Split (1)

train · 315 rows

model stringclasses 25 values	architecture stringclasses 5 values	params_b float64 8.95 79.7 ⌀	quant stringclasses 22 values	size_gib float64 0 58.3	engine stringclasses 5 values	backend stringclasses 1 value	gpu stringclasses 1 value	vram_gb int64 32 32	test stringclasses 7 values	tokens_per_sec float64 28.9 30.7k	stddev float64 0.04 497 ⌀	date stringdate 2026-05-28 00:00:00 2026-08-23 00:00:00
Qwen3.6-35B-A3B	MoE (3B active)	34.66	UD-Q4_K_M	20.61	llama.cpp	CUDA	RTX 5090	32	pp128	3,605.03	48.69	2026-05-28
Qwen3.6-35B-A3B	MoE (3B active)	34.66	UD-Q4_K_M	20.61	llama.cpp	CUDA	RTX 5090	32	pp512	9,239.86	63.85	2026-05-28
Qwen3.6-35B-A3B	MoE (3B active)	34.66	UD-Q4_K_M	20.61	llama.cpp	CUDA	RTX 5090	32	pp2048	9,041.04	65.96	2026-05-28
Qwen3.6-35B-A3B	MoE (3B active)	34.66	UD-Q4_K_M	20.61	llama.cpp	CUDA	RTX 5090	32	pp4096	8,760.53	53.07	2026-05-28
Qwen3.6-35B-A3B	MoE (3B active)	34.66	UD-Q4_K_M	20.61	llama.cpp	CUDA	RTX 5090	32	pp8192	8,442.99	37.16	2026-05-28
Qwen3.6-35B-A3B	MoE (3B active)	34.66	UD-Q4_K_M	20.61	llama.cpp	CUDA	RTX 5090	32	pp16384	7,713.79	15.46	2026-05-28
Qwen3.6-35B-A3B	MoE (3B active)	34.66	UD-Q4_K_M	20.61	llama.cpp	CUDA	RTX 5090	32	tg128	270.97	1.24	2026-05-28
Qwen3.6-27B	Dense	26.9	Q4_K_M	15.66	llama.cpp	CUDA	RTX 5090	32	pp128	2,972.93	322.84	2026-05-28
Qwen3.6-27B	Dense	26.9	Q4_K_M	15.66	llama.cpp	CUDA	RTX 5090	32	pp512	3,825.83	41.56	2026-05-28
Qwen3.6-27B	Dense	26.9	Q4_K_M	15.66	llama.cpp	CUDA	RTX 5090	32	pp2048	3,740.84	1.29	2026-05-28
Qwen3.6-27B	Dense	26.9	Q4_K_M	15.66	llama.cpp	CUDA	RTX 5090	32	pp4096	3,644.93	2.76	2026-05-28
Qwen3.6-27B	Dense	26.9	Q4_K_M	15.66	llama.cpp	CUDA	RTX 5090	32	pp8192	3,484.57	7.2	2026-05-28
Qwen3.6-27B	Dense	26.9	Q4_K_M	15.66	llama.cpp	CUDA	RTX 5090	32	pp16384	3,161.79	3.66	2026-05-28
Qwen3.6-27B	Dense	26.9	Q4_K_M	15.66	llama.cpp	CUDA	RTX 5090	32	tg128	77.09	0.16	2026-05-28
Nemotron-3-Nano-30B-A3B	MoE (3B active)	31.58	Q4_K_M	22.88	llama.cpp	CUDA	RTX 5090	32	pp128	4,423.05	74.78	2026-05-28
Nemotron-3-Nano-30B-A3B	MoE (3B active)	31.58	Q4_K_M	22.88	llama.cpp	CUDA	RTX 5090	32	pp512	10,674.44	108.43	2026-05-28
Nemotron-3-Nano-30B-A3B	MoE (3B active)	31.58	Q4_K_M	22.88	llama.cpp	CUDA	RTX 5090	32	pp2048	10,277.54	40.85	2026-05-28
Nemotron-3-Nano-30B-A3B	MoE (3B active)	31.58	Q4_K_M	22.88	llama.cpp	CUDA	RTX 5090	32	pp4096	9,999.48	26.46	2026-05-28
Nemotron-3-Nano-30B-A3B	MoE (3B active)	31.58	Q4_K_M	22.88	llama.cpp	CUDA	RTX 5090	32	pp8192	9,448.36	34.02	2026-05-28
Nemotron-3-Nano-30B-A3B	MoE (3B active)	31.58	Q4_K_M	22.88	llama.cpp	CUDA	RTX 5090	32	pp16384	8,558.68	16.72	2026-05-28
Nemotron-3-Nano-30B-A3B	MoE (3B active)	31.58	Q4_K_M	22.88	llama.cpp	CUDA	RTX 5090	32	tg128	363.69	1.58	2026-05-28
gpt-oss-20b	Dense	20.91	Q4_K_M	10.81	llama.cpp	CUDA	RTX 5090	32	pp128	7,220.69	67.12	2026-05-28
gpt-oss-20b	Dense	20.91	Q4_K_M	10.81	llama.cpp	CUDA	RTX 5090	32	pp512	16,749.65	148.73	2026-05-28
gpt-oss-20b	Dense	20.91	Q4_K_M	10.81	llama.cpp	CUDA	RTX 5090	32	pp2048	13,524.44	12.42	2026-05-28
gpt-oss-20b	Dense	20.91	Q4_K_M	10.81	llama.cpp	CUDA	RTX 5090	32	pp4096	11,684.53	43.99	2026-05-28
gpt-oss-20b	Dense	20.91	Q4_K_M	10.81	llama.cpp	CUDA	RTX 5090	32	pp8192	9,413.7	16.38	2026-05-28
gpt-oss-20b	Dense	20.91	Q4_K_M	10.81	llama.cpp	CUDA	RTX 5090	32	pp16384	6,677.6	14.13	2026-05-28
gpt-oss-20b	Dense	20.91	Q4_K_M	10.81	llama.cpp	CUDA	RTX 5090	32	tg128	367.9	1.18	2026-05-28
Qwen3.6-27B-MTP	Dense (MTP)	27.32	Q4_K_M	15.92	llama.cpp	CUDA	RTX 5090	32	pp128	2,972.2	321.87	2026-05-28
Qwen3.6-27B-MTP	Dense (MTP)	27.32	Q4_K_M	15.92	llama.cpp	CUDA	RTX 5090	32	pp512	3,835.77	43.26	2026-05-28
Qwen3.6-27B-MTP	Dense (MTP)	27.32	Q4_K_M	15.92	llama.cpp	CUDA	RTX 5090	32	pp2048	3,746.68	1.53	2026-05-28
Qwen3.6-27B-MTP	Dense (MTP)	27.32	Q4_K_M	15.92	llama.cpp	CUDA	RTX 5090	32	pp4096	3,655.53	9.44	2026-05-28
Qwen3.6-27B-MTP	Dense (MTP)	27.32	Q4_K_M	15.92	llama.cpp	CUDA	RTX 5090	32	pp8192	3,495.59	4.04	2026-05-28
Qwen3.6-27B-MTP	Dense (MTP)	27.32	Q4_K_M	15.92	llama.cpp	CUDA	RTX 5090	32	pp16384	3,161.77	3.81	2026-05-28
Qwen3.6-27B-MTP	Dense (MTP)	27.32	Q4_K_M	15.92	llama.cpp	CUDA	RTX 5090	32	tg128	76.99	0.09	2026-05-28
Qwen3-Coder-Next	MoE	79.67	UD-Q2_K_XL	24.92	llama.cpp	CUDA	RTX 5090	32	pp128	2,381.32	29.12	2026-05-28
Qwen3-Coder-Next	MoE	79.67	UD-Q2_K_XL	24.92	llama.cpp	CUDA	RTX 5090	32	pp512	4,447.3	39.42	2026-05-28
Qwen3-Coder-Next	MoE	79.67	UD-Q2_K_XL	24.92	llama.cpp	CUDA	RTX 5090	32	pp2048	4,420.86	35.94	2026-05-28
Qwen3-Coder-Next	MoE	79.67	UD-Q2_K_XL	24.92	llama.cpp	CUDA	RTX 5090	32	pp4096	4,380.75	11.49	2026-05-28
Qwen3-Coder-Next	MoE	79.67	UD-Q2_K_XL	24.92	llama.cpp	CUDA	RTX 5090	32	pp8192	4,250.74	14.71	2026-05-28
Qwen3-Coder-Next	MoE	79.67	UD-Q2_K_XL	24.92	llama.cpp	CUDA	RTX 5090	32	pp16384	4,042.73	18.93	2026-05-28
Qwen3-Coder-Next	MoE	79.67	UD-Q2_K_XL	24.92	llama.cpp	CUDA	RTX 5090	32	tg128	224.87	1.86	2026-05-28
Gemma 4 12B	Dense	11.91	Q6_K	9.1	llama.cpp	CUDA	RTX 5090	32	pp128	5,099.28	452.85	2026-06-04
Gemma 4 12B	Dense	11.91	Q6_K	9.1	llama.cpp	CUDA	RTX 5090	32	pp512	7,160.37	149.07	2026-06-04
Gemma 4 12B	Dense	11.91	Q6_K	9.1	llama.cpp	CUDA	RTX 5090	32	pp2048	6,788.28	10.42	2026-06-04
Gemma 4 12B	Dense	11.91	Q6_K	9.1	llama.cpp	CUDA	RTX 5090	32	pp4096	6,605.39	1.81	2026-06-04
Gemma 4 12B	Dense	11.91	Q6_K	9.1	llama.cpp	CUDA	RTX 5090	32	pp8192	6,359.06	5.49	2026-06-04
Gemma 4 12B	Dense	11.91	Q6_K	9.1	llama.cpp	CUDA	RTX 5090	32	pp16384	5,846.08	5.21	2026-06-04
Gemma 4 12B	Dense	11.91	Q6_K	9.1	llama.cpp	CUDA	RTX 5090	32	tg128	122.3	0.19	2026-06-04
Gemma 4 31B	null	null	Q6_K	23.47	llama.cpp	CUDA	RTX 5090	32	pp128	2,644.49	138.18	2026-08-11
Gemma 4 31B	null	null	Q6_K	23.47	llama.cpp	CUDA	RTX 5090	32	pp512	3,165.36	20.76	2026-08-11
Gemma 4 31B	null	null	Q6_K	23.47	llama.cpp	CUDA	RTX 5090	32	pp2048	3,093.67	2.02	2026-08-11
Gemma 4 31B	null	null	Q6_K	23.47	llama.cpp	CUDA	RTX 5090	32	pp4096	3,037.99	2.1	2026-08-11
Gemma 4 31B	null	null	Q6_K	23.47	llama.cpp	CUDA	RTX 5090	32	pp8192	2,953.27	3.93	2026-08-11
Gemma 4 31B	null	null	Q6_K	23.47	llama.cpp	CUDA	RTX 5090	32	pp16384	2,785.6	3.73	2026-08-11
Gemma 4 31B	null	null	Q6_K	23.47	llama.cpp	CUDA	RTX 5090	32	tg128	55.35	0.05	2026-08-11
Gemma 4 31B	null	null	Q4_0	16.44	llama.cpp	CUDA	RTX 5090	32	pp128	3,546.22	266.69	2026-08-11
Gemma 4 31B	null	null	Q4_0	16.44	llama.cpp	CUDA	RTX 5090	32	pp512	4,255.26	36.12	2026-08-11
Gemma 4 31B	null	null	Q4_0	16.44	llama.cpp	CUDA	RTX 5090	32	pp2048	4,127.19	5.1	2026-08-11
Gemma 4 31B	null	null	Q4_0	16.44	llama.cpp	CUDA	RTX 5090	32	pp4096	4,033.08	4.96	2026-08-11
Gemma 4 31B	null	null	Q4_0	16.44	llama.cpp	CUDA	RTX 5090	32	pp8192	3,890.43	3.72	2026-08-11
Gemma 4 31B	null	null	Q4_0	16.44	llama.cpp	CUDA	RTX 5090	32	pp16384	3,609.49	6.18	2026-08-11
Gemma 4 31B	null	null	Q4_0	16.44	llama.cpp	CUDA	RTX 5090	32	tg128	76.39	0.08	2026-08-11
gpt-oss-120B	null	null	MXFP4	0.01	llama.cpp	CUDA	RTX 5090	32	pp128	124.48	33.08	2026-08-11
gpt-oss-120B	null	null	MXFP4	0.01	llama.cpp	CUDA	RTX 5090	32	pp512	484.36	37.28	2026-08-11
gpt-oss-120B	null	null	MXFP4	0.01	llama.cpp	CUDA	RTX 5090	32	pp2048	588.24	15.03	2026-08-11
gpt-oss-120B	null	null	MXFP4	0.01	llama.cpp	CUDA	RTX 5090	32	tg128	46.48	0.41	2026-08-11
LFM2.5-8B-A1B	null	null	Q8_0	8.39	llama.cpp	CUDA	RTX 5090	32	pp128	11,428.31	54.16	2026-08-11
LFM2.5-8B-A1B	null	null	Q8_0	8.39	llama.cpp	CUDA	RTX 5090	32	pp512	30,680.66	388.01	2026-08-11
LFM2.5-8B-A1B	null	null	Q8_0	8.39	llama.cpp	CUDA	RTX 5090	32	pp2048	29,341.85	120.19	2026-08-11
LFM2.5-8B-A1B	null	null	Q8_0	8.39	llama.cpp	CUDA	RTX 5090	32	pp4096	27,078.92	73.9	2026-08-11
LFM2.5-8B-A1B	null	null	Q8_0	8.39	llama.cpp	CUDA	RTX 5090	32	pp8192	23,649.47	19.95	2026-08-11
LFM2.5-8B-A1B	null	null	Q8_0	8.39	llama.cpp	CUDA	RTX 5090	32	pp16384	18,653.47	21.65	2026-08-11
LFM2.5-8B-A1B	null	null	Q8_0	8.39	llama.cpp	CUDA	RTX 5090	32	tg128	563.12	3.13	2026-08-11
Ling-3.0-flash	null	null	IQ2_M	39.21	llama.cpp	CUDA	RTX 5090	32	pp128	138.93	13.42	2026-08-11
Ling-3.0-flash	null	null	IQ2_M	39.21	llama.cpp	CUDA	RTX 5090	32	pp512	400.64	8.5	2026-08-11
Ling-3.0-flash	null	null	IQ2_M	39.21	llama.cpp	CUDA	RTX 5090	32	pp2048	414.94	1.91	2026-08-11
Ling-3.0-flash	null	null	IQ2_M	39.21	llama.cpp	CUDA	RTX 5090	32	pp4096	418.1	1.68	2026-08-11
Ling-3.0-flash	null	null	IQ2_M	39.21	llama.cpp	CUDA	RTX 5090	32	pp8192	419.3	0.46	2026-08-11
Ling-3.0-flash	null	null	IQ2_M	39.21	llama.cpp	CUDA	RTX 5090	32	pp16384	420.64	0.54	2026-08-11
Ling-3.0-flash	null	null	IQ2_M	39.21	llama.cpp	CUDA	RTX 5090	32	tg128	45.55	0.08	2026-08-11
Ling-3.0-flash	null	null	IQ3_XXS	47.69	llama.cpp	CUDA	RTX 5090	32	pp128	28.9	13.92	2026-08-11
Ling-3.0-flash	null	null	IQ3_XXS	47.69	llama.cpp	CUDA	RTX 5090	32	pp512	207.77	37.28	2026-08-11
Ling-3.0-flash	null	null	IQ3_XXS	47.69	llama.cpp	CUDA	RTX 5090	32	pp2048	338.06	15.57	2026-08-11
Ling-3.0-flash	null	null	IQ3_XXS	47.69	llama.cpp	CUDA	RTX 5090	32	pp4096	361.33	2.86	2026-08-11
Ling-3.0-flash	null	null	IQ3_XXS	47.69	llama.cpp	CUDA	RTX 5090	32	pp8192	369.57	1.4	2026-08-11
Ling-3.0-flash	null	null	IQ3_XXS	47.69	llama.cpp	CUDA	RTX 5090	32	pp16384	374.39	1.1	2026-08-11
Ling-3.0-flash	null	null	IQ3_XXS	47.69	llama.cpp	CUDA	RTX 5090	32	tg128	39.55	0.11	2026-08-11
Ling-3.0-flash	null	null	Q3_K_M	58.27	llama.cpp	CUDA	RTX 5090	32	pp128	72.95	15.94	2026-08-11
Ling-3.0-flash	null	null	Q3_K_M	58.27	llama.cpp	CUDA	RTX 5090	32	pp512	261.13	14.51	2026-08-11
Ling-3.0-flash	null	null	Q3_K_M	58.27	llama.cpp	CUDA	RTX 5090	32	pp2048	290.12	2.38	2026-08-11
Ling-3.0-flash	null	null	Q3_K_M	58.27	llama.cpp	CUDA	RTX 5090	32	pp4096	298.45	1.24	2026-08-11
Ling-3.0-flash	null	null	Q3_K_M	58.27	llama.cpp	CUDA	RTX 5090	32	pp8192	300.37	1.03	2026-08-11
Ling-3.0-flash	null	null	Q3_K_M	58.27	llama.cpp	CUDA	RTX 5090	32	pp16384	302.48	0.92	2026-08-11
Ling-3.0-flash	null	null	Q3_K_M	58.27	llama.cpp	CUDA	RTX 5090	32	tg128	46.01	0.2	2026-08-11
Mistral Small 4 119B	null	null	MXFP4	0.01	llama.cpp	CUDA	RTX 5090	32	pp128	74.03	16.11	2026-08-11
Mistral Small 4 119B	null	null	MXFP4	0.01	llama.cpp	CUDA	RTX 5090	32	pp512	243.11	56.86	2026-08-11
Mistral Small 4 119B	null	null	MXFP4	0.01	llama.cpp	CUDA	RTX 5090	32	pp2048	312.81	4.43	2026-08-11
Mistral Small 4 119B	null	null	MXFP4	0.01	llama.cpp	CUDA	RTX 5090	32	pp4096	312.81	1.07	2026-08-11
Mistral Small 4 119B	null	null	MXFP4	0.01	llama.cpp	CUDA	RTX 5090	32	pp8192	308.99	1.15	2026-08-11

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