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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.

139 open-weight models in chinese ranked by LMArena score · updated Nov 6, 2026

#	Model	Score	Votes	Params	License	Downloads	Likes
139	Llama-3.2-1B-Instructmeta-llama	959	674	1.2B	Llama 3.2	1.5M	1,961
138	Llama-2-7b-chat-hfmeta-llama	973	956	6.7B	Llama 2	126.4K	4,951
137	gemma-2b-itgoogle	986	598	2.5B	Gemma	14K	975
136	Llama-2-70b-chat-hfmeta-llama	995	3.6K	69.0B	Llama 2	4.8K	2,211
135	Llama-2-13b-chat-hfmeta-llama	1001	1.2K	13.0B	Llama 2	148.8K	1,138
134	Mistral-7B-Instruct-v0.2mistralai	1009	2K	7.2B	Apache 2.0	1.6M	3,280
133	gemma-1.1-2b-itgoogle	1012	1.3K	2.5B	Gemma	6.1K	175
132	OLMo-7B-Instructallenai	1014	722	6.9B	Apache 2.0	846	54
131	Phi-3-mini-128k-instructmicrosoft	1016	2K	3.8B	MIT	238.7K	1,713
130	Llama-3.2-3B-Instructmeta-llama	1017	721	3.2B	Llama 3.2	914.1K	2,963
129	Qwen1.5-4B-ChatQwen	1024	1K	4.0B	Custom	15.9K	53
128	Phi-3-mini-4k-instructmicrosoft	1033	1.2K	3.8B	MIT	329.2K	1,489
127	gemma-7b-itgoogle	1036	1K	8.5B	Gemma	25.3K	1,263
126	Mixtral-8x7B-Instruct-v0.1mistralai	1055	8.3K	46.7B	Apache 2.0	298.7K	4,777
125	gemma-1.1-7b-itgoogle	1061	3.2K	8.5B	Gemma	4.2K	276
124	Phi-3-small-8k-instructmicrosoft	1061	2.4K	7.4B	MIT	7.1K	182
123	granite-3.0-8b-instructibm-granite	1063	701	8.2B	Apache 2.0	13.3K	209
122	granite-3.0-2b-instructibm-granite	1070	759	2.6B	Apache 2.0	3.2K	48
121	Meta-Llama-3-8B-Instructmeta-llama	1076	10.8K	8.0B	Llama 3	359.6K	5,787
120	Qwen-14B-ChatQwen	1077	195	14.2B	—	5.2K	381

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