Datasets:

lmms-lab
/

LiveBenchResults

Model Name stringlengths 6 27	Total float64 36.1 93	Basic Understanding float64 16 93.2	Contextual Analysis float64 29.6 90.8	Deeper Implications float64 35.6 92.8	Broader Implications float64 45.4 99	Further Insights float64 28.6 94
gemini-1.5-pro	85.84	92.4	81	84	92.2	79.6
internvl2-2b	51.92	49	44.6	48.4	61.8	55.8
gemini-1.5-flash	85.68	86.8	83	84.6	87.8	86.2
internvl2-8b	73.4	81.2	68.6	71	76.6	69.6
gpt-4-turbo	92.96	91.6	89.4	90.8	99	94
gpt-4o	92.4	91	89.8	92.8	96.4	92
internvl2-4b	68.16	71.2	60.2	66.6	76.4	66.4
llava-1.5-13b	48.92	23.2	37.4	56	72.2	55.8
llava-1.5-7b	45.64	19	36.4	56.2	69.2	47.4
llava-v1.6-34b	78.36	73	72.4	82.4	87.8	76.2
InternVL2-26B	77.2	75.8	72	80.4	78.6	79.2
internlm-xcomposer2-4khd-7b	70.68	76.8	65.4	70	72.8	68.4
idefics2-8b	36.12	41.4	29.6	35.6	45.4	28.6
InternVL-Chat-V1-5	80.12	80.6	80.8	79.2	80.6	79.4
instructblip-vicuna-13b	42.88	24.6	32.6	48.8	66.6	41.8
instructblip-vicuna-7b	40.44	16	32.8	44.2	60.4	48.8
llava-next-72b	80.16	76.2	72.8	84.8	86.2	80.8
llama3-llava-next-8b	67.777778	50.851064	62.653061	74.693878	80	70
claude-3-5-sonnet-20240620	92.32	93.2	90.8	91.4	95.2	91

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