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52 models compared.

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52 models · sorted by Balanced composite (high → low) · pick any two rows to compare

#	Model	PipelineScore ▾	Code	Reason	Tool Use	RAG	Speed	Runs	Tier
1	openai/gpt-oss-20blocal	93.2	100.0	80.0	87.5	100.0	99.3	2	TRUNK
2	DeepSeek R1 671B-A37BdeepseekLab	89.0	85.0	88.9	90.8	89.8	93.6	4	MAINLINE
3	Qwen 3 235B-A22B MoEalibaba	87.9	89.5	91.5	88.7	89.7	76.6	4	MAINLINE
4	DeepSeek Coder V2 236BdeepseekLab	87.6	89.5	82.7	85.7	89.0	92.2	4	MAINLINE
5	DeepSeek V3 671B-A37Bdeepseek	87.3	82.5	89.6	89.1	90.7	86.8	4	MAINLINE
6	Qwen 3 72B InstructalibabaLab	86.0	87.7	84.9	82.7	90.8	82.8	4	MAINLINE
7	Hermes 3 Llama 3.1 405Bnous	85.1	85.3	81.5	87.3	84.0	88.9	4	MAINLINE
8	DeepSeek V4deepseek	84.9	83.7	86.2	80.7	86.7	88.5	12	MAINLINE
9	Qwen 2.5 72B Instructalibaba	84.6	81.5	85.3	87.2	81.7	89.4	4	MAINLINE
10	DeepSeek R1 Distill Qwen 32Bdeepseek	83.9	80.8	86.5	81.7	90.0	81.7	4	MAINLINE
11	mlx-community/Qwen3.6-35B-A3B-4bitlocal	83.7	75.0	80.0	87.5	100.0	82.5	1	MAINLINE
12	Llama 3.3 70B Instructmeta	83.2	87.2	79.8	78.8	85.8	83.2	4	MAINLINE
13	Llama 4 70B Instructmeta	82.3	84.7	81.7	76.3	87.0	80.4	4	MAINLINE
14	Qwen 3.6 72Balibaba	82.0	78.6	81.4	88.4	79.3	84.4	12	MAINLINE
15	Mixtral 8x22B InstructmistralLab	81.9	84.7	79.7	78.7	82.2	83.2	4	MAINLINE
16	Qwen 3 32B InstructalibabaLab	81.8	87.1	82.0	81.0	79.0	76.0	4	MAINLINE
17	Command AcohereLab	81.7	80.9	78.3	85.2	79.8	86.0	4	MAINLINE
18	Qwen 2.5 Coder 32Balibaba	81.2	76.3	84.5	86.0	82.4	78.3	4	MAINLINE
19	Qwen 2.5 32B Instructalibaba	81.1	82.9	78.5	85.8	84.8	71.4	4	MAINLINE
20	DBRX Instruct 132B-MoEdatabricks	81.1	82.6	75.6	84.6	85.8	76.7	4	MAINLINE
21	Mistral Large 2mistral	81.0	82.4	82.8	78.1	83.8	76.3	12	MAINLINE
22	gemma4:12b-it-qat_gpulocal	80.9	87.5	80.0	87.5	100.0	40.6	1	MAINLINE
23	Qwen 3 14B Instructalibaba	80.7	80.4	79.1	77.8	82.9	84.6	4	MAINLINE
24	WizardLM 2 8x22BmicrosoftLab	80.3	81.4	82.7	76.1	82.0	78.0	4	MAINLINE
25	Qwen 2.5 VL 72Balibaba	80.2	79.3	76.1	78.4	84.3	85.7	4	MAINLINE
26	Hermes 3 Llama 3.1 70Bnous	79.9	83.7	81.5	78.0	73.8	79.8	4	MAINLINE
27	Kimi K2 InstructmoonshotLab	79.8	77.1	86.5	77.5	80.3	77.3	4	MAINLINE
28	Devstral Small 24Bmistral	79.3	76.9	79.9	83.4	76.0	81.7	4	MAINLINE
29	Gemma 3 27B ITgoogle	78.2	82.6	79.2	75.7	78.6	70.8	4	MAINLINE
30	Llama 3.1 70B Instructmeta	77.8	83.7	79.7	79.5	74.1	66.1	4	MAINLINE
31	Qwen 2.5 14B InstructalibabaLab	77.6	79.0	73.4	81.8	73.4	80.8	4	MAINLINE
32	DeepSeek V2.5deepseekLab	77.5	76.1	84.5	78.2	81.4	64.9	4	MAINLINE
33	GLM 4 PluszhipuLab	77.4	71.3	82.6	79.8	79.7	75.9	4	MAINLINE
34	Codestral 22BmistralLab	77.2	80.7	77.9	74.0	79.1	71.6	4	MAINLINE
35	DeepSeek Coder V2 16Bdeepseek	76.2	81.7	75.7	73.5	78.5	67.3	4	MAINLINE
36	Yi 1.5 34B ChatyiLab	76.2	81.4	74.3	81.0	73.5	66.8	3	MAINLINE
37	Magnum V4 72Bcommunity	76.0	72.7	76.2	77.7	74.3	81.7	4	MAINLINE
38	Qwen 2.5 Coder 7Balibaba	75.8	77.2	74.0	75.3	76.0	76.4	1	MAINLINE
39	DeepSeek R1 Distill Llama 8BdeepseekLab	75.5	72.7	71.1	81.1	76.3	79.7	2	MAINLINE
40	Gemma 2 27B ITgoogle	75.0	72.5	75.9	76.3	74.9	76.6	3	FEEDER
41	Gemma 3 12B ITgoogle	74.9	74.4	75.7	73.4	72.3	79.6	3	MAINLINE
42	Llama 4 405Bmeta	74.2	71.6	77.1	73.9	77.6	71.6	12	FEEDER
43	Aya 23 35Bcohere	73.4	73.9	72.9	71.2	73.6	75.3	1	FEEDER
44	Mistral Small 24B Instructmistral	73.1	76.8	71.8	71.8	72.7	70.3	1	FEEDER
45	Command R+cohere	73.1	70.8	75.8	77.4	72.8	68.8	5	FEEDER
46	Phi 3.5 MoE 42Bmicrosoft	73.0	72.4	72.9	73.0	77.5	69.1	1	FEEDER
47	L3 70B Euryalecommunity	72.6	74.7	76.0	74.2	71.5	63.1	1	FEEDER
48	InternLM 2.5 20B Chatinternlm	72.0	70.7	71.9	76.1	74.4	67.1	2	FEEDER
49	Phi 4 14BmicrosoftLab	72.0	72.3	74.0	70.0	69.5	73.7	2	FEEDER
50	StarCoder2 15BbigcodeLab	71.8	70.7	71.7	73.5	72.1	71.7	1	FEEDER
51	Qwen 3 8B InstructalibabaLab	71.8	70.3	69.1	74.3	72.6	74.4	1	FEEDER
52	Grok-1 314Bxai	70.9	69.7	69.2	67.7	72.2	77.8	1	FEEDER