Coding Model Ranking

AI BENCHY Category

See which AI models perform best on Coding, which ones stay reliable, and where the biggest gaps appear.

Models Shown

Average Coding Score

5.7

Best Model

Failure Reasons

With failure reason Wrong answer230 With failure reason API error43 With failure reason Timed out23 With failure reason No answer18 With failure reason Did not follow instructions16 With failure reason Extra formatting12

188/188

Rank	Model	Company	Coding Score	Score	Total Cost	Tests Correct	Response Time (avg)
#168	Grok 4.20 Beta none	X AI	1.8	4.7	$0.087	0/1	1.14s
Total Tests 1 Wrong Tests 1 Total Cost $0.087 Response Time (avg) 1.14s
#180	Grok 4.1 Fast none	X AI	1.8	4.0	$0.008	0/1	1.79s
Total Tests 1 Wrong Tests 1 Total Cost $0.008 Response Time (avg) 1.79s
#157	Laguna M.1 medium	Poolside	1.5	5.0	$0.033	0/1	35.6s
Total Tests 1 Wrong Tests 1 Total Cost $0.033 Response Time (avg) 35.6s
#183	gpt-oss-120b none	OpenAI	1.5	4.0	$0.010	0/1	9.57s
Total Tests 1 Wrong Tests 1 Total Cost $0.010 Response Time (avg) 9.57s
#174	Grok 4.20 none	X AI	1.1	4.4	$0.057	0/1	1.22s
Total Tests 1 Wrong Tests 1 Total Cost $0.057 Response Time (avg) 1.22s
#185	Nemotron 3 Nano Omni 30b A3b Reasoning medium	NVIDIA	1.1	3.6	$0.000	0/1	38.1s
Total Tests 1 Wrong Tests 1 Total Cost $0.000 Response Time (avg) 38.1s
#110	Gemini 3.1 Flash Lite Preview high	Google	0.0	6.1	$2.310	0/0	0ms
Total Tests 0 Wrong Tests 0 Total Cost $2.310 Response Time (avg) 0ms
#188	LFM2-24B-A2B none	Liquid	0.0	2.4	$0.001	0/0	0ms
Total Tests 0 Wrong Tests 0 Total Cost $0.001 Response Time (avg) 0ms

Coding Ranking