Codesota · Models2,268 models indexed · 854 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 · Natural Language Processing models

854 models in Natural Language Processing · page 17 of 18.

#ModelVendorParametersArchitectureBenchmarksResults
801F2LLM-v2-4B———11
802F2LLM-v2-8B———11
803gemini-embedding-001———11
804GIST-large-Embedding-v0———11
805GLiNER-multitaskKnowledgatorUnknownDeBERTa-based generalist IE model11
806Google TranslateGoogle—Transformer (NMT)11
807gpt-4-turbo-2024-04-09Unknown——11
808GritLM-7B———11
809GritLM-8x7B———11
810gte-Qwen2-1.5B-instruct———11
811Hanvon_model (single model)Hanvon_WuHan——11
812ICT-TIME-and-Querit-embedding-v1———11
813Insight-baseline-BERT (single model)PAII Insight Team——11
814jasper_en_vision_language_v1———11
815Jasper-Token-Compression-600M———11
816jina-embeddings-v3Jina AI570MTransformer with task LoRA11
817jina-embeddings-v5-omni-nano———11
818jina-embeddings-v5-omni-small———11
819jina-embeddings-v5-text-nano———11
820jina-embeddings-v5-text-small———11
821jina-reranker-v2-base-multilingualJina AI278MTransformer (multilingual cross-encoder)11
822KaLM-embedding-multilingual-mini-instruct-v2.5———11
823LGAI-Embedding-Preview———11
824Linq-Embed-Mistral———11
825Logistic Regression (SQuAD baseline)Stanford NLP——11
826mDeBERTa-v3-baseMicrosoft86MDeBERTa-v3 (multilingual)11
827ModernBERT (large)———11
828MonoT5-3BCastorini (Waterloo)3BT5-3B (seq2seq reranker)11
829mxbai-embed-large-v1———11
830NLLB-3.3BMeta3.3BTransformer (dense MT)11
831NV-Embed-v1———11
832PaLM 2 (Large)GoogleUnknownTransformer (decoder-only)11
833Qwen3-Embedding-0.6B———11
834Qwen3-Embedding-4B———11
835Qwen3-Embedding-8B———11
836QZhou-Embedding———11
837RankLLaMA-7BCastorini (Waterloo)7BLLaMA-2-7B (pointwise reranker)11
838RoBERTa-largeMeta355MBERT-large (robustly optimized)11
839RoBERTa (single model)Meta——11
840RoBERTa+Verify (single model)CW——11
841SFR-Embedding-Mistral———11
842SLQA+ (single model)Alibaba iDST——11
843SpanBERT (single model)FAIR & UW——11
844stella_en_1.5B_v5———11
845stella_en_400M_v5———11
846TAPAS-largeGoogle340MBERT-large (table-augmented)11
847text-embedding-3-largeOpenAI—Transformer11
848UAE-Large-V1———11
849Vega v2 (6B)JD Explore Academy——11
850voyage-3-largeVoyage AI—Transformer11