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 3 of 17.

#	Model	Vendor	Parameters	Architecture	SOTA	Benchmarks	Results
101	Qwen3.5-35B-A3B	Alibaba	—	—	—	10	16
102	google/gemma-2-2b-it	google	2.61B	—	—	2	16
103	google/gemma-3-27b-it (API)	google	27.4B	—	—	2	16
104	ibm-granite/granite-3.1-2b-instruct	ibm-granite	2.53B	—	—	2	16
105	meta-llama/Meta-Llama-3.1-8B-Instruct	meta-llama	8.03B	—	—	2	16
106	microsoft/Phi-3.5-mini-instruct	microsoft	3.82B	—	—	2	16
107	microsoft/phi-4	microsoft	14.7B	—	—	3	16
108	speakleash/Bielik-11B-v2.5-Instruct	speakleash	11.2B	—	—	3	16
109	speakleash/Bielik-4.5B-v3.0-Instruct	speakleash	4.8B	—	—	3	16
110	utter-project/EuroLLM-1.7B-Instruct	utter-project	1.66B	—	—	2	16
111	DeepSeek-V3	DeepSeek	—	LLM	—	9	15
112	Grok 4	xAI	—	—	—	6	15
113	HuggingFaceTB/SmolLM2-1.7B-Instruct	HuggingFaceTB	1.71B	—	—	2	15
114	Llama 4 Maverick	Meta	400B total / 17B active (128 experts)	Mixture-of-Experts Transformer	—	9	15
115	speakleash/Bielik-1.5B-v3.0-Instruct	speakleash	1.6B	—	—	2	15
116	Claude 3 Opus	Anthropic	—	—	—	8	14
117	DeepSeek-V3.2	DeepSeek	—	—	—	8	14
118	GLM-4.5	Zhipu AI	—	—	—	8	14
119	GLM-4.5-Air	Zhipu AI	—	—	—	7	13
120	GPT-4 Turbo	OpenAI	Undisclosed	—	—	6	13
121	Llama 3.1 405B	Meta	—	—	—	12	13
122	Mistral-7B-Instruct-v0.2	mistralai	—	—	—	2	13
123	OpenChat3.5-0106-Spichlerz-Bocian	Remek	—	—	—	2	13
124	OpenChat3.5-0106-Spichlerz-Inst-001	Remek	—	—	—	2	13
125	OpenHermes-2.5-Mistral-7B	teknium	—	—	—	2	13
126	Starling-LM-7B-beta	Nexusflow	—	—	—	2	13
127	internlm2-chat-7b	internlm	—	—	—	2	13
128	internlm2-chat-7b-sft	internlm	—	—	—	2	13
129	openchat-3.5-1210	openchat	—	—	—	2	13
130	Bielik-11B-v2	speakleash	—	—	—	1	12
131	Bielik-7B-v0.1	speakleash	—	—	—	1	12
132	Bielik-SOLAR-LIKE-10.7B-Instruct-v0.1	TeeZee	—	—	—	2	12
133	Curie-7B-v1	szymonrucinski	—	—	—	1	12
134	Delexa-7b	lex-hue	—	—	—	2	12
135	Hermes-2-Pro-Llama-3-8B	NousResearch	—	—	—	2	12
136	Hermes-2-Theta-Llama-3-8B	NousResearch	—	—	—	2	12
137	Kruk-7B-SP-001	Remek	—	—	—	2	12
138	Llama-2-7b-chat-hf	meta-llama	—	—	—	1	12
139	Llama-2-7b-hf	meta-llama	—	—	—	1	12
140	Llama-3-8B-Omnibus-1-PL-v01-INSTRUCT	Remek	—	—	—	2	12
141	Llama3-ChatQA-1.5-8B	nvidia	—	—	—	2	12
142	Meta-Llama-3-70B	meta-llama	—	—	—	2	12
143	Mistral-7B-Instruct-v0.1	mistralai	—	—	—	1	12
144	Mistral-7B-v0.2-hf	alpindale	—	—	—	1	12
145	Mistral-Small-Instruct-2409	mistralai	—	—	—	2	12
146	NeuralDaredevil-8B-abliterated	mlabonne	—	—	—	2	12
147	Nous-Hermes-2-SOLAR-10.7B	NousResearch	—	—	—	2	12
148	OpenHermes-13B	teknium	—	—	—	2	12
149	Phi-3-medium-4k-instruct	microsoft	—	—	—	2	12
150	Phi-3-mini-4k-instruct	microsoft	—	—	—	2	12