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)
#69	Claude Sonnet 4.6 none	Anthropic	6.8	7.0	1/2	6.73s
#70	Qwen3.5-35B-A3B medium	Qwen	6.5	7.0	1/2	244.5s
#76	Gemma 4 31B none	Google	6.8	6.7	1/2	14.8s
#78	Gemini 3.1 Flash Lite minimal	Google	6.8	6.7	1/2	951ms
#83	Qwen3.6 27B medium	Qwen	6.6	6.6	1/2	165.4s
#85	Gemini 3.1 Flash Lite none	Google	6.8	6.6	1/2	1.13s
#86	GPT-5.5 none	OpenAI	6.8	6.5	1/2	1.52s
#90	Mercury 2 medium	Inception	7.2	6.3	1/2	2.29s
#92	Gemini 2.5 Flash none	Google	6.8	6.2	1/2	810ms
#97	Qwen3.5-Flash none	Qwen	6.8	5.9	1/2	993ms
#98	GLM 5V Turbo none	Z.ai	6.8	5.9	1/2	3.77s
#99	Seed-2.0-Lite none	Bytedance Seed	6.8	5.9	1/2	2.95s
#100	Owl Alpha medium	Openrouter	6.6	5.8	1/2	19.1s
#102	Qwen3.5-35B-A3B none	Qwen	6.8	5.8	1/2	1.72s
#103	Qwen3.5-27B none	Qwen	7.3	5.8	1/2	1.98s

Coding Ranking