Codesota · Models2,268 models indexed · 896 match filter
Editorial · Models

Models with recorded evidence.

Start with a research area, drill into a vendor, or page through the full index. Vendor aliases and legacy area IDs are grouped here; original model IDs and model links stay unchanged. Only models with at least one benchmark score appear — a model without a recorded score can’t be ranked.

Vendor:Areas overviewSpeakLeash · 263Alibaba · 104Google · 102OpenAI · 86Meta · 68Microsoft · 49Anthropic · 44DeepSeek · 34Mistral · 30mistralai · 19CYFRAGOVPL · 14NVIDIA · 14Zhipu AI · 13internlm · 10xAI · 10ByteDance · 9Baidu · 8ibm-granite · 8PLLuM · 8allenai · 7Amazon · 7MiniMax · 7Mistral AI · 7Remek · 7Shanghai AI Lab · 7utter-project · 7CohereForAI · 6Salesforce · 601-ai · 5Cohere · 5Moonshot AI · 5NousResearch · 5THUML · 5gguf-iq · 4IBM · 4Meituan · 4openchat · 4Stanford · 4THUDM · 4tiiuae · 4UC San Diego · 4VikParuchuri · 4Allen AI · 3BAAI · 3Du et al. · 3ForgeCode · 3Fudan University · 3gguf · 3gguf11bv30 · 3gguf7bv30 · 3IDEA Research · 3Liao et al. · 3Moonshot.AI · 3Nam Tuan Ly / NII · 3OpenDataLab · 3OPI-PG · 3upstage · 3ViCoS Lab Ljubljana · 3Xiaomi · 3Zhao et al. · 3+ 243 smaller vendors (288 models)
§ 01 · Computer Vision models

896 models in Computer Vision · page 18 of 18.

#ModelVendorParametersArchitectureBenchmarksResults
851YOLOv10-B———11
852YOLOv10-L———11
853YOLOv10-M———11
854YOLOv10-N———11
855YOLOv10-S———11
856YOLOv12-L———11
857YOLOv12-M———11
858YOLOv12-N———11
859YOLOv12-S———11
860YOLOv12-X———11
861YOLOv8-DocLayNetResearchUnknownYOLOv8 fine-tuned on DocLayNet11
862YOLOv8l———11
863YOLOv8l-cls———11
864YOLOv8m———11
865YOLOv8m-cls———11
866YOLOv8n———11
867YOLOv8n-cls———11
868YOLOv8s———11
869YOLOv8s-cls———11
870YOLOv8x———11
871YOLOv8x-cls———11
872cascadetabnetUnknownUnknownUnknown11
873coatnet_2_rw_224.sw_in12k_ft_in1kGoogle—CoAtNet-2 RW, IN12K -> IN1K fine-tune11
874convnext_base.fb_in22k_ft_in1kMeta—ConvNeXt-B, IN22K pre-train, IN1K fine-tune11
875deepseek-vl2-smallUnknownUnknownUnknown11
876docowl2UnknownUnknownUnknown11
877dots.mocrRedNote3BMultimodal OCR (3B params)11
878dots.ocr———11
879gemini-1.5-proUnknownUnknownUnknown11
880glm-4v-9bUnknownUnknownUnknown11
881grok4UnknownUnknownUnknown11
882idefics3-8bUnknownUnknownUnknown11
883internvl3.5-14bUnknownUnknownUnknown11
884llama-3.1-nemotron-nano-vl-8bUnknownUnknownUnknown11
885llava-ov-7bUnknownUnknownUnknown11
886maxvit_base_tf_512.in1kGoogle—MaxViT base, 512 input, timm11
887molmo-7bUnknownUnknownUnknown11
888nextvit_large.bd_ssld_6m_in1k_384ByteDance—Next-ViT Large, SSLD 6M, IN1K @ 38411
889olmOCR-2-7B-1025 (7B)———11
890ovis2.5-8bUnknownUnknownUnknown11
891pMF-H + FD-lossN/A——11
892phi-4-multimodalUnknownUnknownUnknown11
893pil_maskrcnnICT, Chinese Academy of SciencesUnknownMask R-CNN based scene text detector11
894pixtral-12bUnknownUnknownUnknown11
895step-1vUnknownUnknownUnknown11
896swin_large.ms_in22k_ft_in1kMicrosoft—Swin-L, IN22K pre-train, IN1K fine-tune11