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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 15 of 18.

#ModelVendorParametersArchitectureBenchmarksResults
701Qwen3.5-4BAlibaba——17
702Qwen3.5-9BAlibaba——17
703Qwen3-8BAlibaba——17
704Qwen3-Next-80B-A3B-InstructAlibaba——17
705Qwen3-Next-80B-A3B-ThinkingAlibaba——17
706Qwen-MaxAlibaba——17
707Qwen-PlusAlibaba——17
708Qwen-Turbo-2024-11-01Alibaba——17
709WizardLM-2-8x22bMicrosoft——17
710BitNet b1.58 2B4T———66
711BRIOYale NLPUnknownBART-large with contrastive learning objective26
712CYFRAGOVPL/Llama-PLLuM-70B-chatCYFRAGOVPL70.6B—26
713CYFRAGOVPL/Llama-PLLuM-70B-instructCYFRAGOVPL70.6B—26
714CYFRAGOVPL/Llama-PLLuM-8B-chatCYFRAGOVPL8.03B—26
715CYFRAGOVPL/PLLuM-12B-chatCYFRAGOVPL12.2B—26
716CYFRAGOVPL/PLLuM-12B-instructCYFRAGOVPL12.2B—26
717CYFRAGOVPL/pllum-12b-nc-chat-250715CYFRAGOVPL12.2B—26
718CYFRAGOVPL/PLLuM-8x7B-chatCYFRAGOVPL46.7B—26
719CYFRAGOVPL/PLLuM-8x7B-instructCYFRAGOVPL46.7B—26
720CYFRAGOVPL/PLLuM-8x7B-nc-chatCYFRAGOVPL46.7B—26
721CYFRAGOVPL/PLLuM-8x7B-nc-instructCYFRAGOVPL46.7B—26
722DeBERTa-v3-largeMicrosoft304MDeBERTa-v3-large56
723HRM-Text-1B———66
724Kimi K2.6———66
725Llama 2 70B (5-shot)———66
726MiniMax-Text-01MiniMax——66
727NVIDIA-Nemotron-3-Super-120B-A12B-BF16———66
728Qwen2 72BAlibabaUnknownTransformer (decoder-only)56
729🚧Qwen3-30B-A3BAlibaba——16
730Step-3.5-Flash———66
731CYFRAGOVPL/Llama-PLLuM-8B-instructCYFRAGOVPL8.03B—15
732CYFRAGOVPL/PLLuM-12B-nc-chatCYFRAGOVPL12.2B—15
733CYFRAGOVPL/PLLuM-12B-nc-instructCYFRAGOVPL12.2B—15
734CYFRAGOVPL/pllum-12b-nc-instruct-250715CYFRAGOVPL12.2B—15
735deepseek-ai/DeepSeek-R1 (API)DeepSeek685B—15
736deepseek-ai/DeepSeek-V3.1 (API)DeepSeek685B—15
737deepseek-ai/DeepSeek-V3.2 (API)DeepSeek685B—15
738deepseek-ai/DeepSeek-V3 (API)DeepSeek685B—15
739DeepSeek-V4-Flash MaxDeepSeek——55
740DeepSeek-V4-Pro MaxDeepSeek——55
741gemini-2.0-flash-001Google——15
742gemini-2.0-flash-lite-001Google——15
743Gemma 3 (27B, IT)———55
744h2oai/h2o-danube2-1.8b-chath2oai1.83B—15
745LGAI-EXAONE/EXAONE-3.5-2.4B-InstructLGAI-EXAONE2.41B—15
746meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8 (API)Meta402B—15
747mistralai/Mistral-Small-3.1-24B-Instruct-2503 (API FP8)mistralai24B—15
748mistralai/Mistral-Small-3.2-24B-Instruct-2506 (API FP8)mistralai24B—15
749moonshotai/Kimi-K2-Instruct-0905 (API)moonshotai1000B—15
750NousResearch/Hermes-3-Llama-3.2-3BNousResearch3.21B—15