Every model, measured.

Start with a research area, drill into a vendor, or page through the full index. Only models with at least one benchmark score appear — a model without a recorded score can’t be ranked.

Vendor:Areas overview speakleash · 253 OpenAI · 85 Google · 71 Qwen · 52 Alibaba · 47 Anthropic · 44 Microsoft · 35 Meta · 30 Mistral · 30 DeepSeek · 28 google · 19 meta-llama · 19 mistralai · 19 Meta AI · 15 CYFRAGOVPL · 14 Zhipu AI · 13 NVIDIA · 10 SpeakLeash · 10 internlm · 10 xAI · 10 ByteDance · 9 Baidu · 8 PLLuM · 8 ibm-granite · 8 microsoft · 8 Amazon · 7 Google DeepMind · 7 MiniMax · 7 Mistral AI · 7 Remek · 7 Shanghai AI Lab · 7 allenai · 7 utter-project · 7 CohereForAI · 6 Microsoft Research · 6 Salesforce · 6 01-ai · 5 Alibaba Cloud · 5 Cohere · 5 Moonshot AI · 5 NousResearch · 5 THUML · 5 deepseek-ai · 5 DeepMind · 4 Facebook AI · 4 IBM · 4 Meituan · 4 Stanford · 4 THUDM · 4 UC San Diego · 4 VikParuchuri · 4 gguf-iq · 4 nvidia · 4 openchat · 4 tiiuae · 4 Allen AI · 3 BAAI · 3 Du et al. · 3 ForgeCode · 3 Fudan University · 3 IDEA Research · 3 Liao et al. · 3 Moonshot.AI · 3 Nam Tuan Ly / NII · 3 OPI-PG · 3 OpenDataLab · 3 ViCoS Lab Ljubljana · 3 Xiaomi · 3 Zhao et al. · 3 gguf · 3 gguf11bv30 · 3 gguf7bv30 · 3 upstage · 3+ 247 smaller vendors (291 models)

§ 01 · Natural Language Processing models

842 models in Natural Language Processing · page 15 of 17.

#	Model	Vendor	Parameters	Architecture	SOTA	Benchmarks	Results
701	Mistral-Small-3.2-24B-2506	Mistral	—	—	—	1	7
702	Mistral-Small-4	Mistral	—	—	—	1	7
703	O1-2024-12-17	OpenAI	—	—	—	1	7
704	O1-mini-2024-09-12	OpenAI	—	—	—	1	7
705	O3-2025-04-16	OpenAI	—	—	—	1	7
706	O3-mini-2025-01-31	OpenAI	—	—	—	1	7
707	O4-Mini-2025-04-16	OpenAI	—	—	—	1	7
708	PLLuM-12B-nc-chat-250715	PLLuM	—	—	—	1	7
709	Qwen-2.5-14b	Alibaba	—	—	—	1	7
710	Qwen-2.5-32b	Alibaba	—	—	—	1	7
711	Qwen-2.5-72b	Alibaba	—	—	—	1	7
712	Qwen-2.5-7b	Alibaba	—	—	—	1	7
713	Qwen-Max	Alibaba	—	—	—	1	7
714	Qwen-Plus	Alibaba	—	—	—	1	7
715	Qwen-Turbo-2024-11-01	Alibaba	—	—	—	1	7
716	Qwen3-14B	Alibaba	—	—	—	1	7
717	Qwen3-30B-A3B	Alibaba	—	—	—	1	7
718	Qwen3-32B	Alibaba	—	—	—	1	7
719	Qwen3-8B	Alibaba	—	—	—	1	7
720	Qwen3-Next-80B-A3B-Instruct	Alibaba	—	—	—	1	7
721	Qwen3-Next-80B-A3B-Thinking	Alibaba	—	—	—	1	7
722	Qwen3.5-2B	Alibaba	—	—	—	1	7
723	Qwen3.5-4B	Alibaba	—	—	—	1	7
724	Qwen3.5-9B	Alibaba	—	—	—	1	7
725	WizardLM-2-8x22b	Microsoft	—	—	—	1	7
726	BitNet b1.58 2B4T	—	—	—	—	6	6
727	CYFRAGOVPL/Llama-PLLuM-70B-chat	CYFRAGOVPL	70.6B	—	—	2	6
728	CYFRAGOVPL/Llama-PLLuM-70B-instruct	CYFRAGOVPL	70.6B	—	—	2	6
729	CYFRAGOVPL/Llama-PLLuM-8B-chat	CYFRAGOVPL	8.03B	—	—	2	6
730	CYFRAGOVPL/PLLuM-12B-chat	CYFRAGOVPL	12.2B	—	—	2	6
731	CYFRAGOVPL/PLLuM-12B-instruct	CYFRAGOVPL	12.2B	—	—	2	6
732	CYFRAGOVPL/PLLuM-8x7B-chat	CYFRAGOVPL	46.7B	—	—	2	6
733	CYFRAGOVPL/PLLuM-8x7B-instruct	CYFRAGOVPL	46.7B	—	—	2	6
734	CYFRAGOVPL/PLLuM-8x7B-nc-chat	CYFRAGOVPL	46.7B	—	—	2	6
735	CYFRAGOVPL/PLLuM-8x7B-nc-instruct	CYFRAGOVPL	46.7B	—	—	2	6
736	CYFRAGOVPL/pllum-12b-nc-chat-250715	CYFRAGOVPL	12.2B	—	—	2	6
737	HRM-Text-1B	—	—	—	—	6	6
738	NVIDIA-Nemotron-3-Super-120B-A12B-BF16	—	—	—	—	6	6
739	Qwen2 72B	Alibaba	Unknown	Transformer (decoder-only)	—	5	6
740	Step-3.5-Flash	—	—	—	—	6	6
741	🚧Qwen3-30B-A3B	Qwen	—	—	—	1	6
742	CYFRAGOVPL/Llama-PLLuM-8B-instruct	CYFRAGOVPL	8.03B	—	—	1	5
743	CYFRAGOVPL/PLLuM-12B-nc-chat	CYFRAGOVPL	12.2B	—	—	1	5
744	CYFRAGOVPL/PLLuM-12B-nc-instruct	CYFRAGOVPL	12.2B	—	—	1	5
745	CYFRAGOVPL/pllum-12b-nc-instruct-250715	CYFRAGOVPL	12.2B	—	—	1	5
746	DeepSeek-V4-Flash Max	DeepSeek	—	—	—	5	5
747	Gemma 3 (27B, IT)	—	—	—	—	5	5
748	LGAI-EXAONE/EXAONE-3.5-2.4B-Instruct	LGAI-EXAONE	2.41B	—	—	1	5
749	NousResearch/Hermes-3-Llama-3.2-3B	NousResearch	3.21B	—	—	1	5
750	OLMo-2-7B-1124 (olmOCR-peS2o)	—	—	—	—	5	5