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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.

135 open-weight models in expert ranked by LMArena score · updated Oct 28, 2026

#	Model	Score	Votes	Params	License	Downloads	Likes
135	gemma-1.1-2b-itgoogle	970	578	2.5B	Gemma	6.1K	175
134	Qwen1.5-4B-ChatQwen	980	356	4.0B	Custom	15.9K	53
133	Phi-3-mini-128k-instructmicrosoft	984	1.1K	3.8B	MIT	236.2K	1,713
132	gemma-7b-itgoogle	1001	340	8.5B	Gemma	25.3K	1,263
131	Llama-3.2-1B-Instructmeta-llama	1007	487	1.2B	Llama 3.2	1.5M	1,958
130	Llama-2-13b-chat-hfmeta-llama	1030	539	13.0B	Llama 2	152.7K	1,138
129	Mistral-7B-Instruct-v0.2mistralai	1036	798	7.2B	Apache 2.0	1.6M	3,279
128	Llama-2-7b-chat-hfmeta-llama	1036	411	6.7B	Llama 2	126.9K	4,949
127	Llama-2-70b-chat-hfmeta-llama	1039	1.4K	69.0B	Llama 2	4.6K	2,211
126	gemma-1.1-7b-itgoogle	1039	1.2K	8.5B	Gemma	4.3K	276
125	Phi-3-mini-4k-instructmicrosoft	1051	486	3.8B	MIT	324.8K	1,489
124	Qwen1.5-7B-ChatQwen	1055	231	7.7B	Tongyi Qianwen	7.1K	192
123	granite-3.0-2b-instructibm-granite	1064	407	2.6B	Apache 2.0	3.2K	48
122	Phi-3-small-8k-instructmicrosoft	1067	895	7.4B	MIT	7.1K	182
121	granite-3.0-8b-instructibm-granite	1087	345	8.2B	Apache 2.0	13.1K	209
120	Mixtral-8x7B-Instruct-v0.1mistralai	1087	3.2K	46.7B	Apache 2.0	292.7K	4,777
119	Llama-3.2-3B-Instructmeta-llama	1090	499	3.2B	Llama 3.2	929.3K	2,952
118	Qwen1.5-14B-ChatQwen	1094	944	14.2B	Tongyi Qianwen	12.1K	118
117	gemma-2-2b-itgoogle	1096	2.5K	2.6B	Gemma	129.8K	1,605
116	Phi-3-medium-4k-instructmicrosoft	1108	1.1K	14.0B	MIT	18.2K	231

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