh22.6%–OpenHands
10Gemini 3 Prohigh18.6%–OpenHands
11Sonnet 4.5high14.7%–OpenHands
12GPT-5.1high13.7%–OpenHands
13Gemini 3 Flashhigh9.8%–OpenHands
14o3high8.8%–OpenHands
15GPT-5high6.9%–OpenHands
16Opus 4medium6.9%–OpenHands
17Qwen 3 Codermedium4.9%–OpenHands
18Kimi K2medium4.9%–OpenHands
19Sonnet 4high4.9%–OpenHands
20Sonnet 3.5medium4.6%–OpenHands
21Gemini 2.5 Prohigh3.9%–OpenHands
22Sonnet 3.7medium3.8%–OpenHands
23o4 minihigh3.6%–OpenHands
24GLM 4.5 Air–2.9%–OpenHands
25o3 minihigh1.3%–OpenHands
26GPT-4ohigh0.0%–OpenHands