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

§ 01 · Natural Language Processing models

854 models in Natural Language Processing · page 2 of 18.

#	Model	Vendor	Parameters	Architecture	Benchmarks	Results
051	THUDM/glm-4-9b-chat	THUDM	9.4B	—	3	17
052	utter-project/EuroLLM-9B-Instruct	utter-project	9B	—	3	17
053	google/gemma-2-2b-it	Google	2.61B	—	2	16
054	google/gemma-3-27b-it (API)	Google	27.4B	—	2	16
055	ibm-granite/granite-3.1-2b-instruct	ibm-granite	2.53B	—	2	16
056	Kimi-K2.5	Moonshot.AI	—	—	10	16
057	Llama-PLLuM-70B-chat	PLLuM	—	—	2	16
058	Llama-PLLuM-8B-chat	PLLuM	—	—	2	16
059	meta-llama/Llama-4-Scout-17B-16E-Instruct (API)	Meta	109B	—	2	16
060	meta-llama/Meta-Llama-3.1-8B-Instruct	Meta	8.03B	—	2	16
061	microsoft/Phi-3.5-mini-instruct	Microsoft	3.82B	—	2	16
062	microsoft/phi-4	Microsoft	14.7B	—	3	16
063	Mixtral-8x7b	Mistral	—	—	2	16
064	PLLuM-12B-chat	PLLuM	—	—	2	16
065	PLLuM-12B-nc-chat	PLLuM	—	—	2	16
066	PLLuM-8x7B-chat	PLLuM	—	—	2	16
067	PLLuM-8x7B-nc-chat	PLLuM	—	—	2	16
068	Qwen3.5-122B-A10B	Alibaba	—	—	10	16
069	Qwen3.5-27B	Alibaba	—	—	10	16
070	Qwen3.5-35B-A3B	Alibaba	—	—	10	16
071	speakleash/Bielik-11B-v2.5-Instruct	SpeakLeash	11.2B	—	3	16
072	speakleash/Bielik-4.5B-v3.0-Instruct	SpeakLeash	4.8B	—	3	16
073	utter-project/EuroLLM-1.7B-Instruct	utter-project	1.66B	—	2	16
074	DeepSeek-V3	DeepSeek	—	LLM	9	15
075	Grok 4	xAI	—	—	6	15
076	HuggingFaceTB/SmolLM2-1.7B-Instruct	HuggingFaceTB	1.71B	—	2	15
077	Llama 4 Maverick	Meta	400B total / 17B active (128 experts)	Mixture-of-Experts Transformer	9	15
078	speakleash/Bielik-1.5B-v3.0-Instruct	SpeakLeash	1.6B	—	2	15
079	Claude 3 Opus	Anthropic	—	—	8	14
080	DeepSeek-V3.2	DeepSeek	—	—	8	14
081	GLM-4.5	Zhipu AI	—	—	8	14
082	GLM-4.5-Air	Zhipu AI	—	—	7	13
083	GPT-4	OpenAI	—	Transformer (LLM)	6	13
084	GPT-4 Turbo	OpenAI	Undisclosed	—	6	13
085	internlm2-chat-7b	internlm	—	—	2	13
086	internlm2-chat-7b-sft	internlm	—	—	2	13
087	Llama 3.1 405B	Meta	—	—	12	13
088	Mistral-7B-Instruct-v0.2	mistralai	—	—	2	13
089	OpenChat3.5-0106-Spichlerz-Bocian	Remek	—	—	2	13
090	OpenChat3.5-0106-Spichlerz-Inst-001	Remek	—	—	2	13
091	openchat-3.5-1210	openchat	—	—	2	13
092	OpenHermes-2.5-Mistral-7B	teknium	—	—	2	13
093	Starling-LM-7B-beta	Nexusflow	—	—	2	13
094	aya-23-35B	CohereForAI	—	—	2	12
095	aya-23-8B	CohereForAI	—	—	2	12
096	Bielik-11B-v2	SpeakLeash	—	—	1	12
097	Bielik-7B-v0.1	SpeakLeash	—	—	1	12
098	Bielik-SOLAR-LIKE-10.7B-Instruct-v0.1	TeeZee	—	—	2	12
099	c4ai-command-r-v01	CohereForAI	—	—	2	12
100	Curie-7B-v1	szymonrucinski	—	—	1	12