Ran it, or it didn’t happen.

Benchmark open models on your own hardware. Runs count once their event log checks out.

Recent verified runsWhereSpeed

PassedFailedNot supported

Cloud leaderboard

Every model runs on the same pinned machine. 17 models, 70 runs.

#	Model	Pass rate				Speed	Runs
1	Qwen3.5-35B-A3BQ4_K_M	96%	9/9	8/9	9/9	201.4 tok/s	3
2	Qwen3.5-27BQ4_K_M	93%	8/9	9/9	8/9	35.5 tok/s	3
3	Qwen3-30B-A3B-Instruct-2507Q4_K_M	92%	11/12	10/12	12/12	187.6 tok/s	4
4	GLM-4.7-FlashQ4_K_M	89%	9/9	6/9	9/9	201.7 tok/s	3
5	Qwen3-Coder-30B-A3B-InstructQ4_K_M	89%	9/9	7/9	8/9	186.4 tok/s	3
6	Qwen3-8BQ4_K_M	89%	9/12	11/12	12/12	120.7 tok/s	4
7	Qwen3-14BQ4_K_M	87%	13/15	11/15	15/15	67.1 tok/s	5
8	gemma-3-27b-itQ4_K_M	86%	17/18	Not supported	14/18	36.2 tok/s	6
9	gpt-oss-20bMXFP4	85%	9/9	9/9	5/9	173.8 tok/s	3
10	gemma-3-4b-itQ4_K_M	83%	11/15	Not supported	14/15	232.7 tok/s	5
11	Qwen3.5-2BQ4_K_M	81%	9/12	9/12	11/12	298.1 tok/s	4
12	Qwen3-4BQ4_K_M	78%	6/9	6/9	9/9	247.9 tok/s	3
13	gemma-3-12b-itQ4_K_M	75%	8/12	Not supported	10/12	80.9 tok/s	4
14	Llama-3.1-8B-InstructQ4_K_M	71%	8/15	9/15	15/15	124.4 tok/s	5
15	Phi-3.5-mini-instructQ4_K_M	64%	9/18	Not supported	14/18	261.3 tok/s	6
16	MiniCPM5-2BQ4_K_M	52%	4/9	3/9	7/9	301.4 tok/s	3
17	Mistral-7B-Instruct-v0.2Q4_K_M	47%	6/18	Not supported	11/18	137.1 tok/s	6

Ranked by checks passed. A task a model can’t do is shown, not counted as a zero.

143 open-weight models in coding ranked by LMArena score · updated Oct 28, 2026

#	Model	Score	Votes	Params	License	Downloads	Likes
143	Qwen1.5-4B-ChatQwen	999	1.3K	4.0B	Custom	15.9K	53
142	Llama-2-7b-chat-hfmeta-llama	1002	2K	6.7B	Llama 2	126.9K	4,949
141	gemma-2b-itgoogle	1009	742	2.5B	Gemma	13.8K	975
140	OLMo-7B-Instructallenai	1015	772	6.9B	Apache 2.0	845	54
139	gemma-1.1-2b-itgoogle	1034	2K	2.5B	Gemma	6.1K	175
138	Phi-3-mini-128k-instructmicrosoft	1039	3.9K	3.8B	MIT	236.2K	1,713
137	gemma-7b-itgoogle	1048	1.4K	8.5B	Gemma	25.3K	1,263
136	Llama-2-13b-chat-hfmeta-llama	1062	2.6K	13.0B	Llama 2	152.7K	1,138
135	SOLAR-10.7B-Instruct-v1.0upstage	1067	482	10.7B	CC BY-NC 4.0	48.9K	660
134	Llama-3.2-1B-Instructmeta-llama	1070	1.3K	1.2B	Llama 3.2	1.5M	1,958
133	Qwen-14B-ChatQwen	1071	599	14.2B	—	5.2K	381
132	Llama-2-70b-chat-hfmeta-llama	1078	5.7K	69.0B	Llama 2	4.6K	2,211
131	Mistral-7B-Instruct-v0.2mistralai	1081	3.1K	7.2B	Apache 2.0	1.6M	3,279
130	gemma-1.1-7b-itgoogle	1083	4.3K	8.5B	Gemma	4.3K	276
129	granite-3.0-2b-instructibm-granite	1090	1.1K	2.6B	Apache 2.0	3.2K	48
128	Phi-3-mini-4k-instructmicrosoft	1093	1.8K	3.8B	MIT	324.8K	1,489
127	deepseek-llm-67b-chatdeepseek-ai	1095	649	—	Custom	2.7K	222
126	Llama-3.2-3B-Instructmeta-llama	1097	1.4K	3.2B	Llama 3.2	929.3K	2,952
125	Phi-3-small-8k-instructmicrosoft	1101	3.2K	7.4B	MIT	7.1K	182
124	Qwen1.5-7B-ChatQwen	1107	772	7.7B	Tongyi Qianwen	7.1K	192

Scores: LMArena, CC BY 4.0. Measured on served versions, not local builds. A model with several served variants shows its best.