Coding Model Ranking

AI BENCHY Category

See which AI models perform best on Coding, which ones stay reliable, and where the biggest gaps appear. Sort by: Tests Correct ↑.

Models Shown

Average Coding Score

6.1

Best Model

Failure Reasons

With failure reason Wrong answer120 With failure reason No answer18 With failure reason Did not follow instructions16 With failure reason Timed out12 With failure reason Extra formatting7 With failure reason API error6

Rank	Model	Company	Coding Score	Score	Tests Correct	Response Time (avg)
#146	Ling-2.6-1T none	Inclusionai	5.5	4.5	0/1	10.6s
#147	GPT-5.4 Nano none	OpenAI	5.4	4.5	0/2	1.09s
#148	GLM 4.7 Flash medium	Z.ai	3.4	4.5	0/2	55.3s
#149	MiMo-V2-Flash none	Xiaomi	4.9	4.4	0/2	2.04s
#150	Grok 4.1 Fast none	X AI	5.3	4.4	0/1	1.79s
#151	Qwen3.5-9B medium	Qwen	2.8	4.2	0/2	135.6s
#153	Granite 4.1 8B none	IBM Granite	5.2	4.1	0/2	706ms
#1	Gemini 3 Flash Preview medium	Google	7.9	9.8	1/2	96.0s
#3	Gemini 3.5 Flash low	Google	6.8	9.3	1/2	5.54s
#4	Gemini 3.1 Pro Preview medium	Google	7.0	9.3	1/2	54.3s
#6	Gemini 3.5 Flash medium	Google	6.8	9.0	1/2	9.91s
#9	Gemini 3.5 Flash none	Google	8.2	8.9	1/2	39.6s
#11	GPT-5.5 medium	OpenAI	8.2	8.7	1/2	69.7s
#12	Gemini 3 Flash Preview low	Google	7.3	8.6	1/2	6.66s
#14	Qwen3.6 Max Preview medium	Qwen	8.2	8.4	1/2	178.0s

Coding Ranking